ConceptioArchiveGoogle Patents
Google Patentsopen access

Wearable remote electrophysiological monitoring system — The Board Of Trustees Of The University Of Arkansas (US20130281795A1)

The Board Of Trustees Of The University Of Arkansas · Google Patents
Google Patents · Patents · License: Open Access
Open Source ↗
vijayk.varadan
patent, google patents, intellectual property, US20130281795A1, The Board Of Trustees Of The University Of Arkansas, Vijay K. Varadan, en, 2013

ABSTRACT

Abstract

A wearable remote electrophysiological monitoring system. The system includes a garment having at least one nanostructured, textile-integrated electrode attached thereto; a control module in electrical communication with the at least one nanostructured, textile-integrated sensor; and a remote computing system in communication with the control module.

Description

BACKGROUND

The present invention relates to a physiological monitoring garment.

Heart related ailments like coronary heart diseases, cardiovascular diseases, and strokes that are caused by clots or hypertension are the predominant causes of mortality in the US among both men and women. However, the number of deaths due to cardiac ailments in women has been consistently higher than in men since as early as 1985. In 2006, mortality due to all cardiac ailments among women was nearly 60% more than that due to all forms of cancer combined. This difference is also imminent in the case of post operative survival among women after major cardiac surgeries like coronary bypass. At age 40 and older, 23 percent of women compared with 18 percent of men die within one year after a heart attack. This statistic has been related to the post-menopausal hormonal changes like the levels of estrogen in the blood. Estrogen has been known to have a prophylactic effect on the formation and growth of arterial plaques and clots, which can stifle the flow of blood through major blood vessels or stop it altogether. However, administration of Estrogen and Progestin has been shown to have minimal effect on the outcome of cardiovascular diseases in post-menopausal women.

Chronic diseases such as asymptomatic myocardial ischemia, a decrease in blood supply to the heart, appear as episodic events that do not leave any diagnostic evidence behind, making them all the more difficult to identify. Detection of Cardiac arrhythmias or irregular beats from continuous electroencephalogram (ECG) recordings is an important metric that physicians use to adjust medication for post myocardial infarction patients.

The major risk factors that have been reported to affect the cardiac health of women are smoking, inactivity, obesity, diabetes mellitus and hormonal changes resulting from menopause. Subtle changes in the cardiac activity manifested as irregular heartbeats, aberrational variations in the body's autonomous regulation of blood pressure and minor transient blockages in flow of blood to the heart, due to such chronic conditions or risk factors lead to fatal cardiac episodes. Thus, the best recourse is to engage in preventive measures involving continuous real-time monitoring to better track these physiological changes. Moreover, techniques like Electrocardiograph (ECG), blood pressure, heart rate variability analysis through time, frequency and wavelet domain analysis techniques have been successful in tracking the above-mentioned subtle changes.

SUMMARY

To that end, the sensors required to pick up the necessary biological signals and constantly relay the signals need to be seamlessly integrated into everyday clothing such that no additional preparation or mounting of individual sensors is needed. The innovative ‘e-bra’ described here is a foundation garment or a brassiere, designed with a multitude of sensor capabilities for cardiac and pulmonary health monitoring which are integrated into a fabric with improved performance. The end result is an autonomous garment that can collect and transmit vital health signals of the wearer.

The e-bra will also help non-critical users (i.e. those not acutely suffering from a condition such as heart or pulmonary diseases) for monitoring important metrics such as calories burned during a workout, to get an optimum workout by jogging or on a treadmill, and pacing their exercise. For instance, the wearer's heart rate should be at the proper intensity level for an extended period of time. If the heart rate gets too high, the wearer's activity can become counterproductive. If it is too low, the wearer is not getting optimal health benefits. This technology will thus monitor and provide the optimum workout needed for a given individual.

The e-bra system described here is a comfortable and wearable monitor for cardiovascular and pulmonary health for women. It has a basic structure of a foundation garment for woman's bosom that covers all or part of chest, shoulders, arms and upper back. Sensor components include biopotential electrodes like electrocardiogram (ECG) electrodes which are mounted on the garment, photoplethysmography channels which are worn as an arm band, piezoelectric acoustic sensors, temperature sensors, and piezoresistive respiration effort sensors.

This technology also provides additional benefits even if one is not a cardiovascular or pulmonary patient. For example, individuals could use the devices to report beneficial activities (exercising, taking medications, sleeping) and receive incentives from partners (doctors, insurance companies, social networks) with whom they share that information.

Thus, in one embodiment the invention provides a wearable remote electrophysiological monitoring system. The system includes a garment having at least one nanostructured, textile-integrated electrode attached thereto; a control module in electrical communication with the at least one nanostructured, textile-integrated sensor; and a remote computing system in communication with the control module.

BRIEF DESCRIPTION OF THE DRAWINGS

Embodiments of the invention can become more fully understood from the detailed description given herein below and the accompanying drawings, given by way of illustration only and thus not intended to be limitative of the present invention.

FIG. 1( a ) shows lead placement for a twelve-lead ECG with derived limb leads.

FIG. 1( b ) illustrates the placement of electrodes on the frontal side of the garment in which the electrodes have been placed according to the medical specifications for the limb leads, precordial leads, chest lead, and ground lead.

FIG. 1( c ) illustrates the mounting of an electrode on elastic backing using stitching.

FIG. 2 illustrates the back electrode site and the elastic backings provided in the brassiere platform where the elastic backings facilitate the ECG electrodes maintaining contact with the skin.

FIG. 3 shows the position for the acoustic sensor(s), respiration effort sensor and temperature sensor(s).

FIG. 4 shows the back side of a complete brassiere system, with an extended left arm sleeve that can be detached, with the inset showing a photoplethysmography module.

FIG. 5( a ) shows a scanning electron image of gold nanowires such as those used in embodiments of the nanostructure-based electrodes.

FIG. 5( b ) shows gold nanostructure-containing electrodes mounted on a standard snap-on button.

FIG. 5( c ) shows conductive fabric incorporating a textile electrode which includes nanostructures.

FIG. 6 shows a block diagram of an embodiment of the system.

FIG. 7 shows nanostructures projecting from a fiber.

FIG. 8 shows statistics on cardiac related mortalities in females as compared to females in the United States: 1976-2006.

FIG. 9( a ) shows placement of electrodes for ECG lead 2 .

FIG. 9( b ) shows an ECG waveform with characteristic P wave, QRS complex, and T and U waves.

FIG. 10 shows an e-bra worn by a test subject, the control module, and the smartphone display interface.

FIG. 11( a ) shows the electrode positions on the e-bra.

FIG. 11( b ) shows data acquired from subject 1 .

FIG. 11( c ) shows data acquired from subject 2 .

FIG. 12 shows R-R interval determination from an ECG.

FIG. 13( a ) shows a plot of the RR interval series against beat number.

FIG. 13( b ) shows a plot of the AR PSD computed from the RRI series for the standing case.

FIG. 14( a ) shows a plot of the RR interval series against beat number.

FIG. 14( b ) shows a plot of the AR PSD computed from the RRI series for the standing case.

FIG. 15 shows the sequence of processes and steps followed by the cloud server when an emergency abnormal condition reflected by abnormal health data is detected.

FIG. 16 shows the sequence of processes and steps followed on the mobile device in response to an emergency message sent by the cloud server.

DETAILED DESCRIPTION

Before any embodiments of the invention are explained in detail, it is to be understood that the invention is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the following drawings. The invention is capable of other embodiments and of being practiced or of being carried out in various ways.

In various embodiments, the invention includes a wearable remote electrophysiological monitoring system 20 ( FIG. 6 ). The system 100 may include a garment 200 having at least one nanostructured, textile-integrated electrode 205 attached thereto, a control module 300 in electrical communication with the at least one nanostructured, textile-integrated electrode 205 , and a remote computing system 400 in communication with the control module 300 ( FIG. 6 ). The system may also include a plurality of physiological sensors such as a photoplethysmography sensor 210 , an acoustic sensor 215 , a temperature sensor 220 , and a strain sensor 225 ( FIG. 6 ). The acoustic sensor 215 may be attached to the garment 200 to collect acoustic signals from a heart of a wearer of the garment 200 . The temperature sensor 220 may include a resistive temperature detector, a thermistor, and an infrared photodiode detector. The strain sensor 225 may include a piezoresistive respiration effort sensor to monitor breathing of a wearer of the garment 200 . The various physiological sensors may be electrically connected to the control module 300 by silver-coated thread. Each group of electrodes or sensors may have an amplifier module associated therewith, for example attached to the garment 200 in the vicinity of the electrodes or sensors or incorporated into the control module 300 .

The remote computing system 400 may communicate with the control module 300 using radio-frequency communications, for example using short-range communications such as Bluetooth; a local area network (e.g. wi-fi); satellite; or cellular communications technology. The remote computing system 400 may also communicate with the control module</figure-cal

BACKGROUND

The present invention relates to a physiological monitoring garment.

Heart related ailments like coronary heart diseases, cardiovascular diseases, and strokes that are caused by clots or hypertension are the predominant causes of mortality in the US among both men and women. However, the number of deaths due to cardiac ailments in women has been consistently higher than in men since as early as 1985. In 2006, mortality due to all cardiac ailments among women was nearly 60% more than that due to all forms of cancer combined. This difference is also imminent in the case of post operative survival among women after major cardiac surgeries like coronary bypass. At age 40 and older, 23 percent of women compared with 18 percent of men die within one year after a heart attack. This statistic has been related to the post-menopausal hormonal changes like the levels of estrogen in the blood. Estrogen has been known to have a prophylactic effect on the formation and growth of arterial plaques and clots, which can stifle the flow of blood through major blood vessels or stop it altogether. However, administration of Estrogen and Progestin has been shown to have minimal effect on the outcome of cardiovascular diseases in post-menopausal women.

Chronic diseases such as asymptomatic myocardial ischemia, a decrease in blood supply to the heart, appear as episodic events that do not leave any diagnostic evidence behind, making them all the more difficult to identify. Detection of Cardiac arrhythmias or irregular beats from continuous electroencephalogram (ECG) recordings is an important metric that physicians use to adjust medication for post myocardial infarction patients.

The major risk factors that have been reported to affect the cardiac health of women are smoking, inactivity, obesity, diabetes mellitus and hormonal changes resulting from menopause. Subtle changes in the cardiac activity manifested as irregular heartbeats, aberrational variations in the body&#39;s autonomous regulation of blood pressure and minor transient blockages in flow of blood to the heart, due to such chronic conditions or risk factors lead to fatal cardiac episodes. Thus, the best recourse is to engage in preventive measures involving continuous real-time monitoring to better track these physiological changes. Moreover, techniques like Electrocardiograph (ECG), blood pressure, heart rate variability analysis through time, frequency and wavelet domain analysis techniques have been successful in tracking the above-mentioned subtle changes.

SUMMARY

To that end, the sensors required to pick up the necessary biological signals and constantly relay the signals need to be seamlessly integrated into everyday clothing such that no additional preparation or mounting of individual sensors is needed. The innovative ‘e-bra’ described here is a foundation garment or a brassiere, designed with a multitude of sensor capabilities for cardiac and pulmonary health monitoring which are integrated into a fabric with improved performance. The end result is an autonomous garment that can collect and transmit vital health signals of the wearer.

The e-bra will also help non-critical users (i.e. those not acutely suffering from a condition such as heart or pulmonary diseases) for monitoring important metrics such as calories burned during a workout, to get an optimum workout by jogging or on a treadmill, and pacing their exercise. For instance, the wearer&#39;s heart rate should be at the proper intensity level for an extended period of time. If the heart rate gets too high, the wearer&#39;s activity can become counterproductive. If it is too low, the wearer is not getting optimal health benefits. This technology will thus monitor and provide the optimum workout needed for a given individual.

The e-bra system described here is a comfortable and wearable monitor for cardiovascular and pulmonary health for women. It has a basic structure of a foundation garment for woman&#39;s bosom that covers all or part of chest, shoulders, arms and upper back. Sensor components include biopotential electrodes like electrocardiogram (ECG) electrodes which are mounted on the garment, photoplethysmography channels which are worn as an arm band, piezoelectric acoustic sensors, temperature sensors, and piezoresistive respiration effort sensors.

This technology also provides additional benefits even if one is not a cardiovascular or pulmonary patient. For example, individuals could use the devices to report beneficial activities (exercising, taking medications, sleeping) and receive incentives from partners (doctors, insurance companies, social networks) with whom they share that information.

Thus, in one embodiment the invention provides a wearable remote electrophysiological monitoring system. The system includes a garment having at least one nanostructured, textile-integrated electrode attached thereto; a control module in electrical communication with the at least one nanostructured, textile-integrated sensor; and a remote computing system in communication with the control module.

BRIEF DESCRIPTION OF THE DRAWINGS

Embodiments of the invention can become more fully understood from the detailed description given herein below and the accompanying drawings, given by way of illustration only and thus not intended to be limitative of the present invention.

FIG. 1( a ) shows lead placement for a twelve-lead ECG with derived limb leads.

FIG. 1( b ) illustrates the placement of electrodes on the frontal side of the garment in which the electrodes have been placed according to the medical specifications for the limb leads, precordial leads, chest lead, and ground lead.

FIG. 1( c ) illustrates the mounting of an electrode on elastic backing using stitching.

FIG. 2 illustrates the back electrode site and the elastic backings provided in the brassiere platform where the elastic backings facilitate the ECG electrodes maintaining contact with the skin.

FIG. 3 shows the position for the acoustic sensor(s), respiration effort sensor and temperature sensor(s).

FIG. 4 shows the back side of a complete brassiere system, with an extended left arm sleeve that can be detached, with the inset showing a photoplethysmography module.

FIG. 5( a ) shows a scanning electron image of gold nanowires such as those used in embodiments of the nanostructure-based electrodes.

FIG. 5( b ) shows gold nanostructure-containing electrodes mounted on a standard snap-on button.

FIG. 5( c ) shows conductive fabric incorporating a textile electrode which includes nanostructures.

FIG. 6 shows a block diagram of an embodiment of the system.

FIG. 7 shows nanostructures projecting from a fiber.

FIG. 8 shows statistics on cardiac related mortalities in females as compared to females in the United States: 1976-2006.

FIG. 9( a ) shows placement of electrodes for ECG lead 2 .

FIG. 9( b ) shows an ECG waveform with characteristic P wave, QRS complex, and T and U waves.

FIG. 10 shows an e-bra worn by a test subject, the control module, and the smartphone display interface.

FIG. 11( a ) shows the electrode positions on the e-bra.

FIG. 11( b ) shows data acquired from subject 1 .

FIG. 11( c ) shows data acquired from subject 2 .

FIG. 12 shows R-R interval determination from an ECG.

FIG. 13( a ) shows a plot of the RR interval series against beat number.

FIG. 13( b ) shows a plot of the AR PSD computed from the RRI series for the standing case.

FIG. 14( a ) shows a plot of the RR interval series against beat number.

FIG. 14( b ) shows a plot of the AR PSD computed from the RRI series for the standing case.

FIG. 15 shows the sequence of processes and steps followed by the cloud server when an emergency abnormal condition reflected by abnormal health data is detected.

FIG. 16 shows the sequence of processes and steps followed on the mobile device in response to an emergency message sent by the cloud server.

DETAILED DESCRIPTION

Before any embodiments of the invention are explained in detail, it is to be understood that the invention is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the following drawings. The invention is capable of other embodiments and of being practiced or of being carried out in various ways.

In various embodiments, the invention includes a wearable remote electrophysiological monitoring system 20 ( FIG. 6 ). The system 100 may include a garment 200 having at least one nanostructured, textile-integrated electrode 205 attached thereto, a control module 300 in electrical communication with the at least one nanostructured, textile-integrated electrode 205 , and a remote computing system 400 in communication with the control module 300 ( FIG. 6 ). The system may also include a plurality of physiological sensors such as a photoplethysmography sensor 210 , an acoustic sensor 215 , a temperature sensor 220 , and a strain sensor 225 ( FIG. 6 ). The acoustic sensor 215 may be attached to the garment 200 to collect acoustic signals from a heart of a wearer of the garment 200 . The temperature sensor 220 may include a resistive temperature detector, a thermistor, and an infrared photodiode detector. The strain sensor 225 may include a piezoresistive respiration effort sensor to monitor breathing of a wearer of the garment 200 . The various physiological sensors may be electrically connected to the control module 300 by silver-coated thread. Each group of electrodes or sensors may have an amplifier module associated therewith, for example attached to the garment 200 in the vicinity of the electrodes or sensors or incorporated into the control module 300 .

The remote computing system 400 may communicate with the control module 300 using radio-frequency communications, for example using short-range communications such as Bluetooth; a local area network (e.g. wi-fi); satellite; or cellular communications technology. The remote computing system 400 may also communicate with the control module 300 using other forms of communications such as infrared light or microwaves. In some embodiments, the remote computing system 400 may communicate with the control module 300 using a wire-based connection or a combination of wired and wireless modalities.

The nanostructured, textile-integrated electrodes 205 may be made of a hierarchically-organized nanostructure sheet with vertically standing nanowires/filaments. The electrodes 205 are generally incorporated in the fabric of the garment 200 with an elastic backing for concomitant contact with the skin.

The nanostructured, textile-integrated electrodes 205 include nanostructures 207 attached to and projecting from electrically- conductive fibers 209 that may be incorporated into a portion of fabric. The nanostructures 207 may project from the fiber 209 to varying lengths ranging from 0.01-10 micrometers, and in one embodiment project from the fiber 209 less than one micrometer. The portion of fabric may then be attached to or otherwise incorporated into the garment 200 and placed into electrical communication with the control module 300 .

The nanostructures 207 projecting from the fiber 209 may have different shapes and form factors and may include one- dimensional nanostructures 207 a, two-dimensional nanostructures 207 b, and/or three-dimensional nanostructures 207 c ( FIG. 7 ). The one- dimensional structures 207 a may include approximately linear structures such as wires or tubes. The two-dimensional structures 207 b may include shapes such as bumps or bubbles. The three-dimensional structures 207 c may include shapes such as helices. The helices are particularly suitable as they have a large surface area available for making contact with a wearer&#39;s skin. In some embodiments in which helical structures are employed, a particular handedness of the helices (e.g. left-handed or right-handed) may produce better results such as improved conductivity. The fiber 209 from which the nanostructures 207 project is typically electrically conductive, which may be achieved by using a fiber 209 that is coated with an electrically conductive material (e.g. silver) or by using a fiber 209 that is blended or intertwined with an electrically conductive material (e.g. silver). The nanostructures 207 may be fabricated from a number of different materials such as gold, silver, steel, or textiles. In one embodiment, a piece of fabric having fibers with nanostructures thereon can have a density of between 10,000 and 100,000 nanostructures per square centimeter of fabric.

In various embodiments, the nanostructured, textile-integrated electrodes 205 are used as dry contact sensors, i.e. sensors that do not require a conductive gel or other substance to be used with the electrodes 205 to make electrical contact with the wearer&#39;s skin. The base substrate (e.g. fiber 209 ) is flexible and conductive and can be made of metal or metal-textile blend(s) or metal-polymer blend(s). Possible metals that may be used include gold, silver, titanium, platinum, and steel or a steel alloy, and possible textile fabrics that may be used include nylon, silk, Lycra, spandex, polyester, modified celluloses, and cotton.

In various embodiments, the garment 200 may be a brassiere (also referred to as the e-bra), a vest, a shirt, or other garment worn over the upper body. In general the garment 200 is form-fitting in order to ensure sufficient contact of the various sensors with the skin of the wearer. Generally, the garment 200 conforms to the wearer&#39;s body and complies with standard sizing/fitting schemes, including, in the case of an e-bra, standard cup size and strap lengths. Suitable materials for making the garment 200 include nylon, silk, Lycra, spandex, polyester, modified celluloses, cotton, and combinations of these and other materials, and in general the garment 200 is washable. As described herein, the garment 200 includes electrodes/sensors incorporated therein and in some embodiments the garment 200 may be supplemented by one or more armbands 200 a ( FIG. 6 ) or other wearable devices for collecting additional data. In various embodiments, the system 20 may be worn underneath the wearer&#39;s normal clothing for seamless deployment for monitoring the wearer&#39;s cardiovascular health or other health indicators.

In some embodiments, the system 20 includes a plurality of nanostructured, textile-integrated electrodes 205 arranged on the garment to collect an electrocardiogram (ECG) signal from a wearer of the garment 200 ( FIG. 1 ), where the electrodes 205 are located on the garment 200 so as to capture heart activity from different perspectives or positions. Since the electrodes 205 in certain embodiments are textile-based, they can be more readily integrated into the fabric of the garment 200 (e.g. an e-bra).

Although there can be variations in the arrangement of electrodes for measuring an electrocardiogram, the positions used in the embodiment depicted in FIGS. 1( a )- 1 ( c ) are medically classified as (but not limited to): limb leads: Right Arm, Left Arm, and Left Leg; precordial leads V 1 -V 6 ; chest lead C; ground G; and experimental lead E at the back (shown in FIG. 2) . In one embodiment, the electrodes 205 have conductive fiber-based connections, without using conventional wires, which enable the electrodes to send signals to an on board amplification and transmission system (e.g. which may be integrated into the control module 300 ).

Plethysmography measurements can be obtained from impedance measurements (as opposed to optical-based photoplethysmography measurements disclosed herein) in conjunction with ECG recording. This provides information regarding pulse transit time from ventricular discharge to the passage of the pulse at the brachial artery site, the brachial artery being located in the upper arm. The pulse transit time bears a correlation with the compliance of the brachial artery; therefore, it can be correlated to the blood pressure in the artery, thus accomplishing a unique non-invasive blood pressure measurement in real time on a continuous basis without the need for an inflatable cuff.

The system 20 may also include a plurality of photoplethysmography sensors 210 or channels, which may be integrated into the garment 200 or coupled to an armband 200 a to be worn by the user ( FIG. 6 ). In one embodiment, the photoplethysmography (PPG) channels use combinations of light emitting diodes (LED) 210 a and photo detectors (PD) 210 b ( FIG. 4 , inset) that are mounted on the garment 200 (particularly if the garment includes sleeves) and/or an armband 200 a, where the armband 200 a may be made of a material such as nylon, cotton, Lycra, spandex, neoprene, or other elastomeric fabric or film. The wavelengths of light that are used are generally biocompatible red and infrared. The origin of the observed PPG signals may be due to absorption of the light that is emitted by the LED 210 a or may be the reflection of light from the LED 210 a by blood.

As with impedance-based plethysmography measurements, photoplethysmography measurements can be used to detect pulse waves in the brachial artery. The LEDs 210 a may be arranged in a serial connection and the photo detectors 210 b arranged in a parallel connection. The LED-PD combinations include two LEDs 210 a flanking one PD 210 b ( FIG. 4 , inset) at separations that constitute a solid geometric angle for optimum detection of the reflected or transmitted light from the deep-seated brachial artery. The combination is designated as one channel that is mounted in the transverse sense to the left brachial artery axis (inwards of the left arm). More than one such channel is used to scan the brachial artery. Such a configuration gives a stronger signal, one that is more tolerant to variations in the placement position of the arm band 200 a or sleeve of the garment 200 . As discussed above, the use of an armband 200 a may be an addition to the system 20 for enhancing monitoring capabilities. In some embodiments in which the garment 200 includes sleeves, the photoplethysmography sensors 210 may be attached directly to the garment 200 , in particular to the sleeves.

In those embodiments employing acoustic sensors, the acoustic sensors 215 may be based on a hydrophone pad design. The acoustic sensors 215 may be mounted on the garment 200 (e.g. e-bra) in a position that is suitable for detecting sounds being produced by activity of the heart and/or breathing of the wearer. The signals, recorded through these acoustic sensor 215 systems, are important for diagnosing medical conditions like heart murmur, heart valve activity, respiratory blockages, and subsonic (less than 20 Hertz) and ultrasonic (greater than 20 kilohertz) vibrations of diagnostic value. Piezo-resistive textile-based or textile- integrable strain sensors 225 may be mounted on the garment for detection of thoracic distention towards monitoring the respiration effort and respiration cycle.

In some embodiments, one or more temperature sensors 220 may be mounted on the garment 200 . Temperature sensors 220 may be based on resistive temperature detectors, thermistors, or infrared photodiode detectors. As with other electrodes and sensors described herein, the temperature sensors 220 may have conductive fabric- or thread-based connections, i.e. without traditional wires, that enable them to send signals to an onboard amplification and transmission system (e.g. which may be integrated into the control module 300 ).

In various embodiments, the garment 200 is made of the same material as the textile base for the ECG electrodes. In those embodiments in which the garment 200 includes straps or other connectors, ECG or other electrodes 205 may be placed so as to coincide with the adjustable elastic backings of the straps or other connectors to serve dual purposes, while preserving the overall functionality of the garment 200 ( FIG. 2 ). The connections from the ECG electrodes ( FIG. 1( b )) and photoplethysmography device ( FIG. 4 , inset) are drawn out using fabric-based electrodes made with the same assortment of materials described above. In one embodiment, a garment 200 with a non-standard extended left arm sleeve is provided for accommodating the photoplethysmography band ( FIG. 4 , inset) and an amplifier-transmitter module with power source 211 . The conductive fabric or thread for the conductive fabric- or thread-based connections, which can be made with the same assortment of materials described above, can be stitched on the garment in the form of connective lines that relay the signal from sensors to an onboard amplification-transmission module on a flexible board (e.g. which may be integrated into the control module 300 ) for seamless integration into the garment 200 . The connection scheme can also be optical, which involves enmeshed optical fibers. The gauge of the connective lines is generally a function of the electrical and/or optical ratings of the sensor systems. In various embodiments, the control module 300 can use wireless communication with a remote computing system 400 for data logging and post processing. Given the importance of uninterrupted heart monitoring, the amplifier modules associated with the ECG electrodes of the garment 200 may be equipped to connect to a wired data-logging setup. For example, the amplification circuitry in the amplification modules may include ancillary access points for connecting the respective signal channels to a standard data-logging interface with provisions to one of either a display or a data transmission.

The control module 300 and the remote computing system 400 , among other components, are based on standard computer systems having a microprocessor, memory and data storage, input and output, and wired or wireless networking capabilities. The methods and systems described herein may be implemented using one or more such computer systems working in one or more locations to assemble and disseminate data.

The nanostructures 207 of the nanostructured, textile-integrated electrodes 205 (because of their relatively large surface area) are highly sensitive and accurate. Coupled with a low-power microcontroller and Bluetooth module (using one or more of Zigbee, WiFi, and/or other communication protocols as appropriate), the sensor data can be streamed to commercial off-the-shelf cell phones and handheld devices.

In various embodiments the system 20 may include a software application for operation on a smartphone 410 ( FIG. 6 ). The smartphone 410 , via the software application, can collect sensor data over Bluetooth or other communications channels and can relay data over 3G, Wi-Fi, WiMax or any outgoing connection using radio-based communications. Using the smartphone 410 and software application, the system 20 does not require any additional custom handheld device for relaying data.

In various embodiments, the software application can provide several additional functions besides basic functions such as data collection and transmission. One possible function is implementation of filtering algorithms on the smartphone 410 to mitigate issues due to motion and other artifacts, rendering cleaner data. In addition, the software application can provide a visualization interface on the smartphone 410 through which users can see salient features of their heart activity such as heart rate. An additional function is that the smartphone 410 software application can tag the data with the location of the wearer of the garment 200 . The location (e.g. latitude, longitude) collected is useful for both backend services as well as for the user himself/herself in case of a medical emergency.

In some embodiments, the software application on the smartphone 410 can run machine learning algorithms to perform preliminary anomaly detection. In case of an emergency, it can either alert the wearer and recommend him/her to hospital locations near his/her present location or make an automated call to the wearer&#39;s physician or emergency personnel with his/her present location. Thus caregivers can access into vital information anywhere and at any time within the healthcare networks for global level active monitoring. As an indication of the scalability of the system, a Zigbee-based WiFi system is capable of handling 65,000 patients at a given time.

In some embodiments the system 20 may include a Global Positioning System (GPS) module, for example as part of the control module 300 . Current location data from the GPS module included in the system 20 can be tagged (e.g. by the control module 300 or by the smartphone 410 software application) to the wearer&#39;s data and transferred to a remote (“cloud”) data cluster and in addition can be stored in a secure database (e.g. an SD card can be installed in the control module 300 to save the data). For physician diagnostics a new backend service may be provided in which the doctor can log into a secured database and visually review the past and current sensor data from the garment 200 system 20 (as necessary). If the physician desires, he/she can employ machine learning algorithms (e.g. embedded in the control module 300 , the smartphone 410 software application, and/or the remote computing system 400 ) to detect abnormalities in the data. Further, a VoIP service can be used to make phone calls or send SMS messages to physicians from the wearer. Additionally, the smartphone 410 or other mobile device can send relevant abnormal data in advance to emergency services in the event the wearer receives medical assistance. The smartphone 410 or other mobile device, if equipped with a camera, can prompt the wearer to start a video call. Processes and steps for emergency or other situations are described in FIGS. 6 and 7 .

There are a number of uses of the system 20 disclosed herein, including wireless real-time monitoring of heart rate variability (HRV) and/or ECG and detection of asymptomatic myocardial ischemia in diabetic patients. Real-time monitoring using the system 20 also improves quality of life for patients with medical conditions that can elevate chances of asymptomatic (silent) ischemia attack.

Other uses of the system 20 include monitoring the health of the myocardium after administering ischemia-preventive drugs or reperfusion and disease management for patients with chronic coronary heart disease. The sensors, with wireless signal transmission, present a tool that provides real-time ischemia monitoring for patients while maintaining mobility of the patients.

Software (e.g. the smartphone 410 software application) will give the wearer data such as calories burned during workout, exercise, walking, jogging, and other activities. As noted above, monitoring of data from the garment 200 using a smartphone 410 also permits the use of GPS tracking to identify the user&#39;s location. The light weight, comfort, and wireless communications capabilities of the system 20 also allow it to be used for monitoring patients with sleep disorders and for continuous monitoring of stroke patients, ECGs, blood pressure, and any vital parameter of the heart functions in Intensive Care Unit (ICU) in the hospital.

EXAMPLE

The following non-limiting Example discloses a particular embodiment of the wearable remote electrophysiological monitoring system 20 .

Initial manifestation of most cardiovascular diseases (CVDs) is usually chest pain or angina. Diagnostic tests are then carried out to decide upon a disease management if not a treatment strategy. At this stage the risk factor for women has been shown to be statistically higher than in men. At age 40 and older, 23% of women compared with 18% of men die within one year after a heart attack. Cardiac related mortalities in women have surpassed mortalities due to all cancers by over 60%. As shown by the plot in FIG. 8 , CVD related mortality has been consistently higher in women than in men since 1985.

This difference is also imminent in the case of postoperative survival in women after cardiac surgeries. The reasons cited for such a discrepancy range from increased complexity of cardiothoracic surgeries due to the average small frame and consequently small blood vessel size in women, to the lack of a clear understanding of the influence of menopause related hormonal changes on the autonomic nervous control of cardiac activity and vasovagal balance. The female sex hormone, estrogen, has been known to have a prophylactic effect on the formation and growth of arterial plaques and clots that can stifle the flow of blood through major blood vessels or stop it altogether. This observation has been corroborated by studies on heart rate variability (HRV) indicating the increased involvement of vasovagal balance in young women. However, the administration of estrogen or progestin has been shown to have minimal effect on the outcome of cardiovascular diseases in postmenopausal women. These conflicting findings suggest that the best recourse will be to engage in prognostic measures involving continuous real time monitoring to better track and identify any pathophysiological changes.

Chronic diseases cause subtle changes in the cardiac activity, manifested as irregular heartbeats, aberrational variations in the body&#39;s autonomous regulation of blood pressure, and minor transient blockages in flow of blood to the heart referred as ischemic attacks. Chronic diseases such as asymptomatic myocardial ischemia, a decrease in blood supply to the heart, manifest as episodic events that do not leave any diagnostic evidence behind beyond 2-3 min after an episode, making them all the more difficult to identify. These attacks can be detected through variations in the ECG waveform characteristics like the ST segment amplitude and width. Women diagnosed with ischemic heart diseases have a higher frequency of symptomatic episodes as compared with men, which results in more hospitalization and associated costs. Moreover, the variation of T wave amplitude and duration, referred to as T wave alternans has been shown to be a predictor of sudden cardiac arrest (SCA) due to ventricular arrhythmias, which is a disease that claims nearly 400,000 individuals every year in the United States. Detection of cardiac arrhythmias or irregular beats from continuous ECG recordings is also an important metric that physicians use for risk stratification and to adjust medication for postmyocardial infarction patients.

Techniques like HRV analysis through time, frequency, and wavelet domain analysis techniques have been successful in tracking autonomic nervous-cardiovascular regulation, which is indicative of chronic diseases as mentioned previously. Thus, various parameters derivable from ECG are of significant prognostic value with regard to CVDs. Sensors that can comprehensively track cardiovascular and pulmonary activity are needed to be able to detect and quantify the electrophysiology of the heart (through ECG), the heart sounds associated with the opening and closing of valves murmur sounds that occur due to inefficient heart valve activity and the activity of the lungs in terms of both the respiratory effort and sounds associated with any blockages or fluid accumulations in the lungs. The full potential of these prognostic tools can be realized only if these sensors can be used. To that end, this paper describes the e-bra, which is used as a platform on which the various sensors for cardiac health monitoring are integrated into the fabric. The end result is an autonomous garment that can collect and transmit vital

CLAIMS

Claims ( 22 )

What is claimed is:

1 . A wearable remote electrophysiological monitoring system, comprising:

a garment having at least one nanostructured, textile-integrated electrode attached thereto; a control module in electrical communication with the at least one nanostructured, textile-integrated sensor; and a remote computing system in communication with the control module.

2 . The wearable remote electrophysiological monitoring system of claim 1 , further comprising a plurality of physiological sensors selected from the group consisting of a photoplethysmography sensor, an acoustic sensor, a temperature sensor, and a strain sensor.

3 . The wearable remote electrophysiological monitoring system of claim 2 , further comprising a plurality of nanostructured, textile-integrated electrodes arranged on the garment to collect an electrocardiogram signal from a wearer of the garment.

4 . The wearable remote electrophysiological monitoring system of claim 2 , wherein the acoustic sensor is attached to the garment to collect acoustic signals from a heart of a wearer of the garment.

5 . The wearable remote electrophysiological monitoring system of claim 2 , wherein the temperature sensor comprises a resistive temperature detector, a thermistor, and an infrared photodiode detector.

6 . The wearable remote electrophysiological monitoring system of claim 2 , wherein the strain sensor comprises a piezoresistive respiration effort sensor to monitor breathing of a wearer of the garment.

7 . The wearable remote electrophysiological monitoring system of claim 2 , further comprising a plurality of photoplethysmography sensors coupled to the garment or an armband.

8 . The wearable remote electrophysiological monitoring system of claim 2 , wherein the physiological sensors are electrically connected to the control module by silver-coated thread.

9 . The wearable remote electrophysiological monitoring system of claim 1 , wherein the remote computing system communicates with the control module using radio-frequency communications.

10 . The wearable remote electrophysiological monitoring system of claim 1 , wherein the at least one nanostructured, textile-integrated electrode comprises a dry contact sensor.

11 . The wearable remote electrophysiological monitoring system of claim 1 , wherein the at least one nanostructured, textile-integrated electrode comprises a fiber having a plurality of nanostructures projecting therefrom.

12 . The wearable remote electrophysiological monitoring system of claim 11 , wherein the nanostructures project from the fiber less than one micrometer.

13 . The wearable remote electrophysiological monitoring system of claim 11 , wherein the plurality of nanostructures comprises at least one of a one-dimensional nanostructure, a two-dimensional nanostructure, and a three-dimensional nanostructure.

14 . The wearable remote electrophysiological monitoring system of claim 13 , wherein the one-dimensional structure comprises a wire or a tube.

15 . The wearable remote electrophysiological monitoring system of claim 13 , wherein the two-dimensional structure comprises a bump.

16 . The wearable remote electrophysiological monitoring system of claim 13 , wherein the three-dimensional structure comprises a helical structure.

17 . The wearable remote electrophysiological monitoring system of claim 16 , wherein the helical structure is a right-handed helical structure.

18 . The wearable remote electrophysiological monitoring system of claim 11 , wherein the fiber is electrically conductive.

19 . The wearable remote electrophysiological monitoring system of claim 11 , wherein the fiber comprises a textile coated with an electrically conductive material.

20 . The wearable remote electrophysiological monitoring system of claim 19 , wherein the electrically conductive material is silver.

21 . The wearable remote electrophysiological monitoring system of claim 11 , wherein the fiber comprises a textile intertwined with an electrically conductive material.

22 . The wearable remote electrophysiological monitoring system of claim 11 , wherein the nanostructures comprise at least one of gold, silver, steel, or textile.

US13/449,755

2011-03-08

2012-04-18

Wearable remote electrophysiological monitoring system

Abandoned

US20130281795A1

( en )

Priority Applications (5)

Application Number

Priority Date

Filing Date

Title

US13/449,755

US20130281795A1

( en )

2012-04-18

2012-04-18

Wearable remote electrophysiological monitoring system

US13/829,898

US20130281815A1

( en )

2012-04-18

2013-03-14

Wearable remote electrophysiological monitoring system

US14/965,213

US20160183835A1

( en )

2012-04-18

2015-12-10

Wearable remote electrophysiological monitoring system

US15/668,036

US10932720B2

( en )

2011-03-08

2017-08-03

Smart materials, dry textile sensors, and electronics integration in clothing, bed sheets, and pillow cases for neurological, cardiac and/or pulmonary monitoring

US16/914,312

US11399769B2

( en )

2011-03-08

2020-06-27

Smart materials, dry textile sensors, and electronics integration in clothing, bed sheets, and pillow cases for neurological, cardiac and/or pulmonary monitoring

Applications Claiming Priority (1)

Application Number

Priority Date

Filing Date

Title

US13/449,755

US20130281795A1

( en )

2012-04-18

2012-04-18

Wearable remote electrophysiological monitoring system

Related Parent Applications (1)

Application Number

Title

Priority Date

Filing Date

US13/657,854

Continuation-In-Part

US20130211208A1

( en )

2011-03-08

2012-10-22

Smart materials, dry textile sensors, and electronics integration in clothing, bed sheets, and pillow cases for neurological, cardiac and/or pulmonary monitoring

Related Child Applications (2)

Application Number

Title

Priority Date

Filing Date

US13/829,898

Continuation-In-Part

US20130281815A1

( en )

2011-03-08

2013-03-14

Wearable remote electrophysiological monitoring system

US14/965,213

Continuation

US20160183835A1

( en )

2012-04-18

2015-12-10

Wearable remote electrophysiological monitoring system

Publications (1)

Publication Number

Publication Date

US20130281795A1

true

US20130281795A1 ( en )

2013-10-24

Family

ID=49380740

Family Applications (2)

Application Number

Title

Priority Date

Filing Date

US13/449,755

Abandoned

US20130281795A1

( en )

2011-03-08

2012-04-18

Wearable remote electrophysiological monitoring system

US14/965,213

Abandoned

US20160183835A1

( en )

2012-04-18

2015-12-10

Wearable remote electrophysiological monitoring system

Family Applications After (1)

Application Number

Title

Priority Date

Filing Date

US14/965,213

Abandoned

US20160183835A1

( en )

2012-04-18

2015-12-10

Wearable remote electrophysiological monitoring system

Country Status (1)

Country

Link

US

( 2 )

US20130281795A1

( en )

Cited By (58)

* Cited by examiner, † Cited by third party

Publication number

Priority date

Publication date

Assignee

Title

US20110015498A1

( en )

*

2007-08-22

2011-01-20

Commonwealth Scientific And Industrial Research Or

System, garment and method

US8925392B2

( en )

2012-01-30

2015-01-06

Sensoria Inc.

Sensors, interfaces and sensor systems for data collection and integrated remote monitoring of conditions at or near body surfaces

WO2015087330A1

( en )

*

2013-12-11

2015-06-18

Amir Schechter

Controllable water floatation garment

CN104856645A

( en )

*

2014-02-26

2015-08-26

山东交通学院

Real-time detection device and method for human body sign data

WO2015153569A1

( en )

*

2014-03-31

2015-10-08

The Regents Of The University Of Michigan

Miniature piezoelectric cardiovascular monitoring system

US20150335078A1

( en )

*

2014-05-26

2015-11-26

Regina Miracle International (Group) Limited

Bra and bra components

US20160058079A1

( en )

*

2014-09-03

2016-03-03

Lori SEXTON

Garment with electromagnetic radiation shielded pocket

US9282893B2

( en )

2012-09-11

2016-03-15

L.I.F.E. Corporation S.A.

Wearable communication platform

WO2016063082A1

( en )

2014-10-24

2016-04-28

Cambridge temperature concepts ltd

A wearable sensing assembly

US9494567B2

( en )

2012-12-31

2016-11-15

Omni Medsci, Inc.

Near-infrared lasers for non-invasive monitoring of glucose, ketones, HBA1C, and other blood constituents

CN106108882A

( en )

*

2016-09-07

2016-11-16

深圳前海慧练天下网络科技有限公司

A kind of heart rate variability monitoring underwear and system

US20170111725A1

( en )

*

2015-10-20

2017-04-20

Bragi GmbH

Enhanced Biometric Control Systems for Detection of Emergency Events System and Method

US20170281074A1

( en )

*

2014-09-04

2017-10-05

Active4D, Inc.

Shoulder Monitoring and Treatment System

US9782096B2

( en )

2011-01-31

2017-10-10

Clothing Plus Mbu Oy

Textile substrate for measuring physical quantity

US9817440B2

( en )

2012-09-11

2017-11-14

L.I.F.E. Corporation S.A.

Garments having stretchable and conductive ink

US20170347899A1

( en )

*

2016-06-03

2017-12-07

FOURTH FRONTIER TECHNOLOGIES, Pvt. Ltd.

Method and system for continuous monitoring of cardiovascular health

US9895105B2

( en )

*

2011-06-20

2018-02-20

Healthwatch Ltd.

Independent non-interfering wearable health monitoring and alert system

WO2018047814A1

( en )

*

2016-09-07

2018-03-15

東レ株式会社

Biosignal detection garment

US20180092554A1

( en )

*

2016-09-30

2018-04-05

The Chinese University Of Hong Kong

Wearable and unobtrusive multi-sensor array and method for pulse wave velocity imaging

US9986771B2

( en )

2012-09-11

2018-06-05

L.I.F.E. Corporation S.A.

Garments having stretchable and conductive ink

US10131993B2

( en )

2015-01-16

2018-11-20

Nanowear, Inc.

Large scale manufacturing of hybrid nanostructured textile sensors

US10136819B2

( en )

2012-12-31

2018-11-27

Omni Medsci, Inc.

Short-wave infrared super-continuum lasers and similar light sources for imaging applications

US10154791B2

( en )

2016-07-01

2018-12-18

L.I.F.E. Corporation S.A.

Biometric identification by garments having a plurality of sensors

US10159440B2

( en )

2014-03-10

2018-12-25

L.I.F.E. Corporation S.A.

Physiological monitoring garments

US10201310B2

( en )

2012-09-11

2019-02-12

L.I.F.E. Corporation S.A.

Calibration packaging apparatuses for physiological monitoring garments

WO2019046276A1

( en )

*

2017-08-29

2019-03-07

The Charles Stark Draper Laboratory, Inc.

Distributed analytics system for identification of diseases and injuries

US10231623B2

( en )

2016-02-04

2019-03-19

Nanowear Inc.

Roll-to-roll printing process for manufacturing a wireless nanosensor

US10335045B2

( en )

2016-06-24

2019-07-02

Universita Degli Studi Di Trento

Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions

US10366798B2

( en )

2014-09-03

2019-07-30

Lori SEXTON

Garment with electromagnetic radiation shielded pocket

US10368765B2

( en )

2016-02-02

2019-08-06

Anhui Huami Information Technology Co., Ltd.

Wearable apparatus for ECG signal acquisition

US20190294484A1

( en )

*

2018-03-21

2019-09-26

International Business Machines Corporation

Root cause analysis for correlated development and operations data

US10441180B2

( en )

2016-08-10

2019-10-15

Huami Inc.

Episodical and continuous ECG monitoring

US10462898B2

( en )

2012-09-11

2019-10-29

L.I.F.E. Corporation S.A.

Physiological monitoring garments

US10467744B2

( en )

2014-01-06

2019-11-05

L.I.F.E. Corporation S.A.

Systems and methods to automatically determine garment fit

US10653190B2

( en )

2012-09-11

2020-05-19

L.I.F.E. Corporation S.A.

Flexible fabric ribbon connectors for garments with sensors and electronics

US10660526B2

( en )

2012-12-31

2020-05-26

Omni Medsci, Inc.

Near-infrared time-of-flight imaging using laser diodes with Bragg reflectors

US10677774B2

( en )

2012-12-31

2020-06-09

Omni Medsci, Inc.

Near-infrared time-of-flight cameras and imaging

US10835201B2

( en )

2017-10-31

2020-11-17

Edwards Lifesciences Corporation

Non-invasive wearable heart valve monitor

US10874304B2

( en )

2012-12-31

2020-12-29

Omni Medsci, Inc.

Semiconductor source based near infrared measurement device with improved signal-to-noise ratio

US10932720B2

( en )

2011-03-08

2021-03-02

Nanowear Inc.

Smart materials, dry textile sensors, and electronics integration in clothing, bed sheets, and pillow cases for neurological, cardiac and/or pulmonary monitoring

US10959634B2

( en )

2017-05-02

2021-03-30

Nanowear Inc.

Wearable congestive heart failure management system

US11111593B2

( en )

2015-01-16

2021-09-07

Nanowear Inc.

Large scale manufacturing of hybrid nanostructured textile sensors

WO2021179040A1

( en )

*

2020-03-10

2021-09-16

Vascutech Pty Ltd

Cardiovascular health management system

US20210315465A1

( en )

*

2018-09-06

2021-10-14

Vanderbilt University

Non-Invasive Venous Waveform Analysis for Evaluating a Subject

US11246213B2

( en )

2012-09-11

2022-02-08

L.I.F.E. Corporation S.A.

Physiological monitoring garments

US11259580B2

( en )

2018-07-23

2022-03-01

Cornerstone Research Group, Inc.

Health monitoring garment and system

US11291409B2

( en )

2014-12-03

2022-04-05

Clothing Plus Mbu Oy

Device for determining effects of aging of a wearable device

US11333562B1

( en )

2017-10-25

2022-05-17

Alarm.Com Incorporated

Dynamic set point temperature adjustment techniques

US11540762B2

( en )

2014-10-30

2023-01-03

West Affum Holdings Dac

Wearable cardioverter defibrtillator with improved ECG electrodes

US11567028B2

( en )

*

2015-11-29

2023-01-31

Ramot At Tel-Aviv University Ltd.

Sensing electrode and method of fabricating the same

US11745006B2

( en )

2014-10-30

2023-09-05

West Affum Holdings Dac

Wearable cardiac defibrillation system with electrode assemblies having pillow structure

US12268475B2

( en )

2012-12-31

2025-04-08

Omni Medsci, Inc.

Wearable device for differential measurement on pulse rate and blood flow

US12329217B2

( en )

2017-06-20

2025-06-17

Innovation Ventures IP at UKHS, LLC.

Stress test garment and method of use

US12376791B2

( en )

2021-01-20

2025-08-05

Honda Motor Co., Ltd

Electronic textiles

US12484787B2

( en )

2012-12-31

2025-12-02

Omni Medsci, Inc.

Measurements using camera imaging tissue comprising skin or the hand

US12487902B2

( en )

2016-01-08

2025-12-02

Zoll Medical Corporation

Patient assurance system and method

US12502080B2

( en )

2012-12-31

2025-12-23

Omni Medsci, Inc.

Camera based wearable devices with artificial intelligence assistants

US12629077B2

( en )

2022-11-18

2026-05-19

West Affum Holdings Dac

Wearable cardioverter defibrillator with improved ECG electrodes

Families Citing this family (8)

* Cited by examiner, † Cited by third party

Publication number

Priority date

Publication date

Assignee

Title

US10037672B1

( en )

2017-03-29

2018-07-31

International Business Machines Corporation

Smart garments that identify user changes

KR102070188B1

( en )

*

2017-12-07

2020-01-28

울산과학기술원

Bio-signal sensing electrode, bio-signal sensing system including the same

US11382364B2

( en )

*

2018-06-08

2022-07-12

Hemodynamiq Wearables Private Limited

Wearable health monitoring fabric

CN114173662A

( en )

*

2019-07-12

2022-03-11

路易斯赖登创新公司

Portable ECG device and ECG system comprising the same

CN110811614A

( en )

*

2019-12-04

2020-02-21

东华大学

Fabric sensing knitted intelligent garment process design and surface myoelectricity monitoring method

US12483162B2

( en )

2020-07-10

2025-11-25

Inviza Corporation

Piezo-elements for wearable devices, including fitness trackers, smart watches and the like

KR102202015B1

( en )

*

2020-08-05

2021-01-12

국방과학연구소

Bio signal measurement device

US12288457B2

( en )

2020-12-04

2025-04-29

Wearable Technologies Inc.

Smart wearable personal safety devices and related systems and methods

Citations (5)

* Cited by examiner, † Cited by third party

Publication number

Priority date

Publication date

Assignee

Title

US20060252999A1

( en )

*

2005-05-03

2006-11-09

Devaul Richard W

Method and system for wearable vital signs and physiology, activity, and environmental monitoring

US20060282021A1

( en )

*

2005-05-03

2006-12-14

Devaul Richard W

Method and system for fall detection and motion analysis

US20070049842A1

( en )

*

2005-08-26

2007-03-01

Resmed Limited

Sleep disorder diagnostic system and method

US7319895B2

( en )

*

2003-08-14

2008-01-15

Tam-Telesante

Garment for the medical monitoring of a patient

US20100273049A1

( en )

*

2006-05-24

2010-10-28

Electricite De France

Textile Electrode and Accumulator Containing Such an Electrode

2012

2012-04-18

US

US13/449,755

patent/US20130281795A1/en

not_active

Abandoned

2015

2015-12-10

US

US14/965,213

patent/US20160183835A1/en

not_active

Abandoned

Patent Citations (5)

* Cited by examiner, † Cited by third party

Publication number

Priority date

Publication date

Assignee

Title

US7319895B2

( en )

*

2003-08-14

2008-01-15

Tam-Telesante

Garment for the medical monitoring of a patient

US20060252999A1

( en )

*

2005-05-03

2006-11-09

Devaul Richard W

Method and system for wearable vital signs and physiology, activity, and environmental monitoring

US20060282021A1

( en )

*

2005-05-03

2006-12-14

Devaul Richard W

Method and system for fall detection and motion analysis

US20070049842A1

( en )

*

2005-08-26

2007-03-01

Resmed Limited

Sleep disorder diagnostic system and method

US20100273049A1

( en )

*

2006-05-24

2010-10-28

Electricite De France

Textile Electrode and Accumulator Containing Such an Electrode

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party

Title

Kong et al. " Spontaneous Polarization-Induced Nanohelixes, Nanosprings, and Nanorings of Peizoelectric Nanobelts " Nano Lett. Vol. 3, No. 12 1625-1631 (2003)

*

Lao et al. " Hierarchical oxide nanostructures " J. Mater. Chem., 14, 770-773, 23 October 2003

*

Zhou, Zhengping and Wu, Xiang-Fa and Fong, Hao. Electrospun carbon nanofibers surface-grafted with vapor-grown carbon nanotubes as hierarchical electrodes for supercapacitors, Applied Physics Letters, 100, 023115 (2012)

*

Cited By (105)

* Cited by examiner, † Cited by third party

Publication number

Priority date

Publication date

Assignee

Title

US9427179B2

( en )

2007-08-22

2016-08-30

Sensoria Inc.

System, garment and method

US20110015498A1

( en )

*

2007-08-22

2011-01-20

Commonwealth Scientific And Industrial Research Or

System, garment and method

US9186092B2

( en )

2007-08-22

2015-11-17

Sensoria, Inc.

System, garment and method

US9782096B2

( en )

2011-01-31

2017-10-10

Clothing Plus Mbu Oy

Textile substrate for measuring physical quantity

US10610118B2

( en )

2011-01-31

2020-04-07

Clothing Plus Mbu Oy

Textile substrate for measuring physical quantity

US10932720B2

( en )

2011-03-08

2021-03-02

Nanowear Inc.

Smart materials, dry textile sensors, and electronics integration in clothing, bed sheets, and pillow cases for neurological, cardiac and/or pulmonary monitoring

US11399769B2

( en )

2011-03-08

2022-08-02

Nanowear Inc.

Smart materials, dry textile sensors, and electronics integration in clothing, bed sheets, and pillow cases for neurological, cardiac and/or pulmonary monitoring

US9895105B2

( en )

*

2011-06-20

2018-02-20

Healthwatch Ltd.

Independent non-interfering wearable health monitoring and alert system

US8925392B2

( en )

2012-01-30

2015-01-06

Sensoria Inc.

Sensors, interfaces and sensor systems for data collection and integrated remote monitoring of conditions at or near body surfaces

US9282893B2

( en )

2012-09-11

2016-03-15

L.I.F.E. Corporation S.A.

Wearable communication platform

US10258092B2

( en )

2012-09-11

2019-04-16

L.I.F.E. Corporation S.A.

Garments having stretchable and conductive ink

US10201310B2

( en )

2012-09-11

2019-02-12

L.I.F.E. Corporation S.A.

Calibration packaging apparatuses for physiological monitoring garments

US10736213B2

( en )

2012-09-11

2020-08-04

L.I.F.E. Corporation S.A.

Physiological monitoring garments

US11013275B2

( en )

2012-09-11

2021-05-25

L.I.F.E. Corporation S.A.

Flexible fabric ribbon connectors for garments with sensors and electronics

US10045439B2

( en )

2012-09-11

2018-08-07

L.I.F.E. Corporation S.A.

Garments having stretchable and conductive ink

US10653190B2

( en )

2012-09-11

2020-05-19

L.I.F.E. Corporation S.A.

Flexible fabric ribbon connectors for garments with sensors and electronics

US10462898B2

( en )

2012-09-11

2019-10-29

L.I.F.E. Corporation S.A.

Physiological monitoring garments

US9817440B2

( en )

2012-09-11

2017-11-14

L.I.F.E. Corporation S.A.

Garments having stretchable and conductive ink

US9986771B2

( en )

2012-09-11

2018-06-05

L.I.F.E. Corporation S.A.

Garments having stretchable and conductive ink

US11246213B2

( en )

2012-09-11

2022-02-08

L.I.F.E. Corporation S.A.

Physiological monitoring garments

US12426788B2

( en )

2012-12-31

2025-09-30

Omni Medsci, Inc.

Active remote sensing of atmospheric gases or smoke using a time-of-flight sensor

US9494567B2

( en )

2012-12-31

2016-11-15

Omni Medsci, Inc.

Near-infrared lasers for non-invasive monitoring of glucose, ketones, HBA1C, and other blood constituents

US11241156B2

( en )

2012-12-31

2022-02-08

Omni Medsci, Inc.

Time-of-flight imaging and physiological measurements

US10441176B2

( en )

2012-12-31

2019-10-15

Omni Medsci, Inc.

Imaging using near-infrared laser diodes with distributed bragg reflectors

US11353440B2

( en )

2012-12-31

2022-06-07

Omni Medsci, Inc.

Time-of-flight physiological measurements and cloud services

US11160455B2

( en )

2012-12-31

2021-11-02

Omni Medsci, Inc.

Multi-wavelength wearable device for non-invasive blood measurements in tissue

US9651533B2

( en )

2012-12-31

2017-05-16

Omni Medsci, Inc.

Short-wave infrared super-continuum lasers for detecting counterfeit or illicit drugs and pharmaceutical process control

US12268475B2

( en )

2012-12-31

2025-04-08

Omni Medsci, Inc.

Wearable device for differential measurement on pulse rate and blood flow

US10517484B2

( en )

2012-12-31

2019-12-31

Omni Medsci, Inc.

Semiconductor diodes-based physiological measurement device with improved signal-to-noise ratio

US10928374B2

( en )

2012-12-31

2021-02-23

Omni Medsci, Inc.

Non-invasive measurement of blood within the skin using array of laser diodes with Bragg reflectors and a camera system

US10136819B2

( en )

2012-12-31

2018-11-27

Omni Medsci, Inc.

Short-wave infrared super-continuum lasers and similar light sources for imaging applications

US10918287B2

( en )

2012-12-31

2021-02-16

Omni Medsci, Inc.

System for non-invasive measurement using cameras and time of flight detection

US12599305B2

( en )

2012-12-31

2026-04-14

Omni Medsci, Inc.

3D cameras or sensors inputting to multi-modal generative artificial intelligence models trained on images or videos

US10172523B2

( en )

2012-12-31

2019-01-08

Omni Medsci, Inc.

Light-based spectroscopy with improved signal-to-noise ratio

US10188299B2

( en )

2012-12-31

2019-01-29

Omni Medsci, Inc.

System configured for measuring physiological parameters

US9885698B2

( en )

2012-12-31

2018-02-06

Omni Medsci, Inc.

Near-infrared lasers for non-invasive monitoring of glucose, ketones, HbA1C, and other blood constituents

US10201283B2

( en )

2012-12-31

2019-02-12

Omni Medsci, Inc.

Near-infrared laser diodes used in imaging applications

US10874304B2

( en )

2012-12-31

2020-12-29

Omni Medsci, Inc.

Semiconductor source based near infrared measurement device with improved signal-to-noise ratio

US10820807B2

( en )

2012-12-31

2020-11-03

Omni Medsci, Inc.

Time-of-flight measurement of skin or blood using array of laser diodes with Bragg reflectors

US12484787B2

( en )

2012-12-31

2025-12-02

Omni Medsci, Inc.

Measurements using camera imaging tissue comprising skin or the hand

US12502080B2

( en )

2012-12-31

2025-12-23

Omni Medsci, Inc.

Camera based wearable devices with artificial intelligence assistants

US12588820B2

( en )

2012-12-31

2026-03-31

Omni Medsci, Inc.

Wearable device for differential measurement on pulse rate and blood flow

US10677774B2

( en )

2012-12-31

2020-06-09

Omni Medsci, Inc.

Near-infrared time-of-flight cameras and imaging

Related documents

Record · ID 607747
Conceptio Open Knowledge Archive — every document is proof-bundled with source, license, and retrieval metadata.