ClinicalTrials.gov
public full text
Public Domain
Analyze Sleep Stages by Portable ECG Device
Sleep is a fundamental need for human and is associated with the working performance and the disease occurrence. Furthermore, the amount of people with sleep disorder or apnea increased largely. Thus, the analysis of sleep stages and the measurement of sleep quality became more important recently. In clinical settings, the analysis of daily sleep quality depends on actigraphy and sleep log. However, the uses of actigraphy and sleep log are not really convenient for patients. In this trial, the investigators will measure the subjects' ECG signal and movement using a portable ECG device with motion sensor. On the other hand, the sleep stages are also obtained from the current wide-established measurement- polysomnography. The ECG signals, movements, and sleep stages will be analyzed by our algorithm of artificial neural network. Then, the investigators can obtain the preliminary analysis of sleep quality can be obtained by using ECG device with our algorithm. It is helpful for doctors to realize the patent's sleep quality quickly
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Prevalence of Nocturnal Hypoglycemia in Children on a Type 1 Diabetes (TID) Insulin Regimen Using a Continuous Glucose Monitoring System (CGMS)#1007533
- VEINEX : Venous Investigations During Exercise#1074660
- Novel Epidermal Recording and Detection of Seizures#888272
- First-in-human Trial of Home Brain Pressure Measured Using Kitea ICP Sensor, Placed During Hydrocephalus Shunt Surgery.#863707
- Syncope and Implanted Loop Recorder: the Utility of Remote Monitoring and Patients Centered Setting Alarms#994038
Record · ID 852015
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive