ClinicalTrials.gov
public full text
Public Domain
Evaluation of a Non-Invasive Electrocardiogram-Assisted Blood Pressure Monitor
Approximately one billion people suffer from hypertension worldwide. At least 10% of this population, that is, 100 million people, also suffers from associated chronic conditions namely, atrial fibrillation (AF), obesity, arterial stiffness (AS), and heart failure (HF). Personal interaction with medical practitioners (doctors) and review of published clinical research confirms that current non-invasive automatic blood pressure (BP) monitors that rely on BP pulse analysis alone cannot provide accurate measurement due to the unpredictable/weak nature of BP pulses in the above-mentioned chronic conditions. Lack of accuracy in BP estimation can lead to wrong diagnoses and hence to complications such as stokes and heart attacks. The Sponsor is developing a novel non-invasive BP monitor that is similar to existing automatic monitors yet is capable of acquiring and analyzing electrocardiogram (ECG) data in conjunction with BP pulse data to provide better and more accurate measurements in the above chronic conditions. The objective of this clinical trial is to evaluate the performance of this ECG-assisted BP monitor against invasive BP measurements in a small group of patients who suffer from the above conditions.
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
- Multi-Centre Based Evaluation of the Performance and Safety of the Corsano CardioWatch 287-2 Blood Pressure Monitoring Device at Wrist Against BP-Cuff Measurements (COR-BP)#1008638
- Blood Pressure Checks for Diagnosing Hypertension (BP-CHECK)#1046904
- Wearable Blood Pressure Devices to Identify Masked Uncontrolled Hypertension.#827000
- AI-powered ECG Analysis Using Willem™ Software in High-risk Cardiac Patients (WILLEM)#887668
- Implementation Strategies for Self-Measured Blood Pressure Monitoring in Racially and Ethnically Diverse Populations#829738
Record · ID 1445436
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