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NCT06907264

Wearable ECG for AF Screening and Stroke Risk Assessment

Sponsor: Beijing Tsinghua Chang Gung Hospital

View on ClinicalTrials.gov

Summary

This study aims to evaluate the application of wearable ECG garments in atrial fibrillation (AF) screening and stroke risk assessment. Using a prospective, multicenter, observational design, the study will recruit high-risk stroke patients aged 40 and above to undergo 24-hour continuous ECG monitoring with wearable ECG garments. The study will assess the detection rate of AF and explore the correlation between heart rate variability (HRV) parameters and stroke risk. Additionally, the study will analyze the association between P-wave indices and AF, and evaluate the acceptability of the device among patients and healthcare providers. The primary goal is to validate the accuracy of wearable ECG garments in AF detection and explore their predictive value for stroke risk in high-risk populations.

Official title: Application of Wearable ECG Garments in Atrial Fibrillation Screening and Stroke Risk Assessment

Key Details

Gender

All

Age Range

40 Years - Any

Study Type

OBSERVATIONAL

Enrollment

243

Start Date

2025-04-01

Completion Date

2027-12-31

Last Updated

2025-04-02

Healthy Volunteers

Yes

Interventions

DEVICE

Wearable ECG Garment for Continuous Atrial Fibrillation Screening and Stroke Risk Assessment

This intervention utilizes a wearable ECG garment, a non-invasive, textile-based device for continuous 24-hour ECG monitoring. The garment features embedded electrodes to capture heart rate, rhythm, HRV parameters (e.g., SDNN, RMSSD, LF/HF), and P-wave indices (e.g., P-wave duration, PtfV1), enabling comprehensive assessment of atrial fibrillation (AF) and stroke risk. The device is lightweight, comfortable, and supports wireless data transmission to the cloud for real-time analysis. The study incorporates machine learning algorithms to identify AF patterns and explore stroke risk predictors, targeting individuals aged 40+ at high stroke risk. It also evaluates device acceptability and usability, aiming to improve AF detection rates, enable early intervention, and reduce stroke risk.

Locations (2)

Beijing Tsinghua Changgung Hospital

Beijing, Beijing Municipality, China

Pinggu District Hospital

Beijing, China