RecruitingNCT06009718

Artificial Intelligence (AI) Analysis of Synchronized Phonocardiography (PCG) and Electrocardiogram(ECG)

A Deep-learning-based Multi-modal Phonocardiogram(PCG) and Electrocardiogram(ECG) Processing Framework for Screening Depressed Left Ventricular Ejection Fraction (dLVEF) Using a Wearable Cardiac Patch

Sponsor

Ruijin Hospital

Enrollment

3,000 participants

Start Date

Aug 25, 2023

Study Type

OBSERVATIONAL

Conditions

Heart Failure

Summary

The diagnosis of depressed left ventricular ejection fraction (dLVEF) (EF\<50%) depends on golden standard ultrasound cardiography (UCG). A wearable synchronized phonocardiography (PCG) and electrocardiogram (ECG) device can assist in the diagnosis of dLVEF, which can both expedite access to life-saving therapies and reduce the need for costly testing.

Eligibility

Min Age: 18 YearsMax Age: 100 Years

Inclusion Criteria6

Attendance at RuiJin hospital for UCG
Signed dated informed consent
Commit to follow the research procedures and cooperate in the implementation of the whole process research
UCG has been completed
Age ≥ 18
At least 8 consecutive cycles of sinus rhythm can be recorded