Actively Recruiting
Artificial Intelligence (AI) Analysis of Synchronized Phonocardiography (PCG) and Electrocardiogram(ECG)
Led by Ruijin Hospital · Updated on 2025-01-16
3000
Participants Needed
3
Research Sites
248 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Artificial Intelligence (AI) Analysis of Synchronized Phonocardiography (PCG) and Electrocardiogram(ECG)
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Attendance at RuiJin hospital for UCG
- Signed dated informed consent
- Commitment to follow all research procedures and cooperate throughout the study
- Completion of ultrasound cardiography (UCG)
- Age 18 years or older
- Ability to record at least 8 consecutive cycles of sinus rhythm
You will not qualify if you...
- Presence of a pacemaker
- Complete left bundle branch block or QRS wave widening greater than 120 milliseconds
- Damage or allergy to the skin on the left chest that would prevent patch use
- Refusal to participate in the study
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 3 locations
1
Ruijin Hospital, Shanghai Jiaotong School of Medicine
Shanghai, China, 200025
Actively Recruiting
2
Shanghai Chest Hospital, Shanghai Jiao Tong University School Of Medicine
Shanghai, China, 200030
Actively Recruiting
3
Shanghai East Hospital
Shanghai, China, 200123
Actively Recruiting
Research Team
W
Wenli Zhang, MD
CONTACT
B
Bei Song, MD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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