Artificial Intelligence (AI) Analysis of Synchronized Phonocardiography (PCG) and Electrocardiogram(ECG)
NCT ID: NCT06009718
Last Updated: 2025-01-16
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
3000 participants
OBSERVATIONAL
2023-08-25
2028-06-01
Brief Summary
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Detailed Description
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This study is a Case-control study. In this study, the investigators seek to develop an artificial intelligence (AI) analysis system to identify dLVEF (EF\<50%) by PCG and ECG. All adults (aged ≥18 years) planned for UCG were eligible to participate (inpatients and outpatients). Specifically, the investigators will attempt to develop machine learning algorithms to learn synchronized PCG and ECG of patients with dLVEF. Then we use these algorithms to identify dLVEF subjects. The investigators anticipate to demonstrate the wearable cardiac patch with synchronized PCG and ECG can reliably and accurately diagnose dLVEF in the primary care setting.
Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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Model training group
Compare the results of PCG and ECG with UCG, and conduct model training analysis
No interventions assigned to this group
Model validation group
Compare the results of PCG and ECG with UCG, and conduct model validation analysis
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* 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
Exclusion Criteria
* Complete left bundle branch block or block or QRS wave widening\>120ms
* Left chest skin damaged or allergic to patch
* Refusal to participate
18 Years
100 Years
ALL
No
Sponsors
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Ruijin Hospital
OTHER
Responsible Party
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RUIYAN ZHANG
Director of Cardiology Department, Chief Physician
Principal Investigators
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Ruiyan Zhang, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Ruijin Hospital, Shanghai Jiaotong School of Medicine
Wenli Zhang, MD
Role: STUDY_DIRECTOR
Ruijin Hospital, Shanghai Jiaotong School of Medicine
Bei Song, MD
Role: STUDY_CHAIR
Ruijin Hospital, Shanghai Jiaotong School of Medicine
Locations
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Ruijin Hospital, Shanghai Jiaotong School of Medicine
Shanghai, , China
Shanghai Chest Hospital, Shanghai Jiao Tong University School Of Medicine
Shanghai, , China
Shanghai East Hospital
Shanghai, , China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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RJH-PEG
Identifier Type: -
Identifier Source: org_study_id
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