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

NCT06009718 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 3000

Last updated 2025-01-16

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Ruijin Hospital

    lead OTHER

Principal Investigators

  • Ruiyan Zhang, MD, PhD · Ruijin Hospital, Shanghai Jiaotong School of Medicine

  • Wenli Zhang, MD · Ruijin Hospital, Shanghai Jiaotong School of Medicine

  • Bei Song, MD · Ruijin Hospital, Shanghai Jiaotong School of Medicine

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-08-25
Primary Completion
2027-06-01
Completion
2028-06-01

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06009718 on ClinicalTrials.gov