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Clinical Validation of Portable Electronic Stethoscope for Detecting VHD
Sponsor: The University of Hong Kong
Summary
The goal of this observational study is to evaluate accuracy of portable electronic stethoscope and machine learning-based diagnostic algorithms for detecting the disease in people with valvular heart disease and healthy controls. The main question it aims to answer is: Is portable electronic stethoscope and machine learning-based diagnostic algorithms allow accurate detection of valvular heart disease? Researchers will compare diagnostic algorithm's predictions with the clinicians' predictions to see if the diagnostic results are accurate. Participants will * take echocardiogram * take electrocardiogram using BPM Core * get the heart auscultation data measured via electronic stethoscope
Official title: Clinical Validation of Portable Electronic Stethoscope for Detecting Valvular Heart Disease
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
125
Start Date
2024-07-03
Completion Date
2026-12-31
Last Updated
2026-05-06
Healthy Volunteers
Yes
Conditions
Interventions
BPM Core
Heart auscultation data will be collected from the patients in 5 different groups using BPM Core
Locations (1)
Queen Mary Hospital
Hong Kong, Pok Fu Lam Rd., Hong Kong