Evaluation of an Automated Smartphone-based Digital Auscultation Application for Detecting Abnormal Heart Sounds Using Deep Learning Techniques
NCT05325723 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 102
Last updated 2023-09-14
Summary
This pilot study is to investigate the feasibility of obtaining medical grade audio phonocardiogram (PCG) recordings using a smartphone-based auscultation device in the first step. The ability to determine Valvular Heart Disease (VHD) (i.e., presence or absence of cardiac murmurs) using novel handheld CAA-devices shall be analyzed and first data on a smartphone-based auscultation in a hospital setting shall be collected. In further studies, the data provided from this study can be used to investigate the potential diagnostic use of such devices in the ambulatory and stationary care scenarios.
Conditions
- Valvular Heart Disease
Sponsors & Collaborators
-
University Hospital, Basel, Switzerland
lead OTHER
Principal Investigators
-
Jens Eckstein, Prof. Dr. med. · University Hospital Basel, Division of Internal Medicine
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2022-08-30
- Primary Completion
- 2023-07-31
- Completion
- 2023-07-31
Countries
- Switzerland
Study Locations
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