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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.
Cardiac auscultation is considered to be highly subjective with substantial varying sensitivities and specificities in regard of the practitioners' expertise. Computer-assisted auscultation (CAA) aims to provide increased objectivity. CAA makes auscultation procedure less operator-dependent, approximate inter-examiner differences and may reduce uncertainties in the course of the examination. With the introduction of modern Machine Learning software libraries and ever-growing computational resources CAA has advanced significantly and is now able to classify heart sounds and murmurs into normal and abnormal, using complex spectro-temporal signal processing techniques and neural network pathways. CAA has simultaneously made the shift from the deployment on computers to consumer smartphones. A benefit of CAA can be expected from the smartphone alone in terms of cost, application range, the clinical validity of such algorithms should now be measured in this pilot study. 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. 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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention group |
|
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| Measure | Description | Time Frame |
|---|---|---|
| Determination of Valvular Heart Disease (VHD) (i.e., presence or absence of cardiac murmurs) | Ability to determine VHD (i.e., presence or absence of cardiac murmurs) using novel handheld CAA-devices is investigated by collection of data on a smartphone-based auscultation in a hospital setting. | one time assessment at baseline (approx. 5 minutes) |
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Inclusion Criteria:
Exclusion Criteria:
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Patients will be recruited at the Department of Cardiology, University Hospital Basel. The scheduled appointment lists of patients for an echocardiography will be checked and eligible patients will be contacted by the study physician before presenting for their planned echocardiography appointment.
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| Name | Affiliation | Role |
|---|---|---|
| Jens Eckstein, Prof. Dr. med. | University Hospital Basel, Division of Internal Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Basel, Division of Internal Medicine | Basel | 4031 | Switzerland |
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| ID | Term |
|---|---|
| D006349 | Heart Valve Diseases |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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