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This comparative diagnostic accuracy study will determine the accuracy of a noninvasive wearable infrasonic sensor to detect the mechanical, electrical, and hemodynamic function of the cardiovascular system.
This comparative diagnostic accuracy study will determine the accuracy of a noninvasive wearable infrasonic sensor to detect the mechanical, electrical, and hemodynamic function of the cardiovascular system. 25 patients with cardiovascular disease will undergo a comprehensive echocardiogram, electrocardiogram, and cardiac catheterization while wearing a infrasonic earbud device. The infrasonic and hemodynamic waveforms will be analyzed using machine learning with the goal of correlating infrasound data captured by the earbud to the patient's cardiovascular hemodynamics.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Severe aortic stenosis | Experimental | Patients with echocardiographic evidence of severe aortic stenosis as defined by: Aortic Vmax ≥4 m/s or mean ΔP ≥40 mmHg AVA ≤1.0 cm2 |
|
| Severe mitral regurgitation | Experimental | Patients with echocardiographic evidence of severe mitral regurgitation as defined by:
|
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| Heart Failure with Reduced EF <35% | Experimental | Patients with echocardiographic evidence of left ventricular ejection fraction of < or = to 35% |
|
| Pulmonary Hypertension | Experimental | Patients with echocardiographic evidence of a mean pulmonary artery pressure (mPAP; supine and at rest) >20mmHg |
|
| Suspected coronary artery disease | Experimental | Patients with plan to undergo elective left heart diagnostic catheterization for the assessment of coronary artery disease |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MindMics earbud | Other | Novel noninvasive wearable infrasound sensor |
|
| Measure | Description | Time Frame |
|---|---|---|
| Infrasound Hemodynography | Correlation of Infrasound data to hemodynamic parameter(s) and to cardiac time intervals | 1 year |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Carly Waldman, MD | Contact | 858-537-7792 | waldman.carly@scrippshealth.org | |
| Sanjeev Bhavnani, MD | Contact | 619-660-1842 | bhavnani.sanjeev@scrippshealth.org |
| Name | Affiliation | Role |
|---|---|---|
| Sanjeev Bhavnani, MD | Scripps Health | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Scripps Health | Recruiting | La Jolla | California | 92037 | United States |
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| Label | URL |
|---|---|
| Wearable PPG prediction of cardiac output from arterial line measurement in a swine model | View source |
| Hearables: Multimodal physiological in-ear sensing | View source |
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| ID | Term |
|---|---|
| D001024 | Aortic Valve Stenosis |
| D008944 | Mitral Valve Insufficiency |
| D006976 | Hypertension, Pulmonary |
| D054143 | Heart Failure, Systolic |
| D002318 | Cardiovascular Diseases |
| D003324 | Coronary Artery Disease |
| ID | Term |
|---|---|
| D000082862 | Aortic Valve Disease |
| D006349 | Heart Valve Diseases |
| D006331 | Heart Diseases |
| D014694 | Ventricular Outflow Obstruction |
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|
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D006973 | Hypertension |
| D014652 | Vascular Diseases |
| D006333 | Heart Failure |
| D003327 | Coronary Disease |
| D017202 | Myocardial Ischemia |
| D001161 | Arteriosclerosis |
| D001157 | Arterial Occlusive Diseases |