Recruitment

Recruitment Status
Enrolling by invitation
Estimated Enrollment
Same as current

Summary

Conditions
  • Aortic Stenosis
  • Cardiovascular Diseases
  • Coronary (Artery) Disease
  • Heart Failure Systolic
  • Mitral Regurgitation
  • Pulmonary Hypertension
Type
Interventional
Phase
Not Applicable
Design
Allocation: Non-RandomizedIntervention Model: Single Group AssignmentMasking: None (Open Label)Primary Purpose: Diagnostic

Participation Requirements

Age
Younger than 125 years
Gender
Both males and females

Description

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, electro...

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.

Tracking Information

NCT #
NCT04636892
Collaborators
Not Provided
Investigators
Principal Investigator: Sanjeev Bhavnani, MD Scripps Health