NCT06848179

Smartphone-Based Use of Phonocardiography Technique for Estimating Heart Rate and Heart Rate Variability: Performance Study

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 50 (estimated)
• Sponsor: The University of Hong Kong · Academic / Other
• Sex: All
• Age: 18 Years – 69 Years
• Healthy volunteers: Accepted

Summary

This study aims to investigate the use of heart sound recordings, or phonocardiograms, recorded with smartphones' built-in microphones and accessory microphones to estimate heart rate (HR) and heart rate variability (HRV). HR refers to the number of heart beats per minute, while HRV refers to the variation in the intervals between heart beats. Participants will have their heart sounds (phonocardiograms) recorded before and after exercise, and electrocardiogram (ECG) and photoplethysmogram (PPG) data recorded before, during, and after exercise to induce a wide range of HR. Researchers will match the phonocardiograms, ECG, and PPG data to create a database for use in future training and testing of algorithms (including artificial intelligence (AI)).

Conditions

• Exercise

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Computer algorithms	Collection of computer algorithms called ausculto® that is designed to perform heart sound analysis to estimate heart rate and heart rate variability
BEHAVIORAL	Exercise	Participants will be requested to exercise to raise their HR over the resting range while heart-related physiological signals are collected.

Timeline

• Start date: 2025-03-01
• Primary completion: 2025-07-01
• Completion: 2025-07-01
• First posted: 2025-02-26
• Last updated: 2025-02-26