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

NCT06848179 | Not Yet Recruiting

• 1 other identifier: AUSC-HR
• Study Type: observational
• Target: 50
• Locations: 0 countries
• Sites: N/A

Brief 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

Keywords

Auscultation; Smartphone; Heart Sounds; Heart Auscultation; Phonocariodgraphy

Outcome Measures

Primary Outcomes (2)

• HR estimation

  The algorithm will estimate participants' HR from phonocardiograms at multiple timepoints. The concordance correlation coefficient, mean bias, and limits of agreement will be calculated for HR with ECG-derived HR as the gold standard.

  Day 0

• HRV estimation

  The algorithm will estimate participants' HRV from phonocardiograms at multiple timepoints. The absolute difference (error) in HRV estimation will be calculated with ECG-derived HRV as the gold standard.

  Day 0

Secondary Outcomes (1)

• Participants' comfort level for devices used in this study

  Day 0

Study Arms (1)

Healthy Participants

Participants deemed ready for physical activity by the Physical Activity Readiness Questionnaire (PAR-Q)

Diagnostic Test: Computer algorithms; Behavioral: Exercise

Interventions

Computer algorithms DIAGNOSTIC_TEST

Collection of computer algorithms called ausculto® that is designed to perform heart sound analysis to estimate heart rate and heart rate variability

Also known as: ausculto®, Vitogram®

Healthy Participants

Exercise BEHAVIORAL

Participants will be requested to exercise to raise their HR over the resting range while heart-related physiological signals are collected.

Healthy Participants

Eligibility Criteria

• Age: 18 Years - 69 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Apparently healthy volunteers aged 18-69 recruited from the general public

You may qualify if:

• With no tattoos on their body where a smartwatch will be placed

You may not qualify if:

• Not ready to undertake physical activity as assessed by the Physical Activity Readiness Questionnaire (PAR-Q) derived from the Canadian Society for Exercise Physiology
• Implanted active medical devices in the torso, such as pacemakers and defibrillators
• Failure to collect baseline heart sound time series from ECG or both smartphone and auscultation pin before exercise

Sponsors & Collaborators

• The University of Hong Kong: lead
• Laboratory of Data Discovery for Health: collaborator

MeSH Terms

Conditions

Motor Activity

Interventions

Exercise

Condition Hierarchy (Ancestors)

Behavior

Intervention Hierarchy (Ancestors)

Motor Activity; Movement; Musculoskeletal Physiological Phenomena; Musculoskeletal and Neural Physiological Phenomena

Central Study Contacts

Joshua Ho, Ph.D.

CONTACT

+852 3917 9512; jwkho@hku.hk

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor

Study Record Dates

• First Submitted: February 21, 2025
• First Posted: February 26, 2025
• Study Start: March 1, 2025
• Primary Completion: July 1, 2025
• Study Completion: July 1, 2025
• Last Updated: February 26, 2025

Record last verified: 2025-02

Data Sharing

• IPD Sharing: Will not share