Smartphone-Based Use of Phonocardiography Technique for Estimating Heart Rate and Heart Rate Variability: Performance Study
NCT ID: NCT06848179
Last Updated: 2025-02-26
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
50 participants
OBSERVATIONAL
2025-03-31
2025-07-31
Brief Summary
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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)).
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Healthy Participants
Participants deemed ready for physical activity by the Physical Activity Readiness Questionnaire (PAR-Q)
Computer algorithms
Collection of computer algorithms called ausculto® that is designed to perform heart sound analysis to estimate heart rate and heart rate variability
Exercise
Participants will be requested to exercise to raise their HR over the resting range while heart-related physiological signals are collected.
Interventions
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Computer algorithms
Collection of computer algorithms called ausculto® that is designed to perform heart sound analysis to estimate heart rate and heart rate variability
Exercise
Participants will be requested to exercise to raise their HR over the resting range while heart-related physiological signals are collected.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* 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
18 Years
69 Years
ALL
Yes
Sponsors
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Laboratory of Data Discovery for Health
UNKNOWN
The University of Hong Kong
OTHER
Responsible Party
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Dr. Joshua Wing-Kei Ho
Associate Professor
Central Contacts
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Other Identifiers
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AUSC-HR
Identifier Type: -
Identifier Source: org_study_id
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