ExerciseNCT06848179
Smartphone-Based Use of Phonocardiography Technique for Estimating Heart Rate and Heart Rate Variability: Performance Study
An observational study of Exercise, run by The University of Hong Kong.
Trial 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). Read more about this study
- Who is it for?
- Ages 18 to 69 yearsHealthy volunteers can take part
- Conditions the study is for
- Exercise
- What is being tested?
- Computer algorithms and Exercise
- Type of treatment
- Lifestyle or therapy programme
- How many people
- 50 participants
- Where
- No sites listed yet
- Study dates
- Mar 2025to Jul 2025
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 69 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Apparently healthy volunteers aged 18-69 recruited from the general public
Who may be able to join
- With no tattoos on their body where a smartwatch will be placed
Who cannot join
- 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
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
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
- Being tested
- Computer algorithms, Exercise
- Keywords
- Auscultation, Smartphone, Heart Sounds, Heart Auscultation, Phonocariodgraphy
- Medical subject headings
- Motor Activity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Computer algorithmsDiagnostic test
Also called ausculto®, Vitogram®
Collection of computer algorithms called ausculto® that is designed to perform heart sound analysis to estimate heart rate and heart rate variability
ExerciseBehavioural
Participants will be requested to exercise to raise their HR over the resting range while heart-related physiological signals are collected.
| Study group | Role | What they receive |
|---|---|---|
| Healthy Participants | Participants deemed ready for physical activity by the Physical Activity Readiness Questionnaire (PAR-Q) Receives: Diagnostic Test: Computer algorithms; Behavioral: Exercise |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 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.
Measured: Day 0
Secondary outcomes (1)
Participants' comfort level for devices used in this study
A survey will be given to participants after heart data collection to evaluate their preferences and comfort level when using the different devices to measure HR and HRV.
Measured: Day 0
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted26 Feb 2025
- Study startMar 2025 (estimated)
- Primary completionJul 2025 (estimated)
- Study completionJul 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for ExerciseStudies of the same condition, open and under way.
- More trials run by The University of Hong KongThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 50 participants (estimated)
Sponsor and investigators
- Lead sponsor
- The University of Hong Kong
- Sponsor type
- University, hospital or other
- Collaborators
- Laboratory of Data Discovery for Health
- Responsible party
- Principal investigator, Dr. Joshua Wing-Kei Ho, The University of Hong Kong
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06848179
- Sponsor's protocol ID
- AUSC-HR
- Status last verified
- Feb 2025
- First submitted
- 21 Feb 2025
- Last updated
- 26 Feb 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 26 Feb 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Smartphone-Based Use of Phonocardiography Technique for Estimating Heart Rate and Heart Rate Variability: Performance Study
- ClinicalTrials.gov ID
- NCT06848179
- Acronym / sponsor ID
- AUSC-HR
- Conditions
- Exercise
- Keywords
- Auscultation, Smartphone, Heart Sounds, Heart Auscultation, Phonocariodgraphy
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 50 participants (estimated)
- Lead sponsor
- The University of Hong KongUniversity, hospital or other
- Collaborators
- Laboratory of Data Discovery for Health
- Study start
- Mar 2025 (estimated)
- Primary completion
- Jul 2025 (estimated)
- Study completion
- Jul 2025 (estimated)
- First posted
- 26 Feb 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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)).
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Healthy Participants | – | Diagnostic Test: Computer algorithms, Behavioral: ExerciseParticipants deemed ready for physical activity by the Physical Activity Readiness Questionnaire (PAR-Q) |
Who may qualify
- Ages
- 18 to 69 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Apparently healthy volunteers aged 18-69 recruited from the general public
Key inclusion criteria (1 listed)
- With no tattoos on their body where a smartwatch will be placed
Key exclusion criteria (3 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Computer algorithmsAlso: ausculto®, Vitogram®Collection of computer algorithms called ausculto® that is designed to perform heart sound analysis to estimate heart rate and heart rate variability | Diagnostic test | Healthy Participants |
| ExerciseParticipants will be requested to exercise to raise their HR over the resting range while heart-related physiological signals are collected. | Behavioural | Healthy Participants |
Primary outcome
HR estimation
Time frame: Day 0
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.
HRV estimation
Time frame: Day 0
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.
1 secondary outcome
Participants' comfort level for devices used in this study
Time frame: Day 0
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 26 Feb 2025.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Questions about this trial
What is this clinical trial studying?
An observational study of Exercise, run by The University of Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 26 Feb 2025. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Joshua Ho, Ph.D. (+852 3917 9512, jwkho@hku.hk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
HR estimation (time frame: Day 0). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 26 Feb 2025.