Can a Smartphone Listen to Your Heart? A Performance Study on Detecting Abnormalities in Your Heart Sounds

Sponsor
Wong Chun Ka (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT06070298
Collaborator
Laboratory of Data Discovery for Health (Other), The University of Hong Kong (Other)
577
1
13
44.3

Study Details

Study Description

Brief Summary

This observational study aims to assess the performance of the software called ausculto™. ausculto™ is a collection of computer algorithms that intend to analyse heart sounds recorded from the built-in microphone of a smartphone for abnormal sounds.

Participants will have their heart sounds recorded during their regular clinic appointment after consenting to participate in this study.

Researchers will manually annotate the recorded heart sounds to create a database for use in future training and testing of artificial intelligence (AI) intended for medical uses.

Condition or Disease Intervention/Treatment Phase
  • Diagnostic Test: Computer algorithms

Study Design

Study Type:
Observational [Patient Registry]
Anticipated Enrollment :
577 participants
Observational Model:
Case-Control
Time Perspective:
Cross-Sectional
Official Title:
Smartphone-Based Use of Phonocardiography Technique for Detection of Murmurs: Diagnostic Performance Study Protocol
Anticipated Study Start Date :
Nov 1, 2023
Anticipated Primary Completion Date :
Dec 1, 2024
Anticipated Study Completion Date :
Dec 1, 2024

Arms and Interventions

Arm Intervention/Treatment
Abnormal Echocardiography Diagnosis

Participants with abnormal echocardiography diagnosis within three years.

Diagnostic Test: Computer algorithms
Collection of lightweight computer algorithms called ausculto™ that is designed to perform real-time heart sound analysis to detect heart murmur.
Other Names:
  • ausculto™
  • Vitogram™
  • Normal Echocardiography Diagnosis

    Participants with normal echocardiography diagnosis within three years.

    Diagnostic Test: Computer algorithms
    Collection of lightweight computer algorithms called ausculto™ that is designed to perform real-time heart sound analysis to detect heart murmur.
    Other Names:
  • ausculto™
  • Vitogram™
  • Outcome Measures

    Primary Outcome Measures

    1. Sensitivity of ausculto™ Using Auscultation Paired with Echocardiography as Ground Truth [Day 0]

      Sensitivity is defined as the percentage of true positives out of all positive cases from the ground truth. Cardiologist electronic stethoscope heart sound recording annotations paired with echocardiography diagnosis will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.

    2. Specificity of ausculto™ Using Auscultation Paired with Echocardiography as Ground Truth [Day 0]

      Specificity is defined as the percentage of true negatives out of all negative cases from the ground truth. Cardiologist electronic stethoscope heart sound recording annotations paired with echocardiography diagnosis will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.

    Secondary Outcome Measures

    1. Sensitivity of ausculto™ Using Auscultation as Ground Truth [Day 0]

      Sensitivity is defined as the percentage of true positives out of all positive cases from the ground truth. Cardiologist electronic stethoscope heart sound recording annotations will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.

    2. Specificity of ausculto™ Using Auscultation as Ground Truth [Day 0]

      Specificity is defined as the percentage of true negatives out of all negative cases from the ground truth. Cardiologist electronic stethoscope heart sound recording annotations will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.

    3. Sensitivity of ausculto™ Using Echocardiography as Ground Truth [Day 0]

      Sensitivity is defined as the percentage of true positives out of all positive cases from the ground truth. Echocardiography diagnosis will be used as the ground truth.

    4. Specificity of ausculto™ Using Echocardiography as Ground Truth [Day 0]

      Specificity is defined as the percentage of true negatives out of all negative cases from the ground truth. Echocardiography diagnosis will be used as the ground truth.

    5. Positive Predictive Value of ausculto™ Using Auscultation Paired with Echocardiography as Ground Truth [Day 0]

      Positive predictive value is defined as the percentage of true positives out of all positive results from ausculto™. Cardiologist electronic stethoscope heart sound recording annotations paired with echocardiography diagnosis will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.

    6. Negative Predictive Value of ausculto™ Using Auscultation Paired with Echocardiography as Ground Truth [Day 0]

      Negative predictive value is defined as the percentage of true negatives out of all negative results from ausculto™. Cardiologist electronic stethoscope heart sound recording annotations paired with echocardiography diagnosis will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.

    7. Positive Predictive Value of ausculto™ Using Auscultation as Ground Truth [Day 0]

      Positive predictive value is defined as the percentage of true positives out of all positive results from ausculto™. Cardiologist electronic stethoscope heart sound recording annotations will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.

    8. Negative Predictive Value of ausculto™ Using Auscultation as Ground Truth [Day 0]

      Negative predictive value is defined as the percentage of true negatives out of all negative results from ausculto™. Cardiologist electronic stethoscope heart sound recording annotations will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.

    9. Positive Predictive Value of ausculto™ Using Echocardiography as Ground Truth [Day 0]

      Positive predictive value is defined as the percentage of true positives out of all positive results from ausculto™. Echocardiography diagnosis will be used as the ground truth.

    10. Negative Predictive Value of ausculto™ Using Echocardiography as Ground Truth [Day 0]

      Negative predictive value is defined as the percentage of true negatives out of all negative results from ausculto™. Echocardiography diagnosis will be used as the ground truth.

    11. Number of Adverse Events Reported by Participants Deemed to be Caused by the Observational Procedures [Day 0 to Day 1]

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    22 Years and Older
    Sexes Eligible for Study:
    All
    Inclusion Criteria:
    • Age: ≥22 years (adult)

    • Outpatients who have undergone echocardiography within 3 years at their normal non-research follow-up clinic visit appointment

    Exclusion Criterion:
    • Implanted active medical devices in the torso, such as pacemakers and defibrillators

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Queen Mary Hospital Hong Kong Hong Kong SAR China

    Sponsors and Collaborators

    • Wong Chun Ka
    • Laboratory of Data Discovery for Health
    • The University of Hong Kong

    Investigators

    • Principal Investigator: Chun Ka Wong, MBBS, The University of Hong Kong

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Wong Chun Ka, Clinical Assistant Professor, The University of Hong Kong
    ClinicalTrials.gov Identifier:
    NCT06070298
    Other Study ID Numbers:
    • AUSC1
    First Posted:
    Oct 6, 2023
    Last Update Posted:
    Oct 6, 2023
    Last Verified:
    Sep 1, 2023
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Keywords provided by Wong Chun Ka, Clinical Assistant Professor, The University of Hong Kong
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Oct 6, 2023