Queen Mary Hospital
Hong Kong, Hong Kong SAR, China
NCT Number: NCT06070298
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.
This study is active but is not currently recruiting participants.
Notify Me22 year and older
All sexes
Observational
Hong Kong, Hong Kong SAR, China
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion Criterion:
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™
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: Day 0 to Day 1
Wong Chun Ka
Other
Smartphone-Based Use of Phonocardiography Technique for Detection of Murmurs: Diagnostic Performance Study Protocol
Acronym: AUSC1
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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