CClinicalTrials.gg
CompletedNCT05325723AVDAUpdated Sep 14, 2023

Evaluation of an Automated Smartphone-based Digital Auscultation Application for Detecting Abnormal Heart Sounds Using Deep Learning Techniques

An observational study in Valvular Heart Disease, sponsored by University Hospital, Basel, Switzerland. Completed at 1 site in Switzerland. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-09-14.

Sponsored by University Hospital, Basel, Switzerland · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
102
Ages
18 Years and older
Sex
All
01

Study summary

This pilot study is to investigate the feasibility of obtaining medical grade audio phonocardiogram (PCG) recordings using a smartphone-based auscultation device in the first step. The ability to determine Valvular Heart Disease (VHD) (i.e., presence or absence of cardiac murmurs) using novel handheld CAA-devices shall be analyzed and first data on a smartphone-based auscultation in a hospital setting shall be collected. In further studies, the data provided from this study can be used to investigate the potential diagnostic use of such devices in the ambulatory and stationary care scenarios.

Read the detailed description

Cardiac auscultation is considered to be highly subjective with substantial varying sensitivities and specificities in regard of the practitioners' expertise. Computer-assisted auscultation (CAA) aims to provide increased objectivity. CAA makes auscultation procedure less operator-dependent, approximate inter-examiner differences and may reduce uncertainties in the course of the examination. With the introduction of modern Machine Learning software libraries and ever-growing computational resources CAA has advanced significantly and is now able to classify heart sounds and murmurs into normal and abnormal, using complex spectro-temporal signal processing techniques and neural network pathways. CAA has simultaneously made the shift from the deployment on computers to consumer smartphones. A benefit of CAA can be expected from the smartphone alone in terms of cost, application range, the clinical validity of such algorithms should now be measured in this pilot study. This pilot study is to investigate the feasibility of obtaining medical grade audio phonocardiogram (PCG) recordings using a smartphone-based auscultation device in the first step. In further studies, the data provided from this study can be used to investigate the potential diagnostic use of such devices in the ambulatory and stationary care scenarios.

02

Conditions studied

  • Valvular Heart Disease

Keywords

  • automated digital auscultation
  • deep learning technique
  • smartphone-based digital auscultation
  • Computer-assisted auscultation (CAA)
  • artificial neural networks (ANN)
  • heart sound (HS) identification
  • medical grade audio phonocardiogram (PCG)
03

In context

Heart Diseases

3,639 studies on the registry are indexed under Heart Diseases; 461 are open to participants now.

This study's enrollment of 102 is below the median of 294 across 1,241 observational studies indexed under Heart Diseases.

Browse Heart Diseases studies →

Lead sponsor

University Hospital, Basel, Switzerland is the lead sponsor of 968 studies on the registry; 191 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

Patients will be recruited at the Department of Cardiology, University Hospital Basel. The scheduled appointment lists of patients for an echocardiography will be checked and eligible patients will be contacted by the study physician before presenting for their planned echocardiography appointment.

Inclusion criteria

  • Older or equal than 18 years of age
  • Referred for an echocardiogram
  • Able to provide informed consent

Exclusion criteria

Exclusion Criteria:

  • Confirmed arrythmia
  • Prior valvular intervention
  • Evidence of congenital heart disease
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
102 participants (actual)
Patient registry
No

Groups and cohorts

  • Intervention group

    1. 30 second audio phonocardiogram (PCG) recordings at each of the five standard cardiac auscultatory positions using an Apple iPhone®. 2. the assessment of VHD by echocardiogram, as reported by the echocardiography laboratory.

06

What researchers measure

Primary outcomes

  1. Determination of Valvular Heart Disease (VHD) (i.e., presence or absence of cardiac murmurs)

    Ability to determine VHD (i.e., presence or absence of cardiac murmurs) using novel handheld CAA-devices is investigated by collection of data on a smartphone-based auscultation in a hospital setting.

    Time frame: one time assessment at baseline (approx. 5 minutes)

07

Study locations

1 site
  • University Hospital Basel, Division of Internal Medicine
    Basel, 4031, Switzerland
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 14, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT05325723
Lead sponsor
University Hospital, Basel, Switzerland
Responsible party
Sponsor
First posted
Apr 13, 2022
Start date
Aug 30, 2022
Primary completion
Jul 31, 2023
Completion
Jul 31, 2023
Last update
Sep 14, 2023

Study contacts

Jens Eckstein, Prof. Dr. med.
principal investigator · University Hospital Basel, Division of Internal Medicine

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Sep 2023. You cannot join it, but the record below documents what was studied.

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