Collecting lung sound recordings using Eko digital stethoscopes in clinic
Official title: Data Collection Using Eko Digital Devices in a Clinical Setting
Run by Eko Devices, Inc. · NCT07270744 · Data updated 2026-11-12
This project will try to teach computer programs to recognize wheeze, crackles, rhonchi, stridor, rales, and cough from stethoscope recordings in adults with suspected or diagnosed lung conditions and in people with normal lungs.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 200 (estimated) |
| Sponsor | Eko Devices, Inc. Industry-sponsored |
| Locations | 1 site (Mumbai, Maharashtra) |
| Status | Recruiting |
| Started | October 1, 2025 |
| Main results expected | December 1, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | September 1, 2026 |
| Trial ID | NCT07270744 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (18+) who can give consent and either have suspected/diagnosed lower respiratory conditions or are normal with no adventitious lung sounds, and who can tolerate multiple chest and back recordings.
✕Probably not a fit
Patients on mechanical ventilation, those unable to have multiple recordings due to mobility or other limitations, or those unable/unwilling to consent are excluded and unlikely to benefit from participation.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational effort collects chest and back audio recordings with Eko digital stethoscopes from adult patients at a single clinical site. Participants include adults with suspected or diagnosed lower respiratory conditions and healthy adults without adventitious lung sounds. The recordings will be used to train and validate binary machine-learning classifiers for specific adventitious sounds and to examine how sound type and location map to pulmonary diagnoses. Patients on mechanical ventilation or those unable to undergo multiple recordings are excluded.
Why it matters
Potential benefit: If successful, the work could enable computer-assisted tools that help clinicians detect and classify abnormal lung sounds more reliably, improving diagnosis and monitoring.
How similar studies have gone: Similar machine-learning approaches using digital stethoscope recordings have shown promising results in research settings but are not yet widely implemented in routine clinical care.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients suspected or diagnosed lower respiratory condition OR Presence of wheeze, coarse crackle, fine crackle, rhonchus, stridor, rales, and cough discovered during routine auscultation * Normal patients with no adventitious lung sounds * Adults patients, over 18 years old * Able to provide verbal consent Exclusion Criteria: * Patients unable to have multiple recordings taken on chest and back (e.g. compromised mobility) * Patients on mechanical ventilation * Patients unwilling or unable to provide informed consent
Where it's running
-
P. D. Hinduja Hospital and Medical Research Centre
Mumbai, Maharashtra, India Recruiting
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.