Active — Not RecruitingNot Applicable

Data Collection For Adventitious Lung Sounds Algorithm Using Eko Digital Devices in a Clinical Setting

United States750 participantsStarted 2024-08-23

Plain-language summary

The purpose of this research is to collect patient lung sounds in order to develop an artificial machine learning algorithm that can potentially tell a doctor if a patient is at risk of certain lung conditions.

Who can participate

Age range18 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * 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 (18 years or older) Exclusion Criteria: * Unable to have multiple recordings taken on chest and back (e.g. compromised mobility) * On mechanical ventilation

What they're measuring

Lung Sounds Collected from Number of Patients

Timeframe: Through study completion, an average of 8 months

Trial details

NCT IDNCT07360522

SponsorEko Devices, Inc.

Sponsor typeINDUSTRY

Study typeOBSERVATIONAL

Primary completion2025-07-21

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