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

Running, not enrolling

Conditions studied: Lung Diseases

In brief

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.

Key facts

Study ID

NCT07360522

Run by

Eko Devices, Inc.

People needed

750

Starts

2024-08-23

Expected to finish

2027-11-30

Last updated by the study team

2026-05-26

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• 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)

You may not qualify if…

• Unable to have multiple recordings taken on chest and back (e.g. compromised mobility)
• On mechanical ventilation

Where it is running

• Care United Research — Forney, Texas, United States

Full record on ClinicalTrials.gov

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