NCT07270744

Brief Summary

The main objectives of the study are to: train and validate binary classifiers for wheeze, coarse crackle, fine crackle, rhonchus, stridor, rales, and cough, as well as determine correspondence between type/location of adventitious lung sound and type of pulmonary condition.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
200

participants targeted

Target at P75+ for all trials

Timeline
8mo left

Started Oct 2025

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress48%
Oct 2025Dec 2026

Study Start

First participant enrolled

October 1, 2025

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

November 17, 2025

Completed
21 days until next milestone

First Posted

Study publicly available on registry

December 8, 2025

Completed
10 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2026

Expected
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2026

Last Updated

December 18, 2025

Status Verified

October 1, 2025

Enrollment Period

1 year

First QC Date

November 17, 2025

Last Update Submit

December 10, 2025

Conditions

Keywords

lung soundsadventitious lung soundsabnormal lung sounds

Outcome Measures

Primary Outcomes (1)

  • Primary Objective: Collection of Lung Sound Recordings to Explore Machine Learning Algorithm for Classifying Adventitious Lung Sounds

    The primary objective of this study is to collect normal and abnormal lung sounds of up to 750 patients per study site, by having clinicians use the Eko CORE and/or Eko CORE 500 device(s) in real clinical settings, as part of standard of care clinical practice which will then be used to explore an ML algorithm for classifiers for wheeze, coarse crackle, fine crackle, rhonchus, stridor, rales, and cough.

    14-15 months

Interventions

Use of the Eko CORE 500 digital stethoscope and 3M Littmann CORE Digital Stethoscope to listen for and record lung sounds.

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Potential research subjects with complaints of shortness of breath or relevant diagnoses like COPD/heart failure/asthma will be screened for eligibility from the upcoming clinic schedule and then recruited during their clinical appointment. Inpatients may also be identified from the EHR and recruited from inpatient units. In order to achieve the harder-to-fill buckets, it may be necessary to directly target existing registries or patient databases, and/or bring patients in for a research-specific visit. Additionally, patients seen in clinic or in hospital with no known respiratory condition will be recruited and evaluated.

You may qualify if:

  • 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

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

P. D. Hinduja Hospital and Medical Research Centre

Mumbai, Maharashtra, 400016, India

RECRUITING

MeSH Terms

Conditions

Lung DiseasesRespiratory Sounds

Condition Hierarchy (Ancestors)

Respiratory Tract DiseasesSigns and Symptoms, RespiratorySigns and SymptomsPathological Conditions, Signs and Symptoms

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 17, 2025

First Posted

December 8, 2025

Study Start

October 1, 2025

Primary Completion (Estimated)

October 1, 2026

Study Completion (Estimated)

December 31, 2026

Last Updated

December 18, 2025

Record last verified: 2025-10

Data Sharing

IPD Sharing
Will not share

Locations