Using deep learning to detect pulmonary hypertension with a digital stethoscope and ECG.

Deep learning for algorithmic detection of pulmonary hypertension using a combined digital stethoscope and single-lead electrocardiogram

NIH-funded research Eko Devices, INC. · NIH-10930932

This study is working on a smart computer program that uses sounds from a digital stethoscope and heart readings to help find pulmonary hypertension early, making it easier for patients to get the care they need without uncomfortable tests.

Quick facts

Grant typeSbir 2 grant
Study typeNIH-funded research
Funding institutionEko Devices, INC. NIH-funded
Lab location1 site (Oakland, United States)
Project IDNIH-10930932 on NIH RePORTER

What this research studies

This research aims to develop a deep learning algorithm that can screen and detect pulmonary hypertension (PH) using data from a digital stethoscope and electrocardiogram (ECG). The Eko DUO device records phonocardiogram and ECG data, which is then analyzed by the algorithm to identify patients who may have PH. By creating a database of matched recordings and testing the algorithm, the goal is to improve early diagnosis and treatment of this condition, which is often missed due to the invasive nature of traditional diagnostic methods.

Who could benefit from this research

Good fit: Ideal candidates for this research are adults who may be at risk for pulmonary hypertension and require screening.

Not a fit: Patients who are under 21 years old or those who have already been diagnosed with pulmonary hypertension may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to earlier and more accurate diagnoses of pulmonary hypertension, improving treatment outcomes for patients.

How similar studies have performed: Other research has shown promise in using digital tools and algorithms for early detection of various conditions, suggesting potential success for this approach.

Where this research is happening

Oakland, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.