NIH-funded research Sbir 2 grant

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

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

Funded at Eko Devices, INC. · NIH-10930932 · Data updated 2026-11-12

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 startSeptember 25, 2022
Project endAugust 31, 2025
Funding year2024
Award (this year)$1,108,862
NIH project number5R44HL166025-03
Project IDNIH-10930932 on NIH RePORTER

Who could benefit from this research

Could help

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

Less likely to help

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

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.

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 gone: 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

  • Eko Devices, INC.
    Oakland, United States
    Active

Researchers

  • Principal investigator: Venkatraman, Subramaniam — Eko Devices, INC.
  • Study coordinator: Venkatraman, Subramaniam

Related research

Other NIH-funded projects on the same topics.

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.
Last reviewed 2026-11-14 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.