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ORIGINAL RESEARCH article

Front. Digit. Health

Sec. Health Informatics

Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1616334

This article is part of the Research TopicAI in Healthcare: Transforming Clinical Risk Prediction, Medical Large Language Models, and BeyondView all 4 articles

MYSTETH - Home-based Heart Monitoring

Provisionally accepted
  • 1Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India
  • 2Netaji Subhas University of Technology, Delhi, National Capital Territory of Delhi, India
  • 3Molde University College, Molde, Norway

The final, formatted version of the article will be published soon.

Introduction - The MySteth is an intelligent medical tool designed for cardiac disease screening, utilizing either a stethoscope or smartphone to record heart sounds. Normal heart sounds in healthy individuals consist of "lub" and "dub" noises, while murmurs—additional sounds during heartbeats—can indicate cardiac anomalies such as valve dysfunctions and rapid blood flow, categorized as systolic or diastolic. Method - MySteth was developed and tested using heart sounds recorded via smartphone and digital stethoscope. For ensuring the clinical validity of the data, all heart sound samples were meticulously annotated by human experts—super-specialized cardiologists with extensive experience in cardiac diagnostics. To achieve high classification accuracy, MySteth employs a hybrid CNN-LSTM model combined with Linear Predictive Coding (LPC) for preprocessing. The study involves classifying recorded heart sounds into normal heartbeats and murmurs, with murmurs further divided into systolic and diastolic categories. Results - The tool demonstrated an accuracy of 92% in distinguishing normal heartbeats from murmurs, 91% in classifying murmurs into systolic and diastolic types, and 90% in further categorizing systolic murmurs into Ejection Systolic Murmurs (ESM) and Pansystolic Murmurs (PSM). MySteth is accessible and affordable, requiring minimal equipment, as most individuals already own a smartphone, and digital stethoscopes are commonly available. This ease of use facilitates both professional and home-based heart monitoring, especially beneficial in remote areas with limited healthcare access. Discussion - MySteth is an at-home heart diagnostic tool that leverages deep learning to classify heart sounds into normal, ESM, PSM, and diastolic murmurs. Its user-friendly design and minimal hardware requirements ensure broad adoption across various healthcare settings, facilitating timely and accurate preliminary heart investigations. This capability is crucial in combating the global burden of cardiovascular diseases. MySteth's scalability and ease of deployment underscore its potential in early cardiovascular disease diagnosis, particularly in underserved regions, thereby promoting preventive healthcare.

Keywords: Cardiac Disease Screening, Heart Sounds, Murmurs, Systolic Murmurs, diastolic murmurs

Received: 22 Apr 2025; Accepted: 25 Aug 2025.

Copyright: © 2025 Jain, Jain, Mohammad and Aggarwal. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Swati Aggarwal, Molde University College, Molde, Norway

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