# The electronic stethoscope

**Authors:** Shuang Leng, Ru San Tan, Kevin Tshun Chuan Chai, Chao Wang, Dhanjoo Ghista, Liang Zhong

PMC · DOI: 10.1186/s12938-015-0056-y · BioMedical Engineering OnLine · 2015-07-10

## TL;DR

This paper explores how electronic stethoscopes and computer-aided systems can improve heart sound analysis for diagnosing heart diseases.

## Contribution

The paper provides a comprehensive review of electronic stethoscope technology and computer-aided diagnosis methodologies.

## Key findings

- Electronic stethoscopes can enhance heart sound analysis for early diagnosis of cardiac dysfunction.
- The paper details key components like sensor design, denoising algorithms, and machine learning techniques.
- It offers insights for developing real-time heart sound detection systems for clinical use.

## Abstract

Most heart diseases are associated with and reflected by the sounds that the heart produces. Heart auscultation, defined as
listening to the heart sound, has been a very important method for the early diagnosis of cardiac dysfunction. Traditional auscultation requires substantial clinical experience and good listening skills. The emergence of the electronic stethoscope has paved the way for a new field of computer-aided auscultation. This article provides an in-depth study of (1) the electronic stethoscope technology, and (2) the methodology for diagnosis of cardiac disorders based on computer-aided auscultation. The paper is based on a comprehensive review of (1) literature articles, (2) market (state-of-the-art) products, and (3) smartphone stethoscope apps. It covers in depth every key component of the computer-aided system with electronic stethoscope, from sensor design, front-end circuitry, denoising algorithm, heart sound segmentation, to the final machine learning techniques. Our intent is to provide an informative and illustrative presentation of the electronic stethoscope, which is valuable and beneficial to academics, researchers and engineers in the technical field, as well as to medical professionals to facilitate its use clinically. The paper provides the technological and medical basis for the development and commercialization of a real-time integrated heart sound detection, acquisition and quantification system.

## Full-text entities

- **Diseases:** volume overload of (MESH:D019190), Murmur (MESH:D006337), cardiovascular disease (MESH:D002318), ALE (MESH:C564835), death (MESH:D003643), Mitral valve prolapse (MESH:D008945), AR (MESH:D001022), PS (MESH:D011666), PR (MESH:D008151), ELM (MESH:D007859), noise (MESH:D014012), STFT (MESH:D000377), LMS (MESH:D009800), HF (MESH:D006316), tremor (MESH:D014202), Hypertrophic cardiomyopathy (MESH:D002312), MS (MESH:D008946), cardiac illnesses (MESH:D006331), TS (MESH:D014264), pneumonia (MESH:D011014), overweight (MESH:D050177), S-NLMS (MESH:D018455), MP (MESH:D015835), AS (MESH:D001024), MEMS (MESH:C536681), arteriovenous fistula stenosis (MESH:D001164), Pulmonary regurgitation (MESH:D011665), NLMS (MESH:C537354), asthma (MESH:D001249), VSD (MESH:D006345), respiratory conditions (MESH:D012131), SIANC (MESH:D012640), HS (MESH:D012135), systole (MESH:D000092244), AS-MR (MESH:D008944), PDA (MESH:D004374), Tricuspid regurgitation (MESH:D014262), heart failure (MESH:D006333), MVP (OMIM:157700), NM (MESH:C536816), ventricles (MESH:D002551), CMOS (MESH:D013651), obese (MESH:D009765), heart pathological conditions (MESH:D020763), cardiac and valvular disorders (MESH:C535576), VHD (MESH:D006349), coronary artery disease (MESH:D003324), EEMD (MESH:C537734)
- **Chemicals:** CSA (-), NA (MESH:D012964)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** S2 — Drosophila melanogaster (Fruit fly), Spontaneously immortalized cell line (CVCL_Z232)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC4496820/full.md

## Figures

14 figures with captions in the complete paper: https://tomesphere.com/paper/PMC4496820/full.md

## References

98 references — full list in the complete paper: https://tomesphere.com/paper/PMC4496820/full.md

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Source: https://tomesphere.com/paper/PMC4496820