Leng Shuang, Tan Ru San, Chai Kevin Tshun Chuan, Wang Chao, Ghista Dhanjoo, Zhong Liang
National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
Cardiovascular and Metabolic Disorders Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singapore.
Biomed Eng Online. 2015 Jul 10;14:66. doi: 10.1186/s12938-015-0056-y.
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.
大多数心脏病都与心脏产生的声音相关并通过这些声音得以体现。心脏听诊,即听取心音,一直是早期诊断心脏功能障碍的一项非常重要的方法。传统听诊需要丰富的临床经验和良好的听力技巧。电子听诊器的出现为计算机辅助听诊这一全新领域铺平了道路。本文对(1)电子听诊器技术以及(2)基于计算机辅助听诊的心脏疾病诊断方法进行了深入研究。该论文基于对(1)文献文章、(2)市场(最先进的)产品以及(3)智能手机听诊器应用程序的全面综述。它深入涵盖了带有电子听诊器的计算机辅助系统的每个关键组件,从传感器设计、前端电路、降噪算法、心音分割到最后的机器学习技术。我们的目的是提供关于电子听诊器的详实且具说明性的介绍,这对技术领域的学者、研究人员和工程师以及医疗专业人员在临床应用中都具有价值且有益。本文为实时集成的心音检测、采集和量化系统的开发及商业化提供了技术和医学基础。