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https://doi.org/10.1186/s12938-015-0056-y
Title: | The electronic stethoscope | Authors: | Leng, S Tan, R.S Chai, K.T.C Wang, C Ghista, D Zhong, L |
Keywords: | Algorithms Artificial intelligence Cardiology Computer aided instruction Diagnosis Heart Learning systems Signal encoding Smartphones Acoustic techniques Automatic systems Computer-aided systems De-noising algorithm Electronic stethoscope Heart sounds Machine learning techniques Medical professionals Computer aided diagnosis amplifier analog digital converter automation cardiovascular system examination classification computer aided design digital filtering electronic stethoscope equipment design heart auscultation heart disease heart sound heart sound denoising heart sound segmentation human information processing machine learning marketing mobile application mobile phone paramedical personnel phonocardiography priority journal Review sensor electrical equipment signal processing smartphone stethoscope Electrical Equipment and Supplies Heart Sounds Humans Signal Processing, Computer-Assisted Smartphone Stethoscopes |
Issue Date: | 2015 | Citation: | Leng, S, Tan, R.S, Chai, K.T.C, Wang, C, Ghista, D, Zhong, L (2015). The electronic stethoscope. BioMedical Engineering Online 14 (1) : 66. ScholarBank@NUS Repository. https://doi.org/10.1186/s12938-015-0056-y | Rights: | Attribution 4.0 International | 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. © 2015 Leng et al. | Source Title: | BioMedical Engineering Online | URI: | https://scholarbank.nus.edu.sg/handle/10635/181444 | ISSN: | 1475925X | DOI: | 10.1186/s12938-015-0056-y | Rights: | Attribution 4.0 International |
Appears in Collections: | Staff Publications Elements |
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