Abstract
Cardiovascular diseases (CVD) are one of the main causes of death and disability in most countries of the world. However, most countries do not currently have a comprehensive mass identification of risk factors and an overall assessment of the risk of developing CVD. Most heart diseases are related and are reflected by the sounds that the heart produces. Auscultation of the heart, defined as listening to the sound of the heart, was a very important method for early diagnosis of cardiac dysfunction. In this case, phonocardiogram (PCG) records heart sounds and noises that contain significant information about heart health. Analysis of the PCG signal has the potential to detect an abnormal heart condition. Traditional auscultation requires significant clinical experience and good listening skills. The advent of the electronic stethoscope paved the way for a new field of computer auscultation. This article discusses in detail the technology of an electronic stethoscope and the method of diagnosing heart rhythm disorders based on computer auscultation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cardiovascular Diseases. https://www.who.int/health-topics/cardiovascular-diseases/#tab=tab_1. Retrieved from www.who.int
Leng, S., Tan, R.S., Chai, K.T.C., et al.: The electronic stethoscope. BioMed. Eng. OnLine 14, 66 (2015). https://doi.org/10.1186/s12938-015-0056-y
Molcer, P.S., Kecskes, I., Delic, V., Domijan, E., Domijan, M.: Examination of formant frequencies for further classification of heart murmurs. In: Proceedings of the International Symposium on Intelligent Systems and Informatics, pp. 575–578 (2010)
How is heart disease diagnosed? http://www.nhlbi.nih.gov/health/health-topics/topics/hdw/diagnosis.html. Accessed 30 Mar 2015
Zhong, L., Zhang, J.M., Zhao, X.D., Tan, R.S., Wan, M.: Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool. PLoS ONE 9(4), (2014)
Tan, M.L., Su, Y., Lim, C.W., Selvaraj, S.K., Zhong, L., Tan, R.S.: A geometrical approach for automatic shape restoration of the left ventricle. PLoS ONE 8(7), (2013)
Lim, C.W., et al.: Automatic 4D reconstruction of patient-specific cardiac mesh with 1-to-1 vertex correspondence from segmented contours lines. PLoS ONE 9(4), (2013)
Cui, H.F., et al.: Coronary artery segmentation via hessian filter and curve skeleton extraction. In: Proceeding of 36th International Conference IEEE Engineering in Medicine and Biology Society (EMBS) (2014)
Cardiovascular diseases (CVDs). http://www.who.int/mediacentre/factsheets/fs317/en/. Retrieved from www.who.int
Omarov, B., et al.: Applying face recognition in video surveillance security systems. In: Mazzara, M., Bruel, J.-M., Meyer, B., Petrenko, A. (eds.) TOOLS 2019. LNCS, vol. 11771, pp. 271–280. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29852-4_22
Maitra, S., Dutta, D.: A systemic review on the technological development in the field of phonocardiogram. In: 2019 Devices for Integrated Circuit (DevIC), pp. 161–166. IEEE, March 2019
Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring (2019). https://www.mdpi.com/1424–8220/19/12/2781/htm
Debbal, S.M.: Computerized Heart Sounds Analysis, Discrete Wavelet Transforms - Biomedical Applications, Hannu Olkkonen, IntechOpen, 12 September 2011. https://doi.org/10.5772/23700, https://www.intechopen.com/books/discrete-wavelet-transforms-biomedical-applications/computerized-heart-sounds-analysis
Dia, N., Fontecave-Jallon, J., Gumery, P.Y., Rivet, B.: Heart rate estimation from phonocardiogram signals using non-negative matrix factorization. In: ICASSP 2019–2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1293–1297. IEEE, May 2019
Banerjee, R., et al.: Time-frequency analysis of phonocardiogram for classifying heart disease. In: 2016 Computing in Cardiology Conference (CinC), pp. 573–576. IEEE, September 2016
Durand, L.G., Pibarot, P.: Most recent advancements in digital signal processing of the phonocardiogram. Critical Reviews™ Biomed. Eng. 45, 1–6 (2017)
Clifford, G.D., et al.: Recent advances in heart sound analysis. Physiol. Meas. 38(8), E10–E25 (2017)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Omarov, B. et al. (2021). Electronic Stethoscope for Heartbeat Abnormality Detection. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2020. Lecture Notes in Computer Science(), vol 12608. Springer, Cham. https://doi.org/10.1007/978-3-030-74717-6_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-74717-6_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-74716-9
Online ISBN: 978-3-030-74717-6
eBook Packages: Computer ScienceComputer Science (R0)