Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Artificial Intelligence (AI) for Dental Intraoral Film Mounting Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Arrhythmia Detection Using Curve Fitting and Machine Learning

Authors : Po-Chuan Chiu, Han-Chien Cheng, Shu-Nung Yao

Published in: Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Electrocardiogram (ECG) is a graph that depicts blood circulation through the heart. ECG is also used for depicting the state of health of an individual and is helpful in disease diagnosis. The target of this work is to check the application of curve fitting on ECG signals based on the Fourier series analysis method. When ECG signals are approximated by the Fourier series model, the fitting for the cardiac cycle is used for judging arrhythmias. The data used here was sourced from the MIT-BIH arrhythmia database, and only ECG recordings were utilized for the purpose of this study. The study has presented efficient methods for signal identification with the help of fitting parameters and ECG classification.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Promises and Challenges in the Use of Wearable Sensors and Nonlinear Signal Analysis for Balance and Fall Risk Assessment in Older Adults
next chapter Combining Multi-classifier with CNN in Detection and Classification of Breast Calcification
Literature
1.
Kubicek, J., Penhaker, M., Kahankova, R.: Design of a synthetic ECG signal based on the fourier series. In: Proceedings of IEEE 2014 International Conference on Advances in Computing, Communications and Informatics, New Delhi, India, pp. 1881–1885 (2014)
2.
He, C., Li, W., Chik, D.: Waveform compensation of ECG data using segment fitting functions for individual identification. In: 2017 13th International Conference on Computational Intelligence and Security (CIS), Hong Kong, pp. 475–479 (2017)
3.
Tavakoli, V., Sahba, N., Hajebi, N.: A fast and accurate method for arrhythmia detection. In: Proceedings of IEEE 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, pp. 1897–1900 (2009)
4.
Rahman, M., Nasor, M.: An algorithm for detection of arrhythmia. In: Proceedings IEEE 2011 1st Middle East Conference on Biomedical Engineering, Sharjah, United Arab Emirates, pp. 243–246 (2011)
5.
Ahmed, R., Arafat, S.: Cardiac arrhythmia classification using hierarchical classification model. In: Proceedings of IEEE 2014 6th International Conference on Computer Science and Information Technology, Amman, pp. 203–207 (2014)
6.
Chen, H., Wang, C., Chen, T., Zhao, X.: Feature selecting based on fourier series fitting. In: Proceedings of IEEE 2017 8th IEEE International Conference on Software Engineering and Service Science, Beijing, pp. 241–244 (2017)
7.
Chen, H.C., Chen, S.W.: A moving average based filtering system with its application to real-time QRS detection. In: Proceedings of IEEE 2003 Computers in Cardiology, Thessaloniki Chalkidiki, Greece, pp. 585–588 (2003)
8.
Rouhani, M., Soleymani, R.: Neural networks based diagnosis of heart arrhythmias using chaotic and nonlinear features of HRV signals. In: Proceedings of IEEE 2009 International Association of Computer Science and Information Technology - Spring Conference, Singapore, pp. 545–549 (2009)
9.
Dewangan, N.K., Shukla, S.P.: ECG arrhythmia classification using discrete wavelet transform and artificial neural network. In: Proceedings of IEEE 2016 International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), Bangalore, pp. 1892–1896 (2016)
Metadata
Title
Arrhythmia Detection Using Curve Fitting and Machine Learning
Authors
Po-Chuan Chiu
Han-Chien Cheng
Shu-Nung Yao
Copyright Year
2020
Book
Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices

Print ISBN: 978-3-030-30635-9

Electronic ISBN: 978-3-030-30636-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-30636-6_41