Skip to main content
Top

2016 | OriginalPaper | Chapter

Automatic ECG Image Classification Using HOG and RPC Features by Template Matching

Authors : V. Rathikarani, P. Dhanalakshmi, K. Vijayakumar

Published in: Proceedings of the Second International Conference on Computer and Communication Technologies

Publisher: Springer India

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

search-config
loading …

Abstract

Cardiac disease is the most dangerous killer all over the world. Electrocardiogram plays a significant role for cardiac disease diagnosis. In this work with the advent of image processing technology, a confirmative tool is developed for heart disease diagnosis. The proposed work demonstrates an automatic classification system of ECG images using Histogram of Oriented Gradients (HOG) and Row Pixel Count (RPC) features. The intention of this work is to classify three major types of cardiac diseases namely Arrhythmia, Myocardial Infarction, and Conduction Blocks by template matching. The experiments were conducted on the Physiobank dataset of both normal and abnormal patients. A comparison is made for the experimental results obtained using HOG and RPC, and the performance is studied. The HOG gives a better performance of 94.0 % accuracy.

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!

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!

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!

Literature
1.
go back to reference Chugh, S.N.: Textbook of Clinical Electrocardiography, 2nd edn. Jaypee Publications Chugh, S.N.: Textbook of Clinical Electrocardiography, 2nd edn. Jaypee Publications
2.
go back to reference Mahalakshmi, T., Muthaiah, R., Swaminathan, P.: Review article: an overview of template matching technique in image processing. Res. J. Appl. Sci. Eng. Technol. 4(24), 5469–5473 (2012) Mahalakshmi, T., Muthaiah, R., Swaminathan, P.: Review article: an overview of template matching technique in image processing. Res. J. Appl. Sci. Eng. Technol. 4(24), 5469–5473 (2012)
3.
go back to reference Rathikarani, V., Dhanalakshmi, P.: Automatic classification of ECG signal for identifying arrhythmia. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3, 205–211 (2013) Rathikarani, V., Dhanalakshmi, P.: Automatic classification of ECG signal for identifying arrhythmia. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3, 205–211 (2013)
Metadata
Title
Automatic ECG Image Classification Using HOG and RPC Features by Template Matching
Authors
V. Rathikarani
P. Dhanalakshmi
K. Vijayakumar
Copyright Year
2016
Publisher
Springer India
DOI
https://doi.org/10.1007/978-81-322-2526-3_13