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

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Proceedings of the Second International Conference on Computer and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 381))

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.

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References

  1. Chugh, S.N.: Textbook of Clinical Electrocardiography, 2nd edn. Jaypee Publications

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Annamalai University, Annamalai Nagar, Chidambaram, India

    V. Rathikarani & P. Dhanalakshmi

  2. Department of Library and Information Science, Annamalai University, Annamalai Nagar, Chidambaram, India

    K. Vijayakumar

Authors
  1. V. Rathikarani
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  2. P. Dhanalakshmi
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  3. K. Vijayakumar
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Corresponding author

Correspondence to V. Rathikarani .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Electronics and Communication, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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© 2016 Springer India

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Cite this paper

Rathikarani, V., Dhanalakshmi, P., Vijayakumar, K. (2016). Automatic ECG Image Classification Using HOG and RPC Features by Template Matching. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 381. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2526-3_13

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  • DOI: https://doi.org/10.1007/978-81-322-2526-3_13

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2525-6

  • Online ISBN: 978-81-322-2526-3

  • eBook Packages: EngineeringEngineering (R0)

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