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An Approach Based on Information Theory for Selection of Systems for Efficient Recording of Electrogastrograms

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Proceedings of the International Conference on Computing and Communication Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 24))

Abstract

Electrogastrograms (EGG) are electrical patterns or signals which are generated by the stomach muscles and the amplitude of these signals increase after meals. These signals can be used to diagnose several digestive disorders and are recorded noninvasively using surface electrodes. In this work, a two electrode and a three electrode EGG recording system have been designed and developed for measurement of EGG signals. Further, the efficiency and performance of the developed systems are compared using tools based on the Information theory. The information content of the recorded EGG signals has been analyzed using Renyi Entropy calculated at three different α values (α = 0.2, α = 0.5, and α = 0.8). Results demonstrate that the entropy of EGG signals acquired using the three electrode system is higher when compared to the signals acquired using the two electrode system. It is observed that the Information content of EGG signals acquired using three electrode system is higher when compared to the two electrode system. This work appears to be of high clinical relevance, since the accurate measurement of EGG signals without loss in its information content, is highly useful for diagnosis of digestive abnormalities.

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Authors and Affiliations

  1. Department of Instrumentation Engineering, MIT Campus, Anna University, Chennai, 600044, India

    Paramasivam Alagumariappan & Kamalanand Krishnamurthy

Authors
  1. Paramasivam Alagumariappan
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  2. Kamalanand Krishnamurthy
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Corresponding author

Correspondence to Paramasivam Alagumariappan .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India

    Goutam Saha

  3. Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India

    Debdatta Kandar

  4. Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India

    Arnab Kumar Maji

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Alagumariappan, P., Krishnamurthy, K. (2018). An Approach Based on Information Theory for Selection of Systems for Efficient Recording of Electrogastrograms. In: Mandal, J., Saha, G., Kandar, D., Maji, A. (eds) Proceedings of the International Conference on Computing and Communication Systems. Lecture Notes in Networks and Systems, vol 24. Springer, Singapore. https://doi.org/10.1007/978-981-10-6890-4_45

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  • DOI: https://doi.org/10.1007/978-981-10-6890-4_45

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6889-8

  • Online ISBN: 978-981-10-6890-4

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