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Advances in Distributed Computing and Machine Learning pp 481–490Cite as

Epileptic Seizure Detection from Multivariate Temporal Data Using Gated Recurrent Unit

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 127))

Abstract

The advancement in sensor and satellite technologies, biomedical informatics, climate informatics, and health care has led to the emergence of multivariate temporal data. Multivariate temporal data contains multiple time series with complex temporal behaviors. Mining Knowledge from such complex data remains challenging area of research. This paper primarily focuses on developing temporal decision support system in medical (TDSSM) to detect epileptic seizure from multivariate temporal data. This work uses deep neural networks to build temporal classification model for epileptic seizure detection. The temporal model for epilepsy seizure detection is constructed by training the gated recurrent unit using multivariate temporal dependencies of time series observations acquired from the EEG recording of 500 individuals.

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Authors and Affiliations

  1. Madras Institute of Technology, Anna University, Chennai, India

    Saranya Devi Jeyabalan & Nancy Jane Yesudhas

Authors
  1. Saranya Devi Jeyabalan
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  2. Nancy Jane Yesudhas
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Corresponding author

Correspondence to Saranya Devi Jeyabalan .

Editor information

Editors and Affiliations

  1. Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Asis Kumar Tripathy

  2. San Diego State University, San Diego, CA, USA

    Mahasweta Sarkar

  3. Institute of Technical Education and Research (ITER), Siksha ‘O’ Anusandhan (SOA) Deemed to be University, Bhubaneswar, Odisha, India

    Jyoti Prakash Sahoo

  4. Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Suchismita Chinara

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Jeyabalan, S.D., Yesudhas, N.J. (2021). Epileptic Seizure Detection from Multivariate Temporal Data Using Gated Recurrent Unit. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_47

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