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An Automatic Prediction of Epileptic Seizures Using Cloud Computing and Wireless Sensor Networks

  • Patient Facing Systems
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Abstract

Epilepsy is one of the most common neurological disorders which is characterized by the spontaneous and unforeseeable occurrence of seizures. An automatic prediction of seizure can protect the patients from accidents and save their life. In this article, we proposed a mobile-based framework that automatically predict seizures using the information contained in electroencephalography (EEG) signals. The wireless sensor technology is used to capture the EEG signals of patients. The cloud-based services are used to collect and analyze the EEG data from the patient’s mobile phone. The features from the EEG signal are extracted using the fast Walsh-Hadamard transform (FWHT). The Higher Order Spectral Analysis (HOSA) is applied to FWHT coefficients in order to select the features set relevant to normal, preictal and ictal states of seizure. We subsequently exploit the selected features as input to a k-means classifier to detect epileptic seizure states in a reasonable time. The performance of the proposed model is tested on Amazon EC2 cloud and compared in terms of execution time and accuracy. The findings show that with selected HOS based features, we were able to achieve a classification accuracy of 94.6 %.

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Acknowledgments

The authors heartily thank Dr. Ashok Uppal for his expert advice and in evaluating the accuracy of results proposed by our proposed system.

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Authors and Affiliations

  1. Computer Section, Guru Nanak Dev University, Amritsar, Punjab, India

    Sanjay Sareen

  2. I. K. Gujral Punjab Technical University, Kapurthala, Punjab, India

    Sanjay Sareen

  3. Department of Computer Science and Engineering, Guru Nanak Dev University, Regional Campus, Gurdaspur, Punjab, India

    Sandeep K. Sood

  4. Department of Computer Science and Engineering, Beant College of Engineering and Technology, Gurdaspur, Punjab, India

    Sunil Kumar Gupta

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  1. Sanjay Sareen
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Correspondence to Sanjay Sareen.

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Sareen, S., Sood, S.K. & Gupta, S.K. An Automatic Prediction of Epileptic Seizures Using Cloud Computing and Wireless Sensor Networks. J Med Syst 40, 226 (2016). https://doi.org/10.1007/s10916-016-0579-1

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