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A Discrete-Wavelet-Transform- and Hidden-Markov-Model-Based Approach for Epileptic Focus Localization

A Discrete-Wavelet-Transform- and Hidden-Markov-Model-Based Approach for Epileptic Focus Localization

Deba Prasad Dash, Maheshkumar .H Kolekar
Copyright: © 2018 |Pages: 12
ISBN13: 9781522528296|ISBN10: 1522528296|EISBN13: 9781522528302
DOI: 10.4018/978-1-5225-2829-6.ch003
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MLA

Dash, Deba Prasad, and Maheshkumar .H Kolekar. "A Discrete-Wavelet-Transform- and Hidden-Markov-Model-Based Approach for Epileptic Focus Localization." Biomedical Signal and Image Processing in Patient Care, edited by Maheshkumar H. Kolekar and Vinod Kumar, IGI Global, 2018, pp. 34-45. https://doi.org/10.4018/978-1-5225-2829-6.ch003

APA

Dash, D. P. & Kolekar, M. .. (2018). A Discrete-Wavelet-Transform- and Hidden-Markov-Model-Based Approach for Epileptic Focus Localization. In M. Kolekar & V. Kumar (Eds.), Biomedical Signal and Image Processing in Patient Care (pp. 34-45). IGI Global. https://doi.org/10.4018/978-1-5225-2829-6.ch003

Chicago

Dash, Deba Prasad, and Maheshkumar .H Kolekar. "A Discrete-Wavelet-Transform- and Hidden-Markov-Model-Based Approach for Epileptic Focus Localization." In Biomedical Signal and Image Processing in Patient Care, edited by Maheshkumar H. Kolekar and Vinod Kumar, 34-45. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2829-6.ch003

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Abstract

Epilepsy is the most common neurological disorder with 40-50 million people suffering with it worldwide. Epilepsy is not life threatening but it disables the person to a greater extent due to its uncertainty of occurrences. Epilepsy is detected by repeated occurrences of seizure. Seizure can be generated in brain due to abnormal activity of group of neurons caused by brain tumor, genetic problem, infection, hemorrhage etc. Seizure can be detected by observing the variation in Electroencephalogram (EEG) signal. Focal seizure is defined as seizure localized in one lobe of brain. In this chapter discrete wavelet transform and Hidden Markov Model based focal seizure detection method is proposed for epileptic focus localization. EEG signal was decomposed up to level 5 using dual tree complex wavelet transform and entropy features such as collision entropy, minimum and modified sample entropy were extracted. Hidden Markov model was used for classification purpose. Maximum 80% accuracy was achieved in detecting focal and non-focal EEG signal.

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