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Diagnosis of Epilepsy in Patients Based on the Classification of EEG Signals Using Fast Fourier Transform

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Current Approaches in Applied Artificial Intelligence (IEA/AIE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9101))

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Abstract

The brain signals of human or animal is recorded from many sensors placed on the scalp, called EEG signals. Based on this signal, many brain diseases which occur in human and animal is simply found and prevented. A popular brain disease is epileptic seizure. Nowadays, many scientists use the different methods to recognize abnormal activities of the brain functionality, thence diagnosis of epilepsy is easier. In this paper, we propose a way to detect seizure in human. Fast Fourier transform is used to convert the EEGs signals into the simpler form, remove some noises and get better features.

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Author information

Authors and Affiliations

  1. Department of Electronics and Computer Engineer, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 500-757, Korea

    Thao Nguyen Thieu & Hyung-Jeong Yang

Authors
  1. Thao Nguyen Thieu
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  2. Hyung-Jeong Yang
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Corresponding author

Correspondence to Hyung-Jeong Yang .

Editor information

Editors and Affiliations

  1. Texas State University, San Marcos, Texas, USA

    Moonis Ali

  2. Dongguk University, Seoul, Korea, Republic of (South Korea)

    Young Sig Kwon

  3. Dongguk University, Seoul, Korea, Republic of (South Korea)

    Chang-Hwan Lee

  4. Dongguk University, Seoul, Korea, Republic of (South Korea)

    Juntae Kim

  5. Seoul National University, Seoul, Korea, Republic of (South Korea)

    Yongdai Kim

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Thieu, T.N., Yang, HJ. (2015). Diagnosis of Epilepsy in Patients Based on the Classification of EEG Signals Using Fast Fourier Transform. In: Ali, M., Kwon, Y., Lee, CH., Kim, J., Kim, Y. (eds) Current Approaches in Applied Artificial Intelligence. IEA/AIE 2015. Lecture Notes in Computer Science(), vol 9101. Springer, Cham. https://doi.org/10.1007/978-3-319-19066-2_48

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  • DOI: https://doi.org/10.1007/978-3-319-19066-2_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19065-5

  • Online ISBN: 978-3-319-19066-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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