A comparative study on Discrete Wavelet Transform and Wavelet Packet Decomposition to detect Focal Epilepsy

カテゴリ: 部門大会

論文No: SS2-10

グループ名: 【C】平成30年電気学会電子・情報・システム部門大会プログラム

発行日: 2018/09/05

タイトル(英語): A comparative study on Discrete Wavelet Transform and Wavelet Packet Decomposition to detect Focal Epilepsy

著者名: Upadhyaya Prajna(東京工業大学),Bairy Muralidhar G.(Manipal Institute of Technology),Yagi Tohru(東京工業大学)

著者名(英語): Prajna Upadhyaya|Muralidhar G.Bairy|Tohru Yagi

キーワード: てんかん|局所性てんかん|脳波|離散ウェーブレット変換|ウェーブレットパケット分解|Epilepsy|Focal Epilepsy|EEG|Discrete Wavelet Transform|Wavelet Packet Decomposition

要約(日本語): Epilepsy is a neurological disorder that occurs due to the abnormal electrical discharges in the brain thus affecting the patient’s personality, behavior and day to day routine. Epilepsy can be broadly classified in to generalized epilepsy and focal epilepsy. Focal epilepsy occurs due to abnormal electrical discharges in the smaller section of the brain. These electrical discharges later spread to the larger part of the brain resulting in generalized epilepsy. In this paper, a computer-aided diagnostic system is proposed to detect the focal epilepsy using Electroencephalogram (EEG) signals. It also provides a comparative study on the results obtained using two decomposition techniques namely: Discrete Wavelet Transform (DWT) and Wavelet Packet Decomposition (WPD).

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