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- Upadhyaya Prajna
- Yagi Laboratory, Tokyo Institute of Technology
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- Bairy G. Muralidhar
- Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education
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- Yagi Tohru
- Yagi Laboratory, Tokyo Institute of Technology
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抄録
<p>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 into 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. Features from the decomposed signals are extracted using fuzzy approximation entropy, Higuchi's fractal dimension and correlation dimension. Classification accuracy of 87.68% and 84.45% was obtained using K nearest neighbor (KNN) and support vector machine (SVM) classifiers respectively.</p>
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 139 (5), 609-614, 2019-05-01
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001288135310720
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- NII論文ID
- 130007641456
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 029719716
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可