Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks

Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect t...

詳細記述

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書誌詳細
主要な著者: Abualsaud, Khalid, Mahmuddin, Massudi, Saleh, Mohammad, Mohamed, Amr
フォーマット: Conference or Workshop Item
言語:English
出版事項: 2014
主題:
オンライン・アクセス:http://repo.uum.edu.my/15062/1/0091aiccsa2014.pdf
http://repo.uum.edu.my/15062/
http://cse.qu.edu.qa/aiccsa2014/
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