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...
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主要な著者: | , , , |
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フォーマット: | Conference or Workshop Item |
言語: | English |
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2014
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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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