Classification of schizophrenia using Genetic Algorithm-Support Vector Machine (GA-SVM)

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题名:	Classification of schizophrenia using Genetic Algorithm-Support Vector Machine (GA-SVM)
作者:	Hiesh, M.-H.;Lam, Andy, Y.-Y.;Shen, C.-P.;Chen, W.;Lin, F.-S.;Sung, H.-Y.;Lin, J.-W.;Chiu, M.-J.;Lai, F.
贡献者:	Department of Information Management, Tunghai University
关键词:	Auditory stimulation;Clinical decision support;Different stages;Event-related potentials;National Taiwan University;Schizophrenia patients;Standard deviation;Statistical analysis methods;Decision support systems;Electrophysiology;Support vector machines;Diseases
日期:	2013-07-03
上传时间:	2014-06-18T06:54:01Z (UTC)
出版者:	Osaka
摘要:	Recently, Event-Related Potential (ERP) has being the most popular method in evaluating brain waves of schizophrenia patients. ERP is one of the electroencephalography (EEG), which is measured the change of brain waves after giving patients certain stimulations instead of resting state. However, with traditional statistical analysis method, both P50 and MMN showed significant difference between controls and patients but not in Gamma band. Gamma band is a 30-50 Hz auditory stimulation which had been suggested may be abnormal in schizophrenia patients. Our data are recruited from 5 schizophrenia patients and 5 controls in National Taiwan University Hospital have been tested with this platform. The results showed that detection rate is 88.24% and we also analyzed the importance of features, including Standard Deviation (SD) and Total Variation (TotalVar) in different stage of wavelet transform. Therefore, this proposed methodology could serve as a valuable clinical decision support for physiologists in evaluating schizophrenia. ? 2013 IEEE.
關聯:	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS,P.6047-6050
显示于类别:	[資訊管理學系所] 會議論文

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