The application of computerized WCST and long-term evoked potentials for schizophrenia analysis.

Min Wei Huang; Pei Yu Lo; Chien Hung Chen; Cheng Yu Chen; Kuo Sheng Cheng

The application of computerized WCST and long-term evoked potentials for schizophrenia analysis.

Min Wei Huang, Pei Yu Lo, Chien Hung Chen, Cheng Yu Chen, Kuo Sheng Cheng

Department of Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

The purpose of this study is to characterize the cognitive functions of schizophrenic patients using different auditory and visual event-related potentials (ERPs) based on Wisconsin card sorting test (WCST). From the experimental results, it is indicated that there is a slowness of automatic cognitive processing and controlled cognitive processing during WCST in comparison with ERPs for schizophrenic patients.

Original language	English
Pages (from-to)	5165-5168
Number of pages	4
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Publication status	Published - 2006

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Signal Processing
Biomedical Engineering
Health Informatics

Cite this

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title = "The application of computerized WCST and long-term evoked potentials for schizophrenia analysis.",

abstract = "The purpose of this study is to characterize the cognitive functions of schizophrenic patients using different auditory and visual event-related potentials (ERPs) based on Wisconsin card sorting test (WCST). From the experimental results, it is indicated that there is a slowness of automatic cognitive processing and controlled cognitive processing during WCST in comparison with ERPs for schizophrenic patients.",

author = "Huang, {Min Wei} and Lo, {Pei Yu} and Chen, {Chien Hung} and Chen, {Cheng Yu} and Cheng, {Kuo Sheng}",

year = "2006",

language = "English",

pages = "5165--5168",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "1557-170X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

The application of computerized WCST and long-term evoked potentials for schizophrenia analysis. / Huang, Min Wei; Lo, Pei Yu; Chen, Chien Hung et al.
In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2006, p. 5165-5168.

Research output: Contribution to journal › Article › peer-review

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T1 - The application of computerized WCST and long-term evoked potentials for schizophrenia analysis.

AU - Huang, Min Wei

AU - Lo, Pei Yu

AU - Chen, Chien Hung

AU - Chen, Cheng Yu

AU - Cheng, Kuo Sheng

PY - 2006

Y1 - 2006

N2 - The purpose of this study is to characterize the cognitive functions of schizophrenic patients using different auditory and visual event-related potentials (ERPs) based on Wisconsin card sorting test (WCST). From the experimental results, it is indicated that there is a slowness of automatic cognitive processing and controlled cognitive processing during WCST in comparison with ERPs for schizophrenic patients.

AB - The purpose of this study is to characterize the cognitive functions of schizophrenic patients using different auditory and visual event-related potentials (ERPs) based on Wisconsin card sorting test (WCST). From the experimental results, it is indicated that there is a slowness of automatic cognitive processing and controlled cognitive processing during WCST in comparison with ERPs for schizophrenic patients.

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M3 - Article

C2 - 17945881

SN - 1557-170X

SP - 5165

EP - 5168

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

ER -

The application of computerized WCST and long-term evoked potentials for schizophrenia analysis.

Abstract

All Science Journal Classification (ASJC) codes

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