Detection of multiple sclerosis with visual evoked potentials - an unsupervised computational intelligence system.
This paper describes the application of a novel unsupervised pattern recognition system to the classification of the visual evoked potentials (VEPs) of normal and multiple sclerosis (MS) patients. The method combines a traditional statistical feature extractor with a fuzzy clustering method, all imp...
| 出版年: | IEEE Transactions on information technology in biomedicine 4, 3 (2000). |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 主題: |