| Single-Trial Estimation and Analysis of PVEP Based on Independent Component Analysis |
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| 作者姓名： | 洪波 杨福生 潘映辐 唐庆玉 陈奎 铁艳梅 |
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| 作者单位： | HONG Bo，YANG Fusheng，PAN Yingfu TANG Qingyu CHEN Kui，TIE Yanmei Department of Electrical Engineering，Tsinghua University，Beijing 100084，China; Beijing Friendship Hospital，Beijing 100050，China |
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| 基金项目： | Supported by the National Natural Science Foundation of China( No.5 993 7160 ) |
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| 摘 要： | IntroductionPattern- reversal visual evoked potential(PVEP) iswidely used in clinical diagnosis and surgery,because it can reflect the result of the visualprocess consisting of light perception at theretinal,transmittance along the visual pathways,and the final cortical presentation. In practice,thePVEP is a transient signal contaminated by theongoing background electroencephalograph(EEG)and othernoiseswith poorsignalto noise ratio. Toobtain a clear PVEP complex,the ensembleaveraging met…
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Single-Trial Estimation and Analysis of PVEP Based on Independent Component Analysis |
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| Abstract: | A novel method based on the extended infomax approach of independent component analysis (ICA) is proposed for the single trial estimation of multi channel pattern reversal visual evoked potential (PVEP). The clinical applications illustrate the encouraging performance of the method. The number of trials needed is reduced to 3, but the estimated VEP complex is clearer than that obtained by conventional ensemble averaging with 50 trials. By analyzing the time course and spatial pattern of the independent components (ICs) of the multi channel PVEP, one component is found to be reasonably related to the P100 peak. |
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| Keywords: | independent component analysis pattern reversal visual evoked potential (PVEP) single trial estimation P100 peak1 |
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