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An application of autoregressive model to pattern discrimination of brain electrical activity mapping |
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| Authors: | Teruyuki Ogawa Hirotomi Sonoda Shun Ishiwa Yuko Shigeta |
| Affiliation: | (1) Department of Pediatrics, Oita Medical University, Oita, Japan |
| Abstract: | Summary Using the autoregressive model, we developed a method of illustrating significant regional differences between two records of brain electrical activity mapping. This new approach of brain electrical activity mapping analysis through a statistical taxonomy may be clinically useful for evaluation of the normal development of EEG in children and for localizing functional brain abnormality.This study was supported by a Scientific Research Grant (No.02670450) from the Japanese Ministry of Education. |
| Keywords: | Autoregressive analysis Component analysis Pattern discrimination Mahalanobis distance Autoregressive coefficient Brain electrical activity mapping Spectral EEG |
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