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ERS and ERD (event-related synchronization and desynchronization) are observed in EEG (electroencephalogram) signals around such events as sensitive stimulus, motions, cognitive actions etc. Usually, ERS/ERD features of EEG are extracted as variances of band-passed signals of several trials. To make use of these features to recognize inputs for BCI (brain-computer interface), we applied discrete wavelet...
We have developed an automatic discrimination system of human sleep EEG (electroencephalogram) stages based on a wave-shape recognition method. These systems can detect discrete stages (stage MT, W, 1, 2, 3, 4 and REM). But, it is impossible to extract much information in detail by them. Therefore, we tried to continuous wavelet analysis applied to EEG signals in order to extract more precise information...
We have developed so far an automatic discrimination system of human sleep EEG stages based on a waveshape recognition method. These systems were able to detect discrete stages (stage MT, W, 1, 2, 3, 4, REM). However, they are not sufficient to extract much information in detail. Therefore, in order to extract more precise information for sleep stages, we have tried to analyze the sleep EEG in its...
We have developed a relevance between sleep stage (Stage MT, W, 1, 2, 3, 4, REM) and rhythm of autonomic nerve activity computed by frequency analysis of heartbeat interval. Heartbeat during sleep was changed by sleep state. Extraction of relationships between sleep stage and heartbeat interval from signal of pressure sensor located in bed is goal. Then, we tried to apply continuous wavelet analysis...
We have developed the automatic discrimination system of human sleep EEG (electroencephalogram) stages based on a wave-shape recognition method. These systems can detect discrete stages (stage MT, W, 1, 2, 3, 4 and REM). But, more detailed information extraction is impossible by them. Therefore, we tried to continuous wavelet analysis applied to EEG signals in order to extract more precise information...
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