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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...
Recently, there has been increased interest in using multicarrier systems in rapidly time-varying multipath environment. Biorthogonal frequency division multiplexing based on offset QAM (BFDM/OQAM) is an attractive modulation method since it allows time-frequency well-localized pulses even at critical sampling (i.e. maximum spectral efficiency). BFDM/OQAM system is naturally strong against intersymbol...
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