Music induction sleeping method and system based on electroencephalogram signal
An EEG signal and music technology, applied in the field of sleep aids, can solve problems such as not fully considering the correspondence between music and sleep states, and achieve the effect of expanding the selection range
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[0048] The flow chart is attached figure 1 Shown: a music-induced sleep method based on EEG signals, including the following steps:
[0049] Music grading step: analyze the three inherent parameters of music frequency, short-term energy, and sub-band energy ratio to form a music feature vector, process the music in frames, and obtain the maximum, minimum, and average values of short-term energy and variance; the sub-band energy ratio analysis method is to use wavelet transform to divide the music signal into sub-bands, decompose it into multiple bands, use the sub-band energy ratio characteristics of multiple bands as a part of the music feature vector, and divide the music signal according to the music feature vector Music is divided into two levels. One of the levels corresponds to waking periods and the other corresponds to light sleep states (NREM stage 1 and NREM stage 2).
[0050] Signal collection step: collecting the user's EEG signal;
[0051] Signal processing s...
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