21 March 2006 Wavelet package frequency-band energy ratios of human EEG signals in sleeping
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Proceedings Volume 6040, ICMIT 2005: Mechatronics, MEMS, and Smart Materials; 60401U (2006) https://doi.org/10.1117/12.664236
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China
Abstract
Human EEG (Electroencephalogram) signals, including 4 rhythms i.e. δ, θ, α, β, are typically nonlinear. They just coincide with different human sleeping states. The wavelet package decomposition and reconstruction techniques are firstly introduced in order to analyze the nonlinear EEG. A 6 level decomposition of EEG was achieved with "db20" as the mother wavelet, and the above 4 rhythms were combined with specialized 8 frequency sub-bands obtained in wavelet package transform. The four frequency band energy ratios, with normalized values, were calculated from the reconstructed signals. These frequency band energy ratios are used as quantify estimation indexes for human sleeping states. The experimental results confirm the proposed method to be effective.
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Li Wang, Qingpeng Han, Ping Wang, Bangchun Wen, "Wavelet package frequency-band energy ratios of human EEG signals in sleeping", Proc. SPIE 6040, ICMIT 2005: Mechatronics, MEMS, and Smart Materials, 60401U (21 March 2006); doi: 10.1117/12.664236; https://doi.org/10.1117/12.664236
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