HIGHLIGHTS
SUMMARY
The video monitoring system was used to monitor patients` states for easier data_analysis and segmentation. The basic way to deal with noises and artifacts on EEG is the data filtration: a high-pass filter is used to restrain the low-frequency components (stray effects, cardiac rhythm, breathing artifacts), while a low-pass filter deals with the high-frequency activity, commonly associated with the muscle artifacts. CWT can be demanding in terms of computational costs: application of CWT in the frequency range of interest to several day-long multichannel EEG data with even low sampling . . .
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