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Background and objective: Proper scoring of sleep stages can give clinical information on diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep is highly time-consuming and dependent to experts’ experience, automatic schemes based on electroencephalogram (EEG) analysis are broadly developed to solve these problems. This review presents an overview on the most...
Recently, several attempts have been made to find the depth of anesthesia (DOA) by analyzing the ongoing electroencephalogram (EEG) signals during surgical operations. Nevertheless, specialists still do not rely on these indexes because they cannot accurately track the transitions of anesthetic depth. This paper presents an effective EEG-based index that is fast to compute and acts very accurate in...
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