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Sleep staging with deep structured neural net using Gabor layer and data augmentation
Turkish Journal of Electrical Engineering and Computer Sciences
Slow wave sleep (SWS) and rapid eye movement (REM) are two of the most important sleep stages that are 4 considered in many studies. Detection of these two sleep stages will help researchers in many applications to detect sleep-5 related diseases and disorders and also in many fields of neuroscience studies such as cognitive impairment and memory 6 consolidation. Since manual sleep staging is time-consuming, subjective, and expensive; designing an efficient automatic 7 sleep scoring system willdoi:10.3906/elk-1908-50 fatcat:4pznv3qcfzd6rmvnac5iwbfip4