Deep convolutional architecture-based hybrid learning for sleep arousal events detection through single-lead EEG signals.
Sign Up to like & getrecommendations! Published in 2023 at "Brain and behavior"
DOI: 10.1002/brb3.3028
Abstract: INTRODUCTION Detecting arousal events during sleep is a challenging, time-consuming, and costly process that requires neurology knowledge. Even though similar automated systems detect sleep stages exclusively, early detection of sleep events can assist in identifying… read more here.
Keywords: arousal events; single lead; detection; sleep arousal ... See more keywords