Deep convolutional neural network for classification of sleep stages from single-channel EEG signals
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2019.108312
Abstract: Using a smart method for automatic diagnosis in medical applications, such as sleep stage classification is considered as one of the important challenges of the last few years which can replace the time-consuming process of… read more here.
Keywords: classification; network; sleep stages; single channel ... See more keywords
Classification of sleep apnea based on EEG sub-band signal characteristics
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-85138-0
Abstract: Sleep apnea syndrome (SAS) is a disorder in which respiratory airflow frequently stops during sleep. Alterations in electroencephalogram (EEG) signal are one of the physiological changes that occur during apnea, and can be used to… read more here.
Keywords: apnea; sub band; sleep apnea; classification sleep ... See more keywords