A hierarchical sequential neural network with feature fusion for sleep staging based on EOG and RR signals.
Journal:
Journal of neural engineering
Published Date:
Oct 29, 2019
Abstract
OBJECTIVE: Currently, the automatic sleep staging methods mainly face two problems: the first problem is that although the algorithms which use electroencephalogram (EEG) signals perform well, acquiring EEG signals is complicated and uncomfortable; the second problem is that if the methods utilize physiological signals collected by user-friendly devices, such as cardiorespiratory signals, whose accuracies are hard to be accepted by clinicians, although the employed signals are easy and comfortable to acquire.