An explainable deep learning approach for sleep staging in sleep apnea patients across all age subgroups from pulse oximetry signals
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Deep-learning (DL) approaches have been developed using pulse rate (PR) and blood oxygen saturation (SpO2) recordings from pulse oximetry to streamline sleep staging, particularly for obstructive sleep apnea (OSA) patients. However, lack of interpretability an... ...
