Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals - Viswabhargav, ChS.S.S.; Tripathy, R.K.; Acharya, U. Rajendra (Computers in biology and medicine, 2019)
Keywords: Accuracy; Annotations; Apnea; Automation; Basis functions; Classifiers; Cluster analysis; Clustering; Decomposition; Dictionaries; EDR and HRV signals dictionaries; EKG; Electrocardiography; Entropy; Feature extraction; Fourier transforms; Heart rate; Principal components analysis; Radial basis function; Respiratory tract; Sensitivity; Sleep; Sleep apnea; Sleep apnea detection; Sleep disorders; Sparse residual entropy; Support vector machines; SVM classifier; Vector quantization; Sleep apnea detection; EDR and HRV signals dictionaries; Sparse residual entropy; SVM classifier