Towards an accurate sleep apnea detection based on ECG signal: The quintessential of a wise feature selection

Title

Towards an accurate sleep apnea detection based on ECG signal: The quintessential of a wise feature selection

Authors

Keywords

Sleep apnea, Electrocardiogram (ECG), Heart rate variability (HRV), ECG-derived respiration (EDR), Feature selection, Classification, Artificial neural network (ANN), Support vector machine (SVM), Linear discriminant analysis (LDA), Partial least squares regression (PLS), Regression analysis (REG), Wiener–Hopf equation (wienerHopf), Augmented naive bayesian classifier (aNBC), Perceptron learning algorithm (PLA), Least mean squares (LMS)

Journal

APPLIED SOFT COMPUTING

Volume -, Issue -, Pages 105568

Publisher

Elsevier BV

Online

2019-06-25

DOI

10.1016/j.asoc.2019.105568