Purpose Obstructive sleep apnea (OSA) is defined by repetitive partial or complete upper
airway obstruction characterized by episodes of breathing cessation during sleep. It is the most …

… of sleep apnea care. As our understanding of respiratory and neurophysiological signals and
sleep apnea … for the detection and treatment of sleep apnea. Approach: It discusses signal …

… Gaussian radial basis function is used as the kernel function in both the … function is used as
the activation function, and the Levenberg–Marquardt algorithm (back-propagation algorithm) …

… in the search were “algorithm AND sleep apnea”, “oximetry AND apnea”, “ECG AND …
Purelin linear transfer function was used as the activation function of the output layer during the …

… where μ is an obtained weight according to related fuzzy membership function, μ Ai (x), μ Bi
… , the obstructive sleep apnea syndrome was diagnosed using different classifier algorithms …

… where φe is the MSE function or proposed objective function to … system for improving the
fitness of test function [32]. GA pop… Sharma and KK Sharma, “An algorithm for sleep apnea …

Goal: This paper presents a methodology for the automatic detection of sleep apnea from
single-lead ECG. Methods: It uses two novel features derived from the ECG, and two well-…

… sleep apnea are important yet challenging goals in sleep medicine. Classification algorithms
… We analyzed polysomnography and clinical features available from the Sleep Heart Health …

… [13] compared the performance of different sleep apnea detection algorithms using single-lead
ECG signal. They found that the features of ECG signals can efficiently detect the …

… We computed the sensitivity and specificity of our algorithm as a function of the value we
chose for UB, LB, and ODI threshold . We varied UB from 0.5 to 0.9 and LB from 0.1 to 0.5 in 0.1 …