Obstructive sleep apnea event prediction using recurrence plots and convolutional neural networks (RP-CNNs) from polysomnographic signals

• Published in: Biomedical signal processing and control Vol. 69; p. 102928
• Main Authors: Taghizadegan, Yashar, Jafarnia Dabanloo, Nader, Maghooli, Keivan, Sheikhani, Ali
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2021
• Subjects: Convolutional neural network (CNN); Fusion; Obstructive sleep apnea (OSA); Polysomnography; Prediction; Recurrence plots (RPs); Weighted majority voting (WMV); Recurrence plots (RPs); Obstructive sleep apnea (OSA); Prediction; Convolutional neural network (CNN); Polysomnography; Fusion; Weighted majority voting (WMV)

•Representation of dynamic behavior of EEG, ECG and respiration channels of OSA patients using the recurrence plot (RP) were used to predict OSA events.•A novel system based on fusion of Recurrence Plot (RP), pre-trained convolutional neural networks and majority voting method was proposed to predic...