Sleep stage classification of sleep apnea patients using decision-tree-based support vector machines based on ECG parameters

• Published in: Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics pp. 285 - 288
• Main Authors: Jeen-Shing Wang, Guan-Rong Shih, Wei-Chun Chiang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2012
• Subjects: Accuracy; Electrocardiography; Feature extraction; Heart rate variability; Noise measurement; Rapid eye movement sleep; Recording; Sleep apnea; Time-domain analysis; Time-frequency analysis

This paper describes the design and validation of an effective sleep stage classification strategy for patients with sleep apnea. This strategy consists of a sequential forward selection (SFS) feature selection method and a decision-tree-based support vector machines (DTB-SVM) classifier for discrim...