Title :
A severity measurement system for obstructive sleep apnea discrimination using a single ECG signal
Author :
Lili Chen ; Xi Zhang ; Changyue Song
Author_Institution :
Dept. of Ind. Eng. & Manage., Peking Univ., Beijing, China
Abstract :
A new severity measurement system for obstructive sleep apnea (OSA) classification has been proposed in this paper. This system was based on the segmentation of RR interval (R wave to R wave interval on ECG signal) sequence followed by baseline construction for different categories of patients with various severities. A novel automatic segmentation algorithm based on K-S test was developed in this system. The performance of the severity system was evaluated using a cohort of patients and the results showed that this proposed severity measurement system was effective to discriminate the OSA and non-OSA.
Keywords :
electrocardiography; measurement systems; medical signal processing; signal classification; K-S test; OSA classification; R wave interval; RR interval segmentation; automatic segmentation algorithm; baseline construction; non-OSA; obstructive sleep apnea discrimination; severity measurement system; signal sequence; single ECG signal; Biomedical monitoring; Databases; Density functional theory; Electrocardiography; Sleep apnea; Standards;
Conference_Titel :
Automation Science and Engineering (CASE), 2013 IEEE International Conference on
Conference_Location :
Madison, WI
DOI :
10.1109/CoASE.2013.6653931
