Title :
Real-time sleep quality assessment using single-lead ECG and multi-stage SVM classifier
Author :
Bsoul, Majdi ; Minn, Hlaing ; Nourani, Mehrdad ; Gupta, Gopal ; Tamil, Lakshman
Author_Institution :
Alcatel-Lucent, Plano, TX, USA
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
Sleep efficiency measures provide an objective assessment to gauge the quality of individual´s sleep. In this study we present a home-based, automated and non-intrusive system that is based on Electrocardiogram (ECG) measurements and uses a multi-stage Support Vector Machines (SVM) classifier to measure three indices for sleep quality assessment per 30 s epoch segment: Sleep Efficiency Index, Delta-Sleep Efficiency Index and Sleep Onset Latency. This method provides an alternative to the intrusive and expensive Polysomnography (PSG) and scoring by Rechtschaffen and Kales visual method.
Keywords :
electrocardiography; medical signal processing; signal classification; sleep; support vector machines; delta-sleep efficiency index; electrocardiogram; multistage SVM classifier; multistage Support Vector Machine classifier; real-time sleep quality assessment; single-lead ECG; sleep efficiency index; sleep onset latency; Electrocardiography; Feature extraction; Indexes; Sleep; Support vector machines; Time series analysis; Algorithms; Artificial Intelligence; Computer Systems; Diagnosis, Computer-Assisted; Electrocardiography; Humans; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Sleep Stages;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626011
