DocumentCode :
3656777
Title :
A remote deep sleep monitoring system based on a single channel for in-home insomnia diagnosis
Author :
Sana Tmar-Ben Hamida;Beena Ahmed
Author_Institution :
Electrical and Computer Engineering Department, Texas A&
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
2
Abstract :
An efficient insomnia diagnosis and treatment requires the analysis of sleep stages and patterns in the vital signals and clinical face-to-face consultations. The measured signals are collected from different locations on the head and the body and used to evaluate the sleep quality and quantity. Generally, these measurements require spending several days of monitoring at sleep centers. However, the first night effect may cause perturbations to the control subjects and contrary to insomnia subjects who may sleep better because of the change of the sleep environment. Therefore, there is a great interest in developing non-invasive ambulatory physiological insomnia monitoring devices for in-home use. It has been shown in previous studies that the sleep quality can be evaluated based on the quantity of length of deep sleep particularly the slow wave sleep (SWS) periods. The aim of this paper is to present a new method to evaluate the deep sleep epochs using a single electrooculogram channel and to collect remotely the subjective data through sleep diaries.
Keywords :
"Sleep","Biomedical monitoring","Monitoring","Electrooculography","Feature extraction","Electrodes","Interviews"
Publisher :
ieee
Conference_Titel :
New Technologies, Mobility and Security (NTMS), 2015 7th International Conference on
Type :
conf
DOI :
10.1109/NTMS.2015.7266469
Filename :
7266469
Link To Document :
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