TY - GEN
T1 - Development of an actigraph system for sleep-wake identification
AU - Liang, Sheng Fu
AU - Young, Chung Ping
AU - Chang, Da Wei
AU - Shaw, Fu Zen
AU - Liu, You De
AU - Liu, Yi Che
AU - Chen, Jing Jhong
PY - 2011
Y1 - 2011
N2 - Serious sleep disorder may interfere with people's daily life, so monitoring the physiological signals and analyzing the recorded data are to find a solution to improve sleep quality. According to the survey of National Institute of Neurological Disorders and Stroke (NINDS) of United States, about 60 million Americans a year have insomnia frequently or for extended periods of time. A polysomnography (PSG) is a common approach with comprehensive multi-parametric physiological recording for sleep testing, but a subject sleeping in an unfamiliar environment with many wires attached will not feel comfortable and the recorded data cannot reflect the real sleeping quality. A wrist-watch actigraph recorder was developed for using within a living environment, while 35 healthy and 11 insomnia subjects were monitored and recorded by both PSG and actigraphy all night 8 hours for validation. The results show 91% in overall accuracy, 92% in sensitivity, 80% in specificity, 97% in predictive value for sleep and 54 % in predictive value for wake.
AB - Serious sleep disorder may interfere with people's daily life, so monitoring the physiological signals and analyzing the recorded data are to find a solution to improve sleep quality. According to the survey of National Institute of Neurological Disorders and Stroke (NINDS) of United States, about 60 million Americans a year have insomnia frequently or for extended periods of time. A polysomnography (PSG) is a common approach with comprehensive multi-parametric physiological recording for sleep testing, but a subject sleeping in an unfamiliar environment with many wires attached will not feel comfortable and the recorded data cannot reflect the real sleeping quality. A wrist-watch actigraph recorder was developed for using within a living environment, while 35 healthy and 11 insomnia subjects were monitored and recorded by both PSG and actigraphy all night 8 hours for validation. The results show 91% in overall accuracy, 92% in sensitivity, 80% in specificity, 97% in predictive value for sleep and 54 % in predictive value for wake.
UR - http://www.scopus.com/inward/record.url?scp=80051884267&partnerID=8YFLogxK
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U2 - 10.1109/IMTC.2011.5944248
DO - 10.1109/IMTC.2011.5944248
M3 - Conference contribution
AN - SCOPUS:80051884267
SN - 9781424479351
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
SP - 128
EP - 133
BT - 2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings
T2 - 2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011
Y2 - 10 May 2011 through 12 May 2011
ER -