TY - GEN
T1 - Development of sleep-wake estimation algorithm using the wrist acceleration sensor
AU - Yoshida, Yutaka
AU - Kurata, Akira
AU - Yuda, Emi
AU - Hayano, Junichiro
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/19
Y1 - 2017/12/19
N2 - We developed the algorithm to estimate sleep-wake during sleep period using a 3-axis acceleration wrist sensor for the purpose of self-management of sleep status in everyday life. The 3-axis acceleration data were transformed into combined acceleration time series, from which sleep-wake was estimated. The algorithm discriminated sleep from waking time with 91.8[87.4-95.3]% sensitivity and 55.5[40.2-72.5]% specificity. It estimated sleep efficiency with a correlation coefficient of 0.52(p<0.01, n=228) with that determined by polysomnography.
AB - We developed the algorithm to estimate sleep-wake during sleep period using a 3-axis acceleration wrist sensor for the purpose of self-management of sleep status in everyday life. The 3-axis acceleration data were transformed into combined acceleration time series, from which sleep-wake was estimated. The algorithm discriminated sleep from waking time with 91.8[87.4-95.3]% sensitivity and 55.5[40.2-72.5]% specificity. It estimated sleep efficiency with a correlation coefficient of 0.52(p<0.01, n=228) with that determined by polysomnography.
KW - 3-axis acceleration sensor
KW - sleep-wake estimation
UR - http://www.scopus.com/inward/record.url?scp=85045769634&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045769634&partnerID=8YFLogxK
U2 - 10.1109/GCCE.2017.8229315
DO - 10.1109/GCCE.2017.8229315
M3 - Conference contribution
AN - SCOPUS:85045769634
T3 - 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
SP - 1
EP - 2
BT - 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE Global Conference on Consumer Electronics, GCCE 2017
Y2 - 24 October 2017 through 27 October 2017
ER -