TY - GEN
T1 - RASS
T2 - 2012 IEEE 33rd Real-Time Systems Symposium, RTSS 2012
AU - Zhang, Jin
AU - Chen, Dawei
AU - Zhao, Jianhui
AU - He, Mincong
AU - Wang, Yuanpeng
AU - Zhang, Qian
PY - 2012
Y1 - 2012
N2 - It is a well known fact that the quality of sleep is an important factor in health-related quality of life (HRQoL), and people could prevent potential problems by tracking the quality of their sleep. Unfortunately sleep scoring, which is a systematic way to address the sleep staging as well as the scoring of arousals, respiratory, cardiac, and movement events, is usually conducted with specialized equipment which is expensive and operated by specialists in dedicated sleep centers. Related research studies and products (e.g. ZEO) tried to solve this problem, but they either used multiple probes that cause discomfort to the patient, or could not score in real time. In this paper, we design and implement RASS, a portable Real-time Automatic Sleep Scoring system. RASS only requires one probe, which is inexpensive and, as a result, may be used at home or during travel. RASS accurately scores the sleeping state and detects sleep apnea in real-time based on the sensing results of pulse, blood oxygen, activity, sound and light signals. An alarm will be generated when a severely abnormal sleep state is detected. RASS has been tested with 48 patients, and the test results show that RASS could achieve higher than 84% accuracy.
AB - It is a well known fact that the quality of sleep is an important factor in health-related quality of life (HRQoL), and people could prevent potential problems by tracking the quality of their sleep. Unfortunately sleep scoring, which is a systematic way to address the sleep staging as well as the scoring of arousals, respiratory, cardiac, and movement events, is usually conducted with specialized equipment which is expensive and operated by specialists in dedicated sleep centers. Related research studies and products (e.g. ZEO) tried to solve this problem, but they either used multiple probes that cause discomfort to the patient, or could not score in real time. In this paper, we design and implement RASS, a portable Real-time Automatic Sleep Scoring system. RASS only requires one probe, which is inexpensive and, as a result, may be used at home or during travel. RASS accurately scores the sleeping state and detects sleep apnea in real-time based on the sensing results of pulse, blood oxygen, activity, sound and light signals. An alarm will be generated when a severely abnormal sleep state is detected. RASS has been tested with 48 patients, and the test results show that RASS could achieve higher than 84% accuracy.
KW - Heart rate variability analysis
KW - Sleep apnea detection
KW - Sleep scoring
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000317284200010
UR - https://openalex.org/W2144557486
UR - https://www.scopus.com/pages/publications/84874290061
U2 - 10.1109/RTSS.2012.63
DO - 10.1109/RTSS.2012.63
M3 - Conference Paper published in a book
SN - 9780769548692
T3 - Proceedings - Real-Time Systems Symposium
SP - 105
EP - 114
BT - Proceedings of the 2012 IEEE 33rd Real-Time Systems Symposium, RTSS 2012
Y2 - 5 December 2012 through 7 December 2012
ER -