TY - GEN
T1 - Novel Sleep Apnea Detection Based on UWB Artificial Intelligence Mattress
AU - Wang, Chiapin
AU - Chan, Jen Hau
AU - Fang, Shih Hau
AU - Cheng, Ho Ti
AU - Hsu, Yeh Liang
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3
Y1 - 2019/3
N2 - In this paper, we propose a novel sleep apnea identification system by adopting a sleep breathing monitoring mattress which utilizes the ultra-wideband (UWB) physiological sensing technique. Unlike traditional methods which need wearable devices and electrical equipment connected to patients, the proposed system detects apnea in a non-conscious and non-contact way by using UWB sensors. The proposed system is built by a machine learning technique in the offline stage, and detects apnea in the online stage by using our designed apnea detection algorithm. The experimental results illustrate that the proposed apnea identification system efficiently detects sleep apnea without diagnoses undertaken at hospitals.
AB - In this paper, we propose a novel sleep apnea identification system by adopting a sleep breathing monitoring mattress which utilizes the ultra-wideband (UWB) physiological sensing technique. Unlike traditional methods which need wearable devices and electrical equipment connected to patients, the proposed system detects apnea in a non-conscious and non-contact way by using UWB sensors. The proposed system is built by a machine learning technique in the offline stage, and detects apnea in the online stage by using our designed apnea detection algorithm. The experimental results illustrate that the proposed apnea identification system efficiently detects sleep apnea without diagnoses undertaken at hospitals.
KW - Sleep apnea detection
KW - machine learning
KW - ultra-wideband (UWB)
UR - http://www.scopus.com/inward/record.url?scp=85070473390&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070473390&partnerID=8YFLogxK
U2 - 10.1109/AICAS.2019.8771598
DO - 10.1109/AICAS.2019.8771598
M3 - Conference contribution
AN - SCOPUS:85070473390
T3 - Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
SP - 158
EP - 159
BT - Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
Y2 - 18 March 2019 through 20 March 2019
ER -