TY - JOUR
T1 - Monitoring driving psychological fatigue through unconstrained heartbeat signal extraction by using pressure sensor array
AU - Hongchang, Sun
AU - Zhijing, Zhang
AU - Xin, Jin
AU - Sanpeng, Deng
AU - Yongxiang, Jiang
AU - Zhongpeng, Zheng
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2020
Y1 - 2020
N2 - The feasibility of monitoring driving psychological fatigue through unconstrained heartbeat extraction by using pressure sensors array was investigated. The pressure signals were obtained by close contact between subject's back and backrest of car seat. Correlation coefficients of electrocardiogram signals and pressure signals were used to select the optimal monitoring point due to the unavoidable adjustment of sitting posture during long times of driving. Lifting wavelet transform was applied for de-noising. J-J interval signals, which represent heartbeat signals, were extracted. The correlation dimension of heartbeat signals, reflecting the complicated degree and the chaotic level of a nonlinear dynamic system, was used as the indicator to determine the psychological fatigue. Its validity was verified by the consistency of correlation dimension with R-R interval (represents cardiac cycle). Finally, questionnaires during driving were administered. The effectiveness of this method to judge driver psychological fatigue was confirmed. This finding indicates that driving psychological fatigue can be monitored through unconstrained heartbeat signal extraction by using the pressure sensor array.
AB - The feasibility of monitoring driving psychological fatigue through unconstrained heartbeat extraction by using pressure sensors array was investigated. The pressure signals were obtained by close contact between subject's back and backrest of car seat. Correlation coefficients of electrocardiogram signals and pressure signals were used to select the optimal monitoring point due to the unavoidable adjustment of sitting posture during long times of driving. Lifting wavelet transform was applied for de-noising. J-J interval signals, which represent heartbeat signals, were extracted. The correlation dimension of heartbeat signals, reflecting the complicated degree and the chaotic level of a nonlinear dynamic system, was used as the indicator to determine the psychological fatigue. Its validity was verified by the consistency of correlation dimension with R-R interval (represents cardiac cycle). Finally, questionnaires during driving were administered. The effectiveness of this method to judge driver psychological fatigue was confirmed. This finding indicates that driving psychological fatigue can be monitored through unconstrained heartbeat signal extraction by using the pressure sensor array.
KW - Pressure sensor array
KW - correlation coefficients
KW - correlation dimension
KW - heartbeat signals
KW - unconstrained heartbeat extraction
UR - http://www.scopus.com/inward/record.url?scp=85079751927&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2960692
DO - 10.1109/ACCESS.2019.2960692
M3 - Article
AN - SCOPUS:85079751927
SN - 2169-3536
VL - 8
SP - 22193
EP - 22202
JO - IEEE Access
JF - IEEE Access
M1 - 8936923
ER -