TY - GEN
T1 - Effects of noisy sounds on human stress using ECG signals
T2 - 10th International Conference on Information, Communications and Signal Processing, ICICS 2015
AU - Oh, Beom Seok
AU - Yeo, Yong Kiang
AU - Wan, Fang Yuan
AU - Wen, Yi
AU - Yang, Yan
AU - Lin, Zhiping
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/4/26
Y1 - 2016/4/26
N2 - In this paper, we explore the effects of noisy sounds (i.e. auditory stressor) on human stress using electrocardiogram (ECG) signals. The noisy sounds utilized in this study include: sound of car horn, children crying, siren, drilling and from a construction site. Essentially, the ECG signals are represented by eight heart rate variability features which are commonly utilized in human stress related literature. A statistical significance test is then performed per feature per sound so that those effective features for detecting human stress caused by the noisy sounds can be localized. Our empirical results performed using an in-house database (ten minutes of ECG signals from seventeen healthy subjects), showed that some of the noisy sounds cause human stress. The results also reveal that frequency-domain features contain more stress related information caused by the noisy sounds than that of time-domain and geometric features.
AB - In this paper, we explore the effects of noisy sounds (i.e. auditory stressor) on human stress using electrocardiogram (ECG) signals. The noisy sounds utilized in this study include: sound of car horn, children crying, siren, drilling and from a construction site. Essentially, the ECG signals are represented by eight heart rate variability features which are commonly utilized in human stress related literature. A statistical significance test is then performed per feature per sound so that those effective features for detecting human stress caused by the noisy sounds can be localized. Our empirical results performed using an in-house database (ten minutes of ECG signals from seventeen healthy subjects), showed that some of the noisy sounds cause human stress. The results also reveal that frequency-domain features contain more stress related information caused by the noisy sounds than that of time-domain and geometric features.
UR - http://www.scopus.com/inward/record.url?scp=84973610887&partnerID=8YFLogxK
U2 - 10.1109/ICICS.2015.7459852
DO - 10.1109/ICICS.2015.7459852
M3 - Conference contribution
AN - SCOPUS:84973610887
T3 - 2015 10th International Conference on Information, Communications and Signal Processing, ICICS 2015
BT - 2015 10th International Conference on Information, Communications and Signal Processing, ICICS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 December 2015 through 4 December 2015
ER -