Chuanwu Chen
ABSTRACT
This paper analyzed the difference between strong and weak stress by the features of the pulse transit time (PTT) series. The stress status was induced by thesis defense and a pre-defending presentation experiment. The sequential backward selection (SBS) algorithm was used for feature selection, and the 0 order and 8 order weighted Krawtchouk moments of the PTT series were selected by SBS as the best features. Statistic test shows that the 0 order weighted Krawtchouk moment and the 8 order weighted Krawtchouk moment of the PTT series during strong stress were significantly larger than those during weak stress. The extreme learning machine (ELM) and leave-one-out cross validation were used for binary classification, and the correct recognition rate of the strong and weak stress were 87.1% and 90.32%, respectively.
- A. Alkozei. and C. Creswell. 2015. Autonomic arousal in childhood anxiety disorders: Associations with anxiety and social anxiety disorder. Journal of Affective Disorders. 175, 1(April, 2015), 25--33. Google Scholar
Cross Ref
- Eeske van Roekel. Thao, H. and M. Verhagen. 2015. Social stress in early adolescents' daily lives: Associations with affect and loneliness. Journal of adolescence. 45, (December, 2015), 274--283. Google ScholarCross Ref
- M, Rewak. and L. D. Kubzansky. 2013. An anxious heart: anxiety and the onset of cardiovascular diseases. Progress in Cardiovascular Diseases. 55, 6 (May, 2013), 524--537. Google ScholarCross Ref
- Sydney, B. and Blaine Ditto. 1991. Exaggerated Sympathetic Nervous System Response to Extended Psychological Stress in Offspring of Hypertensives. Psychophysiology. 28, 1 (Jan, 1991), 103--113.Google Scholar
- R. Lampert. 2015. ECG signatures of psychological stress. Journal of Electrocardiology. 48, 6 (Nov, 2015), 1000--1005. Google ScholarCross Ref
- M. Bergamaschi. 2011. Cannabidiol reduces the anxiety induced by simulated public speaking in treatment-naive social phobia patients. Neuropsychopharmacology. 36, 6 (Oct, 2011), 1219--1226. Google ScholarCross Ref
- L. A. Geddes, M. H. Voelz, and C. F. Babbs. 1981. Pulse transit time as an indicator of arterial blood pressure. Psychophysiology. 18, 1 (Jan, 1981), 71--74. Google ScholarCross Ref
- B. Mauss, F. H. Wilhelm, and J. J. Gross. 2003. Autonomic recovery and habituation in social anxiety. Psychophysiology. 40, 4 (Jul, 2003), 648--653. Google ScholarCross Ref
- Maya, J. L. and Joan, D. 2012. Excess heart rate and systolic blood pressure during psychological stress in relation to metabolic demand in adolescents. Biological Psychology. 91, 1 (Sep, 2012), 42--47. Google ScholarCross Ref
- H. Gesche, and D. Grosskurth. 2012. Continuous blood pressure measurement by using the pulse transit time: comparison to a cuff-based method. European Journal of Applied Physiology. 112, 1 (Jan, 2012), 309--315. Google ScholarCross Ref
- X. He, R. A. Goubran, and X. P. Liu. 2013. Evaluation of the correlation between blood pressure and pulse transit time. In Proceedings of the IEEE International Symposium on Medical Measurements and Applications (Gatineau, May 04-05, 2013). 17--20. DOI=http://dx.doi.org/10.1109/MeMeA.2013.6549697. Google ScholarCross Ref
- H. Hu, G. Y. Liu. 2016. Evaluating social anxiety through pulse transit time series based on extreme learning machine. 2016 Sixth International Conference on Information Science and Technology (Dalian, China, July 27-29, 2016). 163--167.DOI=http://dx.doi.org/10.1109/ICIST.2016.7483404. Google ScholarCross Ref
- G. B. Huang. 2004. Extreme learning machine: a new learning scheme of feedforward neural networks. IEEE Internatioal Joint Conference on Neural Networks (July 25-29, 2004).3, 985--990. DOI=http://dx.doi.org/10.1109/IJCNN.2004.1380068. Google ScholarCross Ref
- S. J. Reeves. 1998. An improved sequential backward selection algorithm for large-scale observation selection problems. In Proceedings of the 1998 IEEE International Conference on Speech and Signal Processing (May 15, 1998).3, 1657--1660. DOI=http://dx.doi.org/10.1109/ICASSP.1998.681773. Google ScholarCross Ref
Index Terms
- The Recognition and Classification of Stress Base on Pulse Transit Time Series
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