Towards Mental Stress Detection Using Wearable Physiological Sensors

Wijsman, Jacqueline and Grundlehner, Bernard and Liu, Hao and Hermens, Hermie and Penders, Julien (2011) Towards Mental Stress Detection Using Wearable Physiological Sensors. In: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011, 30 Aug - 3 Sept 2011, Boston, USA.

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Abstract:	Early mental stress detection can prevent many stress related health problems. This study aimed at using a wearable sensor system to measure physiological signals and detect mental stress. Three different stress conditions were presented to a healthy subject group. During the procedure, ECG, respiration, skin conductance, and EMG of the trapezius muscles were recorded. In total, 19 physiological features were calculated from these signals. After normalization of the feature values and analysis of correlations among these features, a subset of 9 features was selected for further analysis. Principal component analysis reduced these 9 features to 7 principal components (PCs). Using these PCs and different classifiers, a consistent classification accuracy between stress and non stress conditions of almost 80% was found. This suggests that a promising feature subset was found for future development of a personalized stress monitor.
Item Type:	Conference or Workshop Item
Copyright:	© 2011 IEEE
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Biomedical Signals and Systems (BSS)
Link to this item:	http://purl.utwente.nl/publications/78141
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