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Probing ECG-based mental state monitoring on short time segments

Roy, Raphaëlle N. and Charbonnier, Sylvie and Campagne, Aurélie Probing ECG-based mental state monitoring on short time segments. (2013) In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 3 July 2013 - 7 July 2013 (Osaka, Japan).

(Document in English)

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Official URL: http://dx.doi.org/10.1109/EMBC.2013.6611071


Electrocardiography is used to provide features for mental state monitoring systems. There is a need for quick mental state assessment in some applications such as attentive user interfaces. We analyzed how heart rate and heart rate variability features are influenced by working memory load (WKL) and time-on-task (TOT) on very short time segments (5s) with both statistical significance and classification performance results. It is shown that classification of such mental states can be performed on very short time segments and that heart rate is more predictive of TOT level than heart rate variability. However, both features are efficient for WKL level classification. What's more, interesting interaction effects are uncovered: TOT influences WKL level classification either favorably when based on HR, or adversely when based on HRV. Implications for mental state monitoring are discussed.

Item Type:Conference or Workshop Item (Paper)
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Commissariat à l'Energie Atomique et aux énergies alternatives - CEA (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Université Grenoble Alpes - UGA (FRANCE)
Other partners > Université de Savoie Mont Blanc - USMB (FRANCE)
Laboratory name:
Deposited On:02 Aug 2018 15:38

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