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Online ECG-based Features for Cognitive Load Assessment

Ponzoni Carvalho Chanel, Caroline and Wilson, Matthew D. and Scannella, Sébastien Online ECG-based Features for Cognitive Load Assessment. (2019) In: IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), 6 October 2019 - 9 October 2019 (Bari, Italy).

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Official URL: http://www.ieeesmc.org/publications/enewsletter/629-2019-ieee-international-conference-on-systems-man-and-cybernetics

Abstract

This study was concerned with the development and testing of online cognitive-load monitoring methods by means of a working-memory experiment using electrocardiogram (ECG) analyses for future applications in mixed-initiative human-machine interaction (HMI). To this end, we first identified potentially reliable cognitive-workload-related cardiac metrics and algorithms for online processing. We then compared our online results to those conventionally obtained with state-of-the-art offline methods. Finally, we evaluated the possibility of classifying low versus high working-memory load using different classification algorithms. Our results show that both offline and online methods reliably estimate the workload associated with a multi-level working-memory task at the group level, whether it is with the heart rhythm or the heart rate variation (standard deviation of the RR interval). Moreover, we found significant working-memory load classification accuracy using both two-dimensional linear discriminant analyses (LDA) or a support vector machine (SVM). We hence argue that our online algorithm is reliable enough to provide online electrocardiographic metrics as a tool for real-life workload evaluation and can be a valuable feature for mixed-initiative systems.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to the IEEE (Institute of Electrical and Electronics Engineers) © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
Audience (conference):International conference proceedings
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Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
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Funders:
Chaire CASAC Dassault Aviation
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Deposited By: Caroline Ponzoni Carvalho Chanel
Deposited On:05 Sep 2019 07:55

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