Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users

Clicks: 291
ID: 105168
2019
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Abstract
Mental workload assessment is crucial in many real life applications which require constant attention and where imbalance of mental workload resources may cause safety hazards. As such, mental workload and its relationship with heart rate variability (HRV) have been well studied in the literature. However, the majority of the developed models have assumed individuals are not ambulant, thus bypassing the issue of movement-related electrocardiography (ECG) artifacts and changing heart beat dynamics due to physical activity. In this work, multi-scale features for mental workload assessment of ambulatory users is explored. ECG data was sampled from users while they performed different types and levels of physical activity while performing the multi-attribute test battery (MATB-II) task at varying difficulty levels. Proposed features are shown to outperform benchmark ones and further exhibit complementarity when used in combination. Indeed, results show gains over the benchmark HRV measures of 24.41 % in accuracy and of 27.97 % in F1 score can be achieved even at high activity levels.
Reference Key
tiwari2019multiscaleentropy Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Tiwari, Abhishek;Albuquerque, Isabela;Parent, Mark;Gagnon, Jean-François;Lafond, Daniel;Tremblay, Sébastien;Falk, Tiago H.;
Journal entropy
Year 2019
DOI
DOI not found
URL
https://www.mdpi.com/1099-4300/21/8/783
Keywords
Therapeutics. Pharmacology Medicine (General) Science physics environmental sciences toxicology. poisons neurosciences. biological psychiatry. neuropsychiatry agriculture public aspects of medicine astrophysics physical anthropology. somatology

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