Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users
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. H...
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MDPI AG
2019-08-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/21/8/783 |
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| author | Abhishek Tiwari Isabela Albuquerque Mark Parent Jean-François Gagnon Daniel Lafond Sébastien Tremblay Tiago H. Falk |
| author_facet | Abhishek Tiwari Isabela Albuquerque Mark Parent Jean-François Gagnon Daniel Lafond Sébastien Tremblay Tiago H. Falk |
| author_sort | Abhishek Tiwari |
| collection | DOAJ |
| description | 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 <inline-formula> <math display="inline"> <semantics> <mrow> <mn>24.41</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> in accuracy and of <inline-formula> <math display="inline"> <semantics> <mrow> <mn>27.97</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> in F1 score can be achieved even at high activity levels. |
| first_indexed | 2024-04-11T22:19:44Z |
| format | Article |
| id | doaj.art-039f93cffea6402ab0afa80c74fa2cad |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T22:19:44Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-039f93cffea6402ab0afa80c74fa2cad2022-12-22T04:00:13ZengMDPI AGEntropy1099-43002019-08-0121878310.3390/e21080783e21080783Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant UsersAbhishek Tiwari0Isabela Albuquerque1Mark Parent2Jean-François Gagnon3Daniel Lafond4Sébastien Tremblay5Tiago H. Falk6Institut National de la Research Scientifique, Université du Québec, Montréal, QC H3A 0E7, CanadaInstitut National de la Research Scientifique, Université du Québec, Montréal, QC H3A 0E7, CanadaInstitut National de la Research Scientifique, Université du Québec, Montréal, QC H3A 0E7, CanadaThales Research and Technology, Québec, QC G1P 4P5, CanadaThales Research and Technology, Québec, QC G1P 4P5, CanadaSchool of Psychology, Université Laval, Québec, QC G1V 0A6, CanadaInstitut National de la Research Scientifique, Université du Québec, Montréal, QC H3A 0E7, CanadaMental 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 <inline-formula> <math display="inline"> <semantics> <mrow> <mn>24.41</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> in accuracy and of <inline-formula> <math display="inline"> <semantics> <mrow> <mn>27.97</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> in F1 score can be achieved even at high activity levels.https://www.mdpi.com/1099-4300/21/8/783mental workloadmotifmulti-scale entropypermutation entropyHRVSVM |
| spellingShingle | Abhishek Tiwari Isabela Albuquerque Mark Parent Jean-François Gagnon Daniel Lafond Sébastien Tremblay Tiago H. Falk Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users Entropy mental workload motif multi-scale entropy permutation entropy HRV SVM |
| title | Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users |
| title_full | Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users |
| title_fullStr | Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users |
| title_full_unstemmed | Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users |
| title_short | Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users |
| title_sort | multi scale heart beat entropy measures for mental workload assessment of ambulant users |
| topic | mental workload motif multi-scale entropy permutation entropy HRV SVM |
| url | https://www.mdpi.com/1099-4300/21/8/783 |
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