A Novel Physical Fatigue Assessment Method Utilizing Heart Rate Variability and Pulse Arrival Time towards Personalized Feedback with Wearable Sensors
This paper proposes a novel method for physical fatigue assessment that can be applied in wearable systems, by utilizing a set of real-time measurable cardiovascular parameters. Daylength measurements, including a morning test set, physical exercise during the day, and an afternoon test set were con...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/4/1680 |
| _version_ | 1827652819653492736 |
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| author | Ardo Allik Kristjan Pilt Moonika Viigimäe Ivo Fridolin Gert Jervan |
| author_facet | Ardo Allik Kristjan Pilt Moonika Viigimäe Ivo Fridolin Gert Jervan |
| author_sort | Ardo Allik |
| collection | DOAJ |
| description | This paper proposes a novel method for physical fatigue assessment that can be applied in wearable systems, by utilizing a set of real-time measurable cardiovascular parameters. Daylength measurements, including a morning test set, physical exercise during the day, and an afternoon test set were conducted on 16 healthy subjects (8 female and 8 male). To analyze cardiovascular parameters for physical fatigue assessment, electrocardiography, pulse wave and blood pressure were measured during the test sets. The fatigue assessment questionnaire score, reaction time, countermovement jump height and hand grip strength were also measured and used as reference parameters. This study demonstrates that (i) the compiled test battery can selectively assess the rested vs. physically-fatigued states; (ii) the obtained linear support-vector machine, trained using the heart rate variability based parameter (F-score 0.842, accuracy 0.813) and pulse arrival time based parameter (F-score 0.875, accuracy 0.875) shows a promising ability to classify between the physically mildly fatigued and significantly fatigued states. Despite the somewhat limited study group size, the results of the study are unique and provide a significant advancement on the existing physical fatigue assessment methods towards a personalized and continuous real-time fatigue monitoring system with wearable sensors. |
| first_indexed | 2024-03-09T21:05:32Z |
| format | Article |
| id | doaj.art-cabc00dec11544fe815d3619c794816d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T21:05:32Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cabc00dec11544fe815d3619c794816d2023-11-23T22:03:27ZengMDPI AGSensors1424-82202022-02-01224168010.3390/s22041680A Novel Physical Fatigue Assessment Method Utilizing Heart Rate Variability and Pulse Arrival Time towards Personalized Feedback with Wearable SensorsArdo Allik0Kristjan Pilt1Moonika Viigimäe2Ivo Fridolin3Gert Jervan4Department of Health Technologies, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaDepartment of Health Technologies, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaDepartment of Health Technologies, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaDepartment of Health Technologies, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaDepartment of Computer Systems, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaThis paper proposes a novel method for physical fatigue assessment that can be applied in wearable systems, by utilizing a set of real-time measurable cardiovascular parameters. Daylength measurements, including a morning test set, physical exercise during the day, and an afternoon test set were conducted on 16 healthy subjects (8 female and 8 male). To analyze cardiovascular parameters for physical fatigue assessment, electrocardiography, pulse wave and blood pressure were measured during the test sets. The fatigue assessment questionnaire score, reaction time, countermovement jump height and hand grip strength were also measured and used as reference parameters. This study demonstrates that (i) the compiled test battery can selectively assess the rested vs. physically-fatigued states; (ii) the obtained linear support-vector machine, trained using the heart rate variability based parameter (F-score 0.842, accuracy 0.813) and pulse arrival time based parameter (F-score 0.875, accuracy 0.875) shows a promising ability to classify between the physically mildly fatigued and significantly fatigued states. Despite the somewhat limited study group size, the results of the study are unique and provide a significant advancement on the existing physical fatigue assessment methods towards a personalized and continuous real-time fatigue monitoring system with wearable sensors.https://www.mdpi.com/1424-8220/22/4/1680physical fatiguefatigue assessmentheart rate variabilitypulse arrival timewearables |
| spellingShingle | Ardo Allik Kristjan Pilt Moonika Viigimäe Ivo Fridolin Gert Jervan A Novel Physical Fatigue Assessment Method Utilizing Heart Rate Variability and Pulse Arrival Time towards Personalized Feedback with Wearable Sensors Sensors physical fatigue fatigue assessment heart rate variability pulse arrival time wearables |
| title | A Novel Physical Fatigue Assessment Method Utilizing Heart Rate Variability and Pulse Arrival Time towards Personalized Feedback with Wearable Sensors |
| title_full | A Novel Physical Fatigue Assessment Method Utilizing Heart Rate Variability and Pulse Arrival Time towards Personalized Feedback with Wearable Sensors |
| title_fullStr | A Novel Physical Fatigue Assessment Method Utilizing Heart Rate Variability and Pulse Arrival Time towards Personalized Feedback with Wearable Sensors |
| title_full_unstemmed | A Novel Physical Fatigue Assessment Method Utilizing Heart Rate Variability and Pulse Arrival Time towards Personalized Feedback with Wearable Sensors |
| title_short | A Novel Physical Fatigue Assessment Method Utilizing Heart Rate Variability and Pulse Arrival Time towards Personalized Feedback with Wearable Sensors |
| title_sort | novel physical fatigue assessment method utilizing heart rate variability and pulse arrival time towards personalized feedback with wearable sensors |
| topic | physical fatigue fatigue assessment heart rate variability pulse arrival time wearables |
| url | https://www.mdpi.com/1424-8220/22/4/1680 |
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