Journal article
Applying ubiquitous sensing to estimate perceived exertion based on cardiorespiratory features
- Abstract:
- Reliable monitoring of one’s response to exercise intensity is imperative to effectively plan and manage training, but not always practical in impact sports settings. This study aimed to evaluate if an inexpensive mobile cardio-respiratory monitoring system can achieve similar performance to a metabolic cart in estimating rated perceived exertion. Eight adult men volunteered to perform treadmill tests under different conditions. Cardiorespiratory data was collected using a metabolic cart and an instrumented oral-cavity device, as well as their ratings of perceived exertion. Pearson correlation corrected for repeated measurements and stepwise regression analysis were used to observe the relationship between the cardiorespiratory features and the ratings of perceived exertion and determine the proportion of the variance of exertion that could be explained by the measurements. Minute ventilation was found to be the most associated variable to perceived exertion, closely followed by a novel metric called the audio minute volume, which can be collected by the oral-cavity device. A generalised linear model combining minute ventilation, audio minute volume, heart rate and respiration rate accounted for 64% of the variance in perceived exertion, whilst a model with only audio minute volume accounted for 56%. Our study indicates that minute ventilation is key to estimating perceived exertion during indoor running exercises. Audio minute volume was also observed to perform comparably to a lab-based metabolic cart in estimating perceived exertion. This research indicates that mobile techniques offer the potential for real-world data collection of an athlete’s physiological load and estimation of perceived exertion
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 873.0KB, Terms of use)
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- Publisher copy:
- 10.1007/s12283-021-00346-1
Authors
- Publisher:
- Springer Nature
- Journal:
- Sports Engineering More from this journal
- Volume:
- 24
- Article number:
- 9
- Publication date:
- 2021-04-22
- Acceptance date:
- 2021-04-09
- DOI:
- EISSN:
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1460-2687
- ISSN:
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1369-7072
- Language:
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English
- Keywords:
- Pubs id:
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1170863
- Local pid:
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pubs:1170863
- Deposit date:
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2021-04-09
- ARK identifier:
Terms of use
- Copyright holder:
- de Almeida e Bueno et al.
- Copyright date:
- 2021
- Rights statement:
- © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Notes:
- This work is related to the thesis On-field respiratory monitoring techniques to track performance and exertion of team-sports athletes.
- Licence:
- CC Attribution (CC BY)
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