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Journal article
Automatic adjustment of cycle ergometer power output to accurately clamp heart rate
Journal of sports sciences, Vol.42(9), pp.847-850
2024
Abstract
We assessed the accuracy and inter-sessional reliability of traditional (manual) compared to automatic (AutoHR) heart rate (HR) clamping methods during submaximal intensity continuous cycling. On separate occasions, thirteen males cycled at an HR corresponding to 80% of the ventilatory threshold for 18 min. Cycling power output was adjusted using either manual or AutoHR methods, encompassing three trials per method. For the manual method, cycling power output was adjusted every 30 s by 0, 5 or 10 W at the experimenter’s discretion. Conversely, AutoHR automatically adjusted power output based on the difference between target and actual HR. Participants’ HR was measured at 1 Hz. Root-mean square error (RMSE) and intraclass correlation coefficients (ICC) were calculated from the difference between measured and target HR to represent accuracy and reliability of each method. The RMSE for the manual method (3.2 ± 2.6 bpm) was significantly higher compared to AutoHR (2.8 ± 2.3 bpm) (p < 0.01, r = 0.13); inter-day ICC were 0.92 and 0.89 for manual adjustment and AutoHR, respectively. Automatic methods to clamp HR are more accurate than manual approaches during submaximal intensity continuous cycling and can be easily implemented for uniform HR control in individual and group training sessions at minimal cost.
Details
- Title
- Automatic adjustment of cycle ergometer power output to accurately clamp heart rate
- Authors/Creators
- Siu Nam Li - The University of Western AustraliaPeter Peeling - The University of Western AustraliaBrendan Scott - Murdoch University, Centre for Healthy AgeingJeremiah Peiffer - Murdoch University, Centre for Healthy AgeingAlex Shaykevich - The University of Western AustraliaOlivier Girard - The University of Western Australia
- Publication Details
- Journal of sports sciences, Vol.42(9), pp.847-850
- Publisher
- Informa UK Limited, trading as Taylor & Francis Group.
- Identifiers
- 991005680465807891
- Copyright
- © 2024 The Author(s).
- Murdoch Affiliation
- Centre for Healthy Ageing
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.172 Sports Science
- 1.172.648 Exercise Physiology
- Web Of Science research areas
- Sport Sciences
- ESI research areas
- Clinical Medicine