Monitoring Fatigue During Intermittent Exercise With Accelerometer-Derived Metrics
The aim of this study was to assess the sensitivity of accelerometer-derived metrics for monitoring fatigue during an intermittent exercise protocol. Fifteen university students were enrolled in the study (age 20 ± 1 years). A submaximal intermitted recovery test (Sub-IRT) with a duration of 6 min a...
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| Published in: | Frontiers in physiology Vol. 10; p. 780 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Switzerland
Frontiers Media S.A
26-06-2019
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| Subjects: | |
| Online Access: | Get full text |
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| Summary: | The aim of this study was to assess the sensitivity of accelerometer-derived metrics for monitoring fatigue during an intermittent exercise protocol. Fifteen university students were enrolled in the study (age 20 ± 1 years). A submaximal intermitted recovery test (Sub-IRT) with a duration of 6 min and 30 s (drill 1) was performed. In order to increase the participants' fatigue, after that, a repeated sprint protocol (1×6 maximal 20 m sprints) was performed. Following that, participants repeated the Sub-IRT (drill 2) to evaluate the external and internal training load (TL) variations related to fatigue. Apex 10 Hz global navigation satellite system (GNSS) units were used to collect the variables total distance (TD), high metabolic distance (HMD), relative velocity (RV), average metabolic power (MP), heart rate maximal (HRmax) and mean (HRmean), muscular (RPEmus) and respiratory rating of perceived exertion (RPEres), dynamic stress load (DSL), and fatigue index (FI). A Bayesian statistical approach was used. A likelihood difference (between drill 1 and drill 2) was found for the following parameters: TD (BF
= 0.33,
), HMD (BF
= 1.3,
), RV (BF
= 0.29,
), MP (BF
= 1.3,
), accelerations (BF
= 1.6,
), FI (BF
= 4.7,
), HRmax (BF
= 2.2,
), HRmean (BF
= 4.3,
), RPEmus (BF
= 11.6,
), RPEres (BF
= 3.1,
), DSL (BF
= 5.7,
), and DSL•m
(BF
= 4.3,
). In conclusion, this study reports that DSL, DSL•m
, and FI can be valid metrics to monitor fatigue related to movement strategy during a standardized submaximal intermittent exercise protocol. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Francis Degache, University of Applied Sciences and Arts of Western Switzerland, Switzerland This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology Reviewed by: G. Gregory Haff, Edith Cowan University, Australia; Hamdi Chtourou, University of Sfax, Tunisia |
| ISSN: | 1664-042X 1664-042X |
| DOI: | 10.3389/fphys.2019.00780 |