Literature DB >> 33374324

Assessment of Biomechanical Response to Fatigue through Wearable Sensors in Semi-Professional Football Referees.

Luigi Truppa1,2, Michelangelo Guaitolini1,2, Pietro Garofalo3, Carlo Castagna4,5, Andrea Mannini1,2,6.   

Abstract

Quantifying muscle fatigue is a key aspect of everyday sport practice. A reliable and objective solution that can fulfil this task would be deeply important for two main reasons: (i) it would grant an objective indicator to adjust the daily training load for each player and (ii) it would provide an innovative tool to reduce the risk of fatigue-related injuries. Available solutions for objectively quantifying the fatigue level of fatigue can be invasive for the athlete; they could alter the performance or they are not compatible with daily practice on the playground. Building on previous findings that identified fatigue-related parameters in the kinematic of the counter-movement jump (CMJ), this study evaluates the physical response to a fatigue protocol (i.e., Yo-Yo Intermittent Recovery Test Level 1) in 16 football referees, by monitoring CMJ performance with wearable magneto-inertial measurement units (MIMU). Nineteen kinematic parameters were selected as suitable indicators for fatigue detection. The analysis of their variations allowed us to distinguish two opposites but coherent responses to the fatigue protocol. Indeed, eight out of sixteen athletes showed reduced performance (e.g., an effective fatigue condition), while the other eight athletes experienced an improvement of the execution likely due to the so-called Post-Activation Potentiation. In both cases, the above parameters were significantly influenced by the fatigue protocol (p < 0.05), confirming their validity for fatigue monitoring. Interesting correlations between several kinematic parameters and muscular mass were highlighted in the fatigued group. Finally, a "fatigue approximation index" was proposed and validated as fatigue quantifier.

Entities:  

Keywords:  biomechanics; counter-movement jump; fatigue detection; football; wearable inertial sensors

Mesh:

Year:  2020        PMID: 33374324      PMCID: PMC7795543          DOI: 10.3390/s21010066

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  28 in total

1.  Vertical jump coordination: fatigue effects.

Authors:  André Luiz Felix Rodacki; Neil E Fowler; Simon J Bennett
Journal:  Med Sci Sports Exerc       Date:  2002-01       Impact factor: 5.411

Review 2.  The Yo-Yo intermittent recovery test : a useful tool for evaluation of physical performance in intermittent sports.

Authors:  Jens Bangsbo; F Marcello Iaia; Peter Krustrup
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

3.  Postactivation potentiation in professional rugby players: optimal recovery.

Authors:  Liam P Kilduff; Huw R Bevan; Mike I C Kingsley; Nick J Owen; Mark A Bennett; Paul J Bunce; Andrew M Hore; Jonathan R Maw; Dan J Cunningham
Journal:  J Strength Cond Res       Date:  2007-11       Impact factor: 3.775

Review 4.  Meta-analysis of postactivation potentiation and power: effects of conditioning activity, volume, gender, rest periods, and training status.

Authors:  Jacob M Wilson; Nevine M Duncan; Pedro J Marin; Lee E Brown; Jeremy P Loenneke; Stephanie M C Wilson; Edward Jo; Ryan P Lowery; Carlos Ugrinowitsch
Journal:  J Strength Cond Res       Date:  2013-03       Impact factor: 3.775

5.  Countermovement Jump Recovery in Professional Soccer Players Using an Inertial Sensor.

Authors:  Malachy P McHugh; Tom Clifford; Will Abbott; Susan Y Kwiecien; Ian J Kremenic; Joseph J DeVita; Glyn Howatson
Journal:  Int J Sports Physiol Perform       Date:  2018-05-29       Impact factor: 4.010

6.  Alternative countermovement-jump analysis to quantify acute neuromuscular fatigue.

Authors:  Rob Gathercole; Ben Sporer; Trent Stellingwerff; Gord Sleivert
Journal:  Int J Sports Physiol Perform       Date:  2014-06-06       Impact factor: 4.010

Review 7.  Exercise, muscle damage and fatigue.

Authors:  H J Appell; J M Soares; J A Duarte
Journal:  Sports Med       Date:  1992-02       Impact factor: 11.136

8.  A Subject-Specific Approach to Detect Fatigue-Related Changes in Spine Motion Using Wearable Sensors.

Authors:  Victor C H Chan; Shawn M Beaudette; Kenneth B Smale; Kristen H E Beange; Ryan B Graham
Journal:  Sensors (Basel)       Date:  2020-05-06       Impact factor: 3.576

Review 9.  Monitoring training load to understand fatigue in athletes.

Authors:  Shona L Halson
Journal:  Sports Med       Date:  2014-11       Impact factor: 11.136

Review 10.  Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography.

Authors:  Claudio Castellini; Panagiotis Artemiadis; Michael Wininger; Arash Ajoudani; Merkur Alimusaj; Antonio Bicchi; Barbara Caputo; William Craelius; Strahinja Dosen; Kevin Englehart; Dario Farina; Arjan Gijsberts; Sasha B Godfrey; Levi Hargrove; Mark Ison; Todd Kuiken; Marko Marković; Patrick M Pilarski; Rüdiger Rupp; Erik Scheme
Journal:  Front Neurorobot       Date:  2014-08-15       Impact factor: 2.650

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  1 in total

1.  Coherence between Decomposed Components of Wrist and Finger PPG Signals by Imputing Missing Features and Resolving Ambiguous Features.

Authors:  Pei-Yun Tsai; Chiu-Hua Huang; Jia-Wei Guo; Yu-Chuan Li; An-Yeu Andy Wu; Hung-Ju Lin; Tzung-Dau Wang
Journal:  Sensors (Basel)       Date:  2021-06-24       Impact factor: 3.576

  1 in total

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