Literature DB >> 33368031

The Validity and Reliability of Wearable Microtechnology for Intermittent Team Sports: A Systematic Review.

Zachary L Crang1, Grant Duthie2, Michael H Cole3, Jonathon Weakley3,4, Adam Hewitt3, Rich D Johnston3,4.   

Abstract

BACKGROUND: Technology has long been used to track player movements in team sports, with initial tracking via manual coding of video footage. Since then, wearable microtechnology in the form of global and local positioning systems has provided a less labour-intensive way of monitoring movements. As such, there has been a proliferation in research pertaining to these devices.
OBJECTIVE: A systematic review of studies that investigate the validity and/or reliability of wearable microtechnology to quantify movement and specific actions common to intermittent team sports.
METHODS: A systematic search of CINAHL, MEDLINE, and SPORTDiscus was performed; studies included must have been (1) original research investigations; (2) full-text articles written in English; (3) published in a peer-reviewed academic journal; and (4) assessed the validity and/or reliability of wearable microtechnology to quantify movements or specific actions common to intermittent team sports.
RESULTS: A total of 384 studies were retrieved and 187 were duplicates. The titles and abstracts of 197 studies were screened and the full texts of 88 manuscripts were assessed. A total of 62 studies met the inclusion criteria. Additional 10 studies, identified via reference list assessment, were included. Therefore, a total of 72 studies were included in this review.
CONCLUSION: There are many studies investigating the validity and reliability of wearable microtechnology to track movement and detect sport-specific actions. It is evident that for the majority of metrics, validity and reliability are multi-factorial, in that it is dependent upon a wide variety of factors including wearable technology brand and model, sampling rate, type of movement performed (e.g., straight line, change of direction) and intensity of movement (e.g., walk, sprint). Practitioners should be mindful of the accuracy and repeatability of the devices they are using when making decisions on player training loads.

Mesh:

Year:  2020        PMID: 33368031     DOI: 10.1007/s40279-020-01399-1

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  72 in total

1.  Relationship Between Training Load, Fitness, and Injury Over an Australian Rules Football Preseason.

Authors:  Peter W Harrison; Rich D Johnston
Journal:  J Strength Cond Res       Date:  2017-10       Impact factor: 3.775

Review 2.  Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review.

Authors:  Cloe Cummins; Rhonda Orr; Helen O'Connor; Cameron West
Journal:  Sports Med       Date:  2013-10       Impact factor: 11.136

3.  Validity of Real-Time Ultra-wideband Global Navigation Satellite System Data Generated by a Wearable Microtechnology Unit.

Authors:  Rich D Johnston; Adam Hewitt; Grant Duthie
Journal:  J Strength Cond Res       Date:  2020-07       Impact factor: 3.775

4.  Wearable microtechnology can accurately identify collision events during professional rugby league match-play.

Authors:  Billy T Hulin; Tim J Gabbett; Rich D Johnston; David G Jenkins
Journal:  J Sci Med Sport       Date:  2017-01-23       Impact factor: 4.319

Review 5.  The Relationship Between Training Load and Injury in Athletes: A Systematic Review.

Authors:  Timothy G Eckard; Darin A Padua; Darren W Hearn; Brett S Pexa; Barnett S Frank
Journal:  Sports Med       Date:  2018-08       Impact factor: 11.136

6.  Automatic detection of one-on-one tackles and ruck events using microtechnology in rugby union.

Authors:  Ryan M Chambers; Tim J Gabbett; Ritu Gupta; Casey Josman; Rhodri Bown; Paul Stridgeon; Michael H Cole
Journal:  J Sci Med Sport       Date:  2019-01-06       Impact factor: 4.319

7.  Validity of a Microsensor-Based Algorithm for Detecting Scrum Events in Rugby Union.

Authors:  Ryan M Chambers; Tim J Gabbett; Michael H Cole
Journal:  Int J Sports Physiol Perform       Date:  2019-01-02       Impact factor: 4.010

8.  Influence of physical fitness, age, experience, and weekly training load on match performance in elite Australian football.

Authors:  Paul B Gastin; Brendan Fahrner; Denny Meyer; Dean Robinson; Jill L Cook
Journal:  J Strength Cond Res       Date:  2013-05       Impact factor: 3.775

9.  The validity of microsensors to automatically detect bowling events and counts in cricket fast bowlers.

Authors:  Dean J McNamara; Tim J Gabbett; Paul Chapman; Geraldine Naughton; Patrick Farhart
Journal:  Int J Sports Physiol Perform       Date:  2014-06-06       Impact factor: 4.010

Review 10.  The Relationship Between Training Load and Injury, Illness and Soreness: A Systematic and Literature Review.

Authors:  Michael K Drew; Caroline F Finch
Journal:  Sports Med       Date:  2016-06       Impact factor: 11.136

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  6 in total

1.  Validity and Reliability of the Inertial Measurement Unit for Barbell Velocity Assessments: A Systematic Review.

Authors:  Filipe Manuel Clemente; Zeki Akyildiz; José Pino-Ortega; Markel Rico-González
Journal:  Sensors (Basel)       Date:  2021-04-03       Impact factor: 3.576

2.  A Validation Study of Heart Rate Variability Index in Monitoring Basketball Training Load.

Authors:  Naijing Jin; Jie Tian; Yue Li; Jing Mi
Journal:  Front Physiol       Date:  2022-04-25       Impact factor: 4.755

3.  The field and resistance training loads of academy rugby league players during a pre-season: Comparisons across playing positions.

Authors:  David Anthony Moore; Ben Jones; Jonathon Weakley; Sarah Whitehead; Kevin Till
Journal:  PLoS One       Date:  2022-08-09       Impact factor: 3.752

4.  Using global navigation satellite systems for modeling athletic performances in elite football players.

Authors:  Waleed Ragheb; Valentin Leveau; Frank Imbach; Romain Chailan; Robin Candau; Stephane Perrey
Journal:  Sci Rep       Date:  2022-09-08       Impact factor: 4.996

Review 5.  The Maximal Intensity Period: Rationalising its Use in Team Sports Practice.

Authors:  Dan Weaving; Damien Young; Andrea Riboli; Ben Jones; Giuseppe Coratella
Journal:  Sports Med Open       Date:  2022-10-12

6.  Measurement properties of external training load variables during standardised games in soccer: Implications for training and monitoring strategies.

Authors:  Jo Clubb; Chris Towlson; Steve Barrett
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

  6 in total

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