Literature DB >> 25834998

The Use of Wearable Microsensors to Quantify Sport-Specific Movements.

Ryan Chambers1, Tim J Gabbett, Michael H Cole, Adam Beard.   

Abstract

BACKGROUND: Microtechnology has allowed sport scientists to understand the locomotor demands of various sports. While wearable global positioning technology has been used to quantify the locomotor demands of sporting activities, microsensors (i.e. accelerometers, gyroscopes and magnetometers) embedded within the units also have the capability to detect sport-specific movements.
OBJECTIVE: The objective of this study was to determine the extent to which microsensors (also referred to as inertial measurement units and microelectromechanical sensors) have been utilised in quantifying sport-specific movements.
METHODS: A systematic review of the use of microsensors and associated terms to evaluate sport-specific movements was conducted; permutations of the terms used included alternate names of the various technologies used, their applications and different applied environments. Studies for this review were published between 2008 and 2014 and were identified through a systematic search of six electronic databases: Academic Search Complete, CINAHL, PsycINFO, PubMed, SPORTDiscus, and Web of Science. Articles were required to have used athlete-mounted sensors to detect sport-specific movements (e.g. rugby union tackle) rather than sensors mounted to equipment and monitoring generic movement patterns.
RESULTS: A total of 2395 studies were initially retrieved from the six databases and 737 results were removed as they were duplicates, review articles or conference abstracts. After screening titles and abstracts of the remaining papers, the full text of 47 papers was reviewed, resulting in the inclusion of 28 articles that met the set criteria around the application of microsensors for detecting sport-specific movements. Eight articles addressed the use of microsensors within individual sports, team sports provided seven results, water sports provided eight articles, and five articles addressed the use of microsensors in snow sports. All articles provided evidence of the ability of microsensors to detect sport-specific movements. Results demonstrated varying purposes for the use of microsensors, encompassing the detection of movement and movement frequency, the identification of movement errors and the assessment of forces during collisions.
CONCLUSION: This systematic review has highlighted the use of microsensors to detect sport-specific movements across a wide range of individual and team sports. The ability of microsensors to capture sport-specific movements emphasises the capability of this technology to provide further detail on athlete demands and performance. However, there was mixed evidence on the ability of microsensors to quantify some movements (e.g. tackling within rugby union, rugby league and Australian rules football). Given these contrasting results, further research is required to validate the ability of wearable microsensors containing accelerometers, gyroscopes and magnetometers to detect tackles in collision sports, as well as other contact events such as the ruck, maul and scrum in rugby union.

Entities:  

Mesh:

Year:  2015        PMID: 25834998     DOI: 10.1007/s40279-015-0332-9

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


  29 in total

1.  Quantifying freestyle kick-count and kick-rate patterns in Paralympic swimming.

Authors:  Sacha K Fulton; David B Pyne; Brendan Burkett
Journal:  J Sports Sci       Date:  2009-11       Impact factor: 3.337

2.  Quantifying movement demands of AFL football using GPS tracking.

Authors:  Ben Wisbey; Paul G Montgomery; David B Pyne; Ben Rattray
Journal:  J Sci Med Sport       Date:  2009-11-07       Impact factor: 4.319

3.  Physical demands of professional rugby league training and competition using microtechnology.

Authors:  Tim J Gabbett; David G Jenkins; Bruce Abernethy
Journal:  J Sci Med Sport       Date:  2011-08-05       Impact factor: 4.319

4.  The reliability of MinimaxX accelerometers for measuring physical activity in Australian football.

Authors:  Luke J Boyd; Kevin Ball; Robert J Aughey
Journal:  Int J Sports Physiol Perform       Date:  2011-09       Impact factor: 4.010

5.  Determination of sleep and wakefulness with the actigraph data analysis software (ADAS).

Authors:  G Jean-Louis; H von Gizycki; F Zizi; J Fookson; A Spielman; J Nunes; R Fullilove; H Taub
Journal:  Sleep       Date:  1996-11       Impact factor: 5.849

6.  Automatic front-crawl temporal phase detection using adaptive filtering of inertial signals.

Authors:  Farzin Dadashi; Florent Crettenand; Grégoire P Millet; Ludovic Seifert; John Komar; Kamiar Aminian
Journal:  J Sports Sci       Date:  2013-04-05       Impact factor: 3.337

7.  Physical demands of training and competition in collegiate netball players.

Authors:  Phillip T Chandler; Sarah J Pinder; Jourdan D Curran; Tim J Gabbett
Journal:  J Strength Cond Res       Date:  2014-10       Impact factor: 3.775

8.  Combining internal- and external-training-load measures in professional rugby league.

Authors:  Dan Weaving; Phil Marshall; Keith Earle; Alan Nevill; Grant Abt
Journal:  Int J Sports Physiol Perform       Date:  2014-02-28       Impact factor: 4.010

9.  Tackle and impact detection in elite Australian football using wearable microsensor technology.

Authors:  Paul B Gastin; Owen C McLean; Ray V P Breed; Michael Spittle
Journal:  J Sports Sci       Date:  2014-02-06       Impact factor: 3.337

10.  The relationship between workloads, physical performance, injury and illness in adolescent male football players.

Authors:  Tim J Gabbett; Douglas G Whyte; Timothy B Hartwig; Holly Wescombe; Geraldine A Naughton
Journal:  Sports Med       Date:  2014-07       Impact factor: 11.136

View more
  55 in total

Review 1.  Application of Global Positioning System and Microsensor Technology in Competitive Rugby League Match-Play: A Systematic Review and Meta-analysis.

Authors:  Joanne Hausler; Mark Halaki; Rhonda Orr
Journal:  Sports Med       Date:  2016-04       Impact factor: 11.136

Review 2.  Activity Demands During Multi-Directional Team Sports: A Systematic Review.

Authors:  Jeffrey B Taylor; Alexis A Wright; Steven L Dischiavi; M Allison Townsend; Adam R Marmon
Journal:  Sports Med       Date:  2017-12       Impact factor: 11.136

3.  Accelerometer Load Profiles for Basketball-Specific Drills in Elite Players.

Authors:  Xavi Schelling; Lorena Torres
Journal:  J Sports Sci Med       Date:  2016-12-01       Impact factor: 2.988

4.  Measuring Physical Demands in Basketball: An Explorative Systematic Review of Practices.

Authors:  Jennifer L Russell; Blake D McLean; Franco M Impellizzeri; Donnie S Strack; Aaron J Coutts
Journal:  Sports Med       Date:  2021-01       Impact factor: 11.136

Review 5.  Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review.

Authors:  Valentina Camomilla; Elena Bergamini; Silvia Fantozzi; Giuseppe Vannozzi
Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

Review 6.  Effects of and Response to Mechanical Loading on the Knee.

Authors:  David S Logerstedt; Jay R Ebert; Toran D MacLeod; Bryan C Heiderscheit; Tim J Gabbett; Brian J Eckenrode
Journal:  Sports Med       Date:  2021-10-20       Impact factor: 11.136

7.  All printable snow-based triboelectric nanogenerator.

Authors:  Abdelsalam Ahmed; Islam Hassan; Islam M Mosa; Esraa Elsanadidy; Gayatri S Phadke; Maher F El-Kady; James F Rusling; Ponnambalam Ravi Selvaganapathy; Richard B Kaner
Journal:  Nano Energy       Date:  2019-03-12       Impact factor: 17.881

8.  Comparison of Official and Friendly Matches through Acceleration, Deceleration and Metabolic Power Measures: A Full-Season Study in Professional Soccer Players.

Authors:  Hadi Nobari; Sara Mahmoudzadeh Khalili; Rafael Oliveira; Alfonso Castillo-Rodríguez; Jorge Pérez-Gómez; Luca Paolo Ardigò
Journal:  Int J Environ Res Public Health       Date:  2021-06-02       Impact factor: 3.390

9.  A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load.

Authors:  Enzo Hollville; Antoine Couturier; Gaël Guilhem; Giuseppe Rabita
Journal:  Sensors (Basel)       Date:  2021-05-13       Impact factor: 3.576

10.  A low-cost stand-alone platform for measuring motor behavior across developmental applications.

Authors:  Andrea Cavallo; Nathan C Foster; Karthikeyan Kalyanasundaram Balasubramanian; Andrea Merello; Giorgio Zini; Marco Crepaldi; Cristina Becchio
Journal:  iScience       Date:  2021-06-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.