Validation of a trunk-mounted accelerometer to measure peak impacts during team sport movements

Wundersitz, D.W.T., Gastin, P.B., Robertson, S., Davey, P.C. and Netto, K.J. 2015, Validation of a trunk-mounted accelerometer to measure peak impacts during team sport movements, International journal of sports medicine, vol. 36, no. 9, pp. 742-746, doi: 10.1055/s-0035-1547265.

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Title Validation of a trunk-mounted accelerometer to measure peak impacts during team sport movements
Author(s) Wundersitz, D.W.T.
Gastin, P.B.ORCID iD for Gastin, P.B.
Robertson, S.
Davey, P.C.
Netto, K.J.
Journal name International journal of sports medicine
Volume number 36
Issue number 9
Start page 742
End page 746
Total pages 5
Publisher Thieme Medical Publisher
Place of publication New York, N.Y.
Publication date 2015
ISSN 1439-3964
Summary This study assessed the validity of an accelerometer to measure impacts in team sports. 76 participants completed a team sport circuit. Accelerations were collected concurrently at 100 Hz using an accelerometer and a 36-camera motion analysis system. The largest peak accelerations per movement were compared in 2 ways: i) pooled together and filtered at 13 different cut-off frequencies (range 6-25 Hz) to identify the optimal filtering frequency, and ii) the optimal cut-off frequency split into the 7 movements performed (n=532). Raw and 25-16 Hz filtering frequencies significantly overestimated and 6 Hz underestimated motion analysis peak accelerations (P <0.007). The 12 Hz filtered accelerometer data revealed the strongest relationship with motion analysis data (accuracy - 0.01±0.27 g, effect size - 0.01, agreement - 0.55 to 0.53 g, precision 0.27 g, and relative error 5.5%; P=1.00). The accelerometer underestimated peak accelerations during tackling and jumping, and overestimated during walking, jogging, sprinting and change of direction. Lower agreement and reduced precision were associated with sprinting, jumping and tackling. The accelerometer demonstrated an acceptable level of concurrent validity compared to a motion analysis system when filtered at a cut-off frequency of 12 Hz. The results advocate the use of accelerometers to measure movements in team sport.
Language eng
DOI 10.1055/s-0035-1547265
Field of Research 119999 Medical and Health Sciences not elsewhere classified
Socio Economic Objective 920499 Public Health (excl. Specific Population Health) not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, International Journal of Sports Medicine
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Collections: Faculty of Health
School of Exercise and Nutrition Sciences
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