Differentiating Stroke and Movement Accelerometer Profiles to Improve Prescription of Tennis Training Drills.

Perri, T; Reid, M; Murphy, A; Howle, K; Duffield, R

Differentiating Stroke and Movement Accelerometer Profiles to Improve Prescription of Tennis Training Drills.

Perri, T Reid, M Murphy, A Howle, K Duffield, R

Permalink

Publisher:: Wolters Kluwer
Publication Type:: Journal Article
Citation:: J Strength Cond Res, 2023, 37, (3), pp. 646-651
Issue Date:: 2023-03-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 1 Mar 2024

Adobe PDF

Download Accepted versionAdobe PDF (277.69 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Perri, T
dc.contributor.author	Reid, M
dc.contributor.author	Murphy, A
dc.contributor.author	Howle, K
dc.contributor.author	Duffield, R https://orcid.org/0000-0002-5641-1314
dc.date.accessioned	2023-09-11T05:24:43Z
dc.date.available	2023-09-11T05:24:43Z
dc.date.issued	2023-03-01
dc.identifier.citation	J Strength Cond Res, 2023, 37, (3), pp. 646-651
dc.identifier.issn	1064-8011
dc.identifier.issn	1533-4287
dc.identifier.uri	http://hdl.handle.net/10453/172033
dc.description.abstract	Perri, T, Reid, M, Murphy, A, Howle, K, and Duffield, R. Differentiating stroke and movement accelerometer profiles to improve prescription of tennis training drills. J Strength Cond Res 37(3): 646-651, 2023-This study compared the movement- and stroke-related accelerometer profiles and stroke counts between common on-court tennis training drills. Ten, junior-elite, male tennis players wore a cervical-mounted global positioning systems, with in-built accelerometer, gyroscope, and magnetometer during hard court training sessions ( n = 189). Individual training drills were classified into 8 categories based on previous research descriptions. Manufacturer software calculated total player load (tPL), while a prototype algorithm detected forehand (FH), backhands (BH), and serves and then calculated a stroke player load (sPL) from individual strokes. Movement player load (mPL) was calculated as the difference between tPL and sPL. Drill categories were compared for relative ( . min -1 ) tPL, sPL, mPL, and stroke counts via a 1-way analysis of variance with effect sizes (Cohen's d ) and 95% confidence intervals. Highest tPL . min -1 existed in accuracy and recovery or defensive drills ( p < 0.05), with lowest tPL·min -1 values observed in match-play simulation ( p < 0.05). For sPL·min -1 , accuracy drills elicited greater values compared with all other drill types ( p < 0.05), partly via greater FH-sPL·min -1 ( p < 0.05), with lowest sPL·min -1 existing for match-play ( p < 0.05). Accuracy, open, and recovery or defensive drills result in greater BH-sPL·min -1 and BH . min -1 ( p < 0.05). Serve-sPL·min -1 is highest in technical and match-play drills ( p < 0.05). Higher mPL·min -1 existed in accuracy, recovery or defensive, 2v1 net, open, and 2v1 baseline ( p < 0.05). Furthermore, mPL·min -1 in points drills was greater than technical and match-play simulation drills ( p < 0.05). Higher hitting-based accelerometer loads (sPL·min -1 ) exist in accuracy drills, whereas technical and match-play drills show the lowest movement demands (mPL·min -1 ). These findings can aid individual drill prescription for targeting movement or hitting load.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Wolters Kluwer
dc.relation.ispartof	J Strength Cond Res
dc.relation.isbasedon	10.1519/JSC.0000000000004318
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	1106 Human Movement and Sports Sciences, 1116 Medical Physiology
dc.subject.classification	Sport Sciences
dc.subject.classification	3202 Clinical sciences
dc.subject.classification	3208 Medical physiology
dc.subject.classification	4207 Sports science and exercise
dc.subject.mesh	Humans
dc.subject.mesh	Male
dc.subject.mesh	Tennis
dc.subject.mesh	Athletic Performance
dc.subject.mesh	Movement
dc.subject.mesh	Geographic Information Systems
dc.subject.mesh	Accelerometry
dc.subject.mesh	Humans
dc.subject.mesh	Movement
dc.subject.mesh	Tennis
dc.subject.mesh	Geographic Information Systems
dc.subject.mesh	Male
dc.subject.mesh	Athletic Performance
dc.subject.mesh	Accelerometry
dc.subject.mesh	Humans
dc.subject.mesh	Male
dc.subject.mesh	Tennis
dc.subject.mesh	Athletic Performance
dc.subject.mesh	Movement
dc.subject.mesh	Geographic Information Systems
dc.subject.mesh	Accelerometry
dc.title	Differentiating Stroke and Movement Accelerometer Profiles to Improve Prescription of Tennis Training Drills.
dc.type	Journal Article
utslib.citation.volume	37
utslib.location.activity	United States
utslib.for	1106 Human Movement and Sports Sciences
utslib.for	1116 Medical Physiology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2024-03-01T00:00:00+1000Z
dc.date.updated	2023-09-11T05:24:42Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	37
utslib.citation.issue	3

Abstract:

Perri, T, Reid, M, Murphy, A, Howle, K, and Duffield, R. Differentiating stroke and movement accelerometer profiles to improve prescription of tennis training drills. J Strength Cond Res 37(3): 646-651, 2023-This study compared the movement- and stroke-related accelerometer profiles and stroke counts between common on-court tennis training drills. Ten, junior-elite, male tennis players wore a cervical-mounted global positioning systems, with in-built accelerometer, gyroscope, and magnetometer during hard court training sessions ( n = 189). Individual training drills were classified into 8 categories based on previous research descriptions. Manufacturer software calculated total player load (tPL), while a prototype algorithm detected forehand (FH), backhands (BH), and serves and then calculated a stroke player load (sPL) from individual strokes. Movement player load (mPL) was calculated as the difference between tPL and sPL. Drill categories were compared for relative ( . min -1 ) tPL, sPL, mPL, and stroke counts via a 1-way analysis of variance with effect sizes (Cohen's d ) and 95% confidence intervals. Highest tPL . min -1 existed in accuracy and recovery or defensive drills ( p < 0.05), with lowest tPL·min -1 values observed in match-play simulation ( p < 0.05). For sPL·min -1 , accuracy drills elicited greater values compared with all other drill types ( p < 0.05), partly via greater FH-sPL·min -1 ( p < 0.05), with lowest sPL·min -1 existing for match-play ( p < 0.05). Accuracy, open, and recovery or defensive drills result in greater BH-sPL·min -1 and BH . min -1 ( p < 0.05). Serve-sPL·min -1 is highest in technical and match-play drills ( p < 0.05). Higher mPL·min -1 existed in accuracy, recovery or defensive, 2v1 net, open, and 2v1 baseline ( p < 0.05). Furthermore, mPL·min -1 in points drills was greater than technical and match-play simulation drills ( p < 0.05). Higher hitting-based accelerometer loads (sPL·min -1 ) exist in accuracy drills, whereas technical and match-play drills show the lowest movement demands (mPL·min -1 ). These findings can aid individual drill prescription for targeting movement or hitting load.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/172033