Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A standardised template for reporting lower limb kinematic waveform movement compensations from a sensor-based portable clinical movement analysis toolkit

Button, K ORCID: https://orcid.org/0000-0003-1073-9901, Felemban, M, Davies, JL ORCID: https://orcid.org/0000-0001-7635-4815, Nicholas, K ORCID: https://orcid.org/0000-0001-6924-9291, Parry-Williams, J, Muaidi, Q and Al-Amri, M ORCID: https://orcid.org/0000-0003-2806-0462 2022. A standardised template for reporting lower limb kinematic waveform movement compensations from a sensor-based portable clinical movement analysis toolkit. IPEM-Translation 1 , 100001. 10.1016/j.ipemt.2021.100001

[thumbnail of A standardised template for reporting lower limb kinematic waveform movement compensations from a sensor-based portable clinical movement analysis toolkit PUBLISHED VERSI.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (989kB) | Preview

Abstract

Objectives To develop a standardised template to support physiotherapist reporting of lower limb kinematic waveform data Design Within and between user agreement identification of movement compensation strategies. Setting University Health Board Physiotherapy Department Participants Fourteen individuals with anterior cruciate ligament reconstruction performed overground gait, double-leg squat, and stair ascent wearing body-worn sensors. Six users viewed 252 kinematic waveforms of hip, knee and ankle joint angles in the sagittal and frontal planes. Main outcome measures Between and within-user observed agreement and themes from movement analysis reports Results Between-user observed agreement for presence of a movement compensation was 0.6–0.9 for the sagittal plane and 0.75–1.0 for the frontal place. Within-user observed agreement was 0.57–1.00 for the sagittal plane and 0.71–1.00 for the frontal plane. Three themes and seven categories were identified from the waveform interpretations: Amount (qualitative and quantitative description), timing (phase, discrete time point, cycle), and nature (peak, range of motion, timing) of the compensation. Conclusion There was good agreement between users at identifying the presence of movement compensation from the kinematic waveforms, but there was variation in how movement compensations were described. An interactive report, a standardised template for interpretation of kinematic waveforms, and training to support the clinical application of a movement analysis toolkit are proposed.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Healthcare Sciences
Additional Information: This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
ISSN: 2667-2588
Date of First Compliant Deposit: 17 January 2022
Date of Acceptance: 15 November 2021
Last Modified: 29 Nov 2022 10:35
URI: https://orca.cardiff.ac.uk/id/eprint/146742

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics