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

Autor:	Button K; School of Healthcare Sciences, Cardiff University, Cardiff, UK.; Biomechanics and Bioengineering Versus Arthritis Centre, Cardiff University, Cardiff.; Physiotherapy Department, Cardiff and Vale University Health Board, Cardiff, UK., Felemban M; School of Healthcare Sciences, Cardiff University, Cardiff, UK., Davies JL; School of Healthcare Sciences, Cardiff University, Cardiff, UK.; Biomechanics and Bioengineering Versus Arthritis Centre, Cardiff University, Cardiff., Nicholas K; School of Healthcare Sciences, Cardiff University, Cardiff, UK.; Physiotherapy Department, Cardiff and Vale University Health Board, Cardiff, UK., Parry-Williams J; Physiotherapy Department, Cardiff and Vale University Health Board, Cardiff, UK., Muaidi Q; Physical Therapy Department, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Saudi Arabia., Al-Amri M; School of Healthcare Sciences, Cardiff University, Cardiff, UK.; Biomechanics and Bioengineering Versus Arthritis Centre, Cardiff University, Cardiff.
Jazyk:	angličtina
Zdroj:	IPEM-translation [IPEM Transl] 2022 Apr; Vol. 1, pp. None.
DOI:	10.1016/j.ipemt.2021.100001
Abstrakt:	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. Competing Interests: There are no conflicts of interest (© 2021 The Author(s).)
Databáze:	MEDLINE
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