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

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 ind...

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Detalles Bibliográficos
Autores principales: Button, K, Felemban, M, Davies, JL, Nicholas, K, Parry-Williams, J, Muaidi, Q, Al-Amri, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113669/
https://www.ncbi.nlm.nih.gov/pubmed/35685912
http://dx.doi.org/10.1016/j.ipemt.2021.100001
Descripción
Sumario: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.