Citation

Winiarski S, Rutkowska-Kucharska A, Pozowski A, Aleksandrowicz K. Appl. Bionics Biomech. 2019; 2019: e7863674.

Affiliation

Department of Physiotherapy, Faculty of Health Sciences, Wroclaw Medical University, Wroclaw, Poland.

Copyright

(Copyright © 2019, Hindawi Publishing)

DOI

10.1155/2019/7863674

PMID

31885689

PMCID

PMC6915000

Abstract

PURPOSE: We propose a new concept of symmetry, the symmetry function, as a continuous function of the percentage of differences between sides of body movement and normalised throughout the whole range of motion. The method is used to assess the dynamical symmetry of gait of patients after unilateral total hip replacement (asymmetric group) and healthy people (symmetric group) and also to reveal discrepancies between normal and abnormal movement patterns.

METHODS: The gait of twelve male patients (49.7 ± 2.8 y), six weeks after unilateral total hip replacement (uTHR), was analysed against the gait of thirteen healthy men (36.1 ± 3.1 y). The speed of healthy men was matched to the speed of the patients. Comparison of the affected limb in uTHR patients with the healthy limb of able-bodied men was carried out on the basis of the highest symmetry values in the sagittal plane.

RESULTS: In uTHR patients, the symmetry function provides information on the symmetry of movements in the whole range of motion in contrast to symmetry indices which are calculated for selected parameters or peak values. Research revealed average asymmetric discrepancies for pelvic tilt up to 250% for the entire gait cycle with a peak of approx. 400% at the end of the loading response and terminal swing phases. Asymmetry of gait observed in other joints was below 200% of the mean range of motion.

CONCLUSIONS: Regions of the greatest asymmetry in pathological movements are usually different from the region of the greatest range of motion. Therefore, it is insufficient to measure symmetry only for selected regions during motion. The symmetry function is a simple method which can complement other robust methods in time series data evaluation and interpretation.

Copyright © 2019 Slawomir Winiarski et al.

Language: en