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Article

A Comparative Analysis of Symmetry Indices for Spatiotemporal Gait Features in Early Parkinson’s Disease

by
Erasmia Giannakou
1,
Styliani Fotiadou
1,2,
Vassilios Gourgoulis
1,
Georgios Mavrommatis
3 and
Nikolaos Aggelousis
1,*
1
Department of Physical Education and Sport Science, School of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
2
Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
3
Department of Physical Education and Sport Science, School of Physical Education and Sport Science, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Neurol. Int. 2023, 15(3), 1129-1139; https://doi.org/10.3390/neurolint15030070
Submission received: 19 July 2023 / Revised: 19 August 2023 / Accepted: 5 September 2023 / Published: 7 September 2023
(This article belongs to the Collection Advances in Neurodegenerative Diseases)

Abstract

This study compared the five most commonly used equations for calculating gait symmetry in discrete variables among Parkinson’s disease patients. Twelve patients (five women and seven men) performed ten consecutive gait trials on a 10 m walkway. Gait data were collected using eight optoelectronic cameras (100 fr/s). The analysis focused on various spatiotemporal parameters, including cadence, step time, stride time, single support, double support, walking speed, step length, stride length, step width, and foot angle. Five symmetry indices were calculated for each trial rather than averaging the ten recorded trials. The variability in and reliability of each symmetry equation were assessed using the coefficient of variation (CV) and intraclass correlation coefficient (ICC), respectively. Additionally, Bland–Altman plots were produced to visualize the agreement between each pair of methods for each spatiotemporal parameter. The results revealed that the symmetry ratio method exhibited lower variability and higher reliability compared with the other four indices across all spatiotemporal gait parameters. However, it was found that the reliability of a single trial was generally poor, regardless of the symmetry calculation formula used. Therefore, we recommend basing measurements of gait asymmetry in Parkinson’s disease on multiple trials.
Keywords: gait analysis; asymmetry; Parkinson’s disease gait analysis; asymmetry; Parkinson’s disease

Share and Cite

MDPI and ACS Style

Giannakou, E.; Fotiadou, S.; Gourgoulis, V.; Mavrommatis, G.; Aggelousis, N. A Comparative Analysis of Symmetry Indices for Spatiotemporal Gait Features in Early Parkinson’s Disease. Neurol. Int. 2023, 15, 1129-1139. https://doi.org/10.3390/neurolint15030070

AMA Style

Giannakou E, Fotiadou S, Gourgoulis V, Mavrommatis G, Aggelousis N. A Comparative Analysis of Symmetry Indices for Spatiotemporal Gait Features in Early Parkinson’s Disease. Neurology International. 2023; 15(3):1129-1139. https://doi.org/10.3390/neurolint15030070

Chicago/Turabian Style

Giannakou, Erasmia, Styliani Fotiadou, Vassilios Gourgoulis, Georgios Mavrommatis, and Nikolaos Aggelousis. 2023. "A Comparative Analysis of Symmetry Indices for Spatiotemporal Gait Features in Early Parkinson’s Disease" Neurology International 15, no. 3: 1129-1139. https://doi.org/10.3390/neurolint15030070

APA Style

Giannakou, E., Fotiadou, S., Gourgoulis, V., Mavrommatis, G., & Aggelousis, N. (2023). A Comparative Analysis of Symmetry Indices for Spatiotemporal Gait Features in Early Parkinson’s Disease. Neurology International, 15(3), 1129-1139. https://doi.org/10.3390/neurolint15030070

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