Gait analysis of patients with Parkinson’s disease in relation
to apposite data selection

SITEK, Ondřej, Miriam KALICHOVÁ, Petr HEDBÁVNÝ, Marek BALÁŽ and Tomáš BOUŠEK. Gait analysis of patients with Parkinson’s disease in relation to apposite data selection. Online. In dr.HenrietteDancs. Recent researches in sports science. Szombathely: Savaria Press, 2020, p. 14-29. ISSN 2732-1274.

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TY  - JOUR
ID  - 1756698
AU  - Sitek, Ondřej - Kalichová, Miriam - Hedbávný, Petr - Baláž, Marek - Boušek, Tomáš
PY  - 2020
TI  - Gait analysis of patients with Parkinson’s disease in relation to apposite data selection
PB  - Savaria Press
CY  - Szombathely
KW  - Asymmetry
KW  - factor analysis
KW  - kinematic analysis
KW  - neurodegenerative diseases
KW  - stride
UR  - https://edit.elte.hu/xmlui/handle/10831/50530
N2  - In Parkinson’s disease (PD) patients, the motor symptoms (tremor, freezing of gait) fall within the ones with the most deteriorating impact on quality of life. In order to introduce our unique intervention programme based on exercise with vibration rings, we must clarify what motion variables are apt to be followed and evaluated. This pilot study aims to determine the most fitting variables for the long-term observation of the motor development influenced by the intervention programme. We examined 11 individuals (4 females, 7 males, 63.76 ± 10.33 yrs) diagnosed with PD. We performed 3D kinematic gait analysis (5 trials × 7 m) using the SIMI Motion system. For each individual, 15 anatomical points of the body were marked and, subsequently, 105 spatio-temporal characteristics of locomotion were evaluated. Variability and correlation between the variables were evaluated, as well as the degree of lateral asymmetry. Factor analysis was used for variables number reduction. The most suitable variables for assessing the developing effect of the intervention programme are the single and double support time and other gait time variables. The variability of the gait model can be determined by 71 %; the greatest significance is distributed between three factors: F1 – gait time parameters, F2 – lower limbs segments angles in initial and terminal contact with the ground, and F3 – gait velocity parameters and step dimensions. For the upcoming research, the time variables are the most suitable thanks to their optimal variability. The factor analysis enables fusion of analysed variables; the low level of side asymmetry in key variables authorises us to omit its influence on the gait model in PD patients. The balance abilities of the patients need to be questioned and measured in the upcoming research, for further interpretation of the data.
ER  -

Basic information
Original name	Gait analysis of patients with Parkinson’s disease in relation to apposite data selection
Authors	SITEK, Ondřej (203 Czech Republic, belonging to the institution), Miriam KALICHOVÁ (203 Czech Republic, guarantor, belonging to the institution), Petr HEDBÁVNÝ (203 Czech Republic, belonging to the institution), Marek BALÁŽ (703 Slovakia, belonging to the institution) and Tomáš BOUŠEK (203 Czech Republic, belonging to the institution).
Edition	Szombathely, Recent researches in sports science, p. 14-29, 16 pp. 2020.
Publisher	Savaria Press

Other information
Original language	English
Type of outcome	Proceedings paper
Field of Study	30103 Neurosciences
Country of publisher	Hungary
Confidentiality degree	is not subject to a state or trade secret
Publication form	electronic version available online
WWW	URL
RIV identification code	RIV/00216224:14510/20:00118465
Organization unit	Faculty of Sports Studies
ISSN	2732-1274
Keywords in English	Asymmetry; factor analysis; kinematic analysis; neurodegenerative diseases; stride
Tags	rivok
Changed by	Changed by: Mgr. Pavlína Roučová, DiS., učo 169540. Changed: 28/4/2021 13:56.

Abstract

In Parkinson’s disease (PD) patients, the motor symptoms (tremor, freezing of gait) fall within the ones with the most deteriorating impact on quality of life. In order to introduce our unique intervention programme based on exercise with vibration rings, we must clarify what motion variables are apt to be followed and evaluated. This pilot study aims to determine the most fitting variables for the long-term observation of the motor development influenced by the intervention programme. We examined 11 individuals (4 females, 7 males, 63.76 ± 10.33 yrs) diagnosed with PD. We performed 3D kinematic gait analysis (5 trials × 7 m) using the SIMI Motion system. For each individual, 15 anatomical points of the body were marked and, subsequently, 105 spatio-temporal characteristics of locomotion were evaluated. Variability and correlation between the variables were evaluated, as well as the degree of lateral asymmetry. Factor analysis was used for variables number reduction. The most suitable variables for assessing the developing effect of the intervention programme are the single and double support time and other gait time variables. The variability of the gait model can be determined by 71 %; the greatest significance is distributed between three factors: F1 – gait time parameters, F2 – lower limbs segments angles in initial and terminal contact with the ground, and F3 – gait velocity parameters and step dimensions. For the upcoming research, the time variables are the most suitable thanks to their optimal variability. The factor analysis enables fusion of analysed variables; the low level of side asymmetry in key variables authorises us to omit its influence on the gait model in PD patients. The balance abilities of the patients need to be questioned and measured in the upcoming research, for further interpretation of the data.

Links
MUNI/51/07/2020, interní kód MU	Name: Účinky specializovaného intervenčního programu na motoriku pacientů s Parkinsonovou nemocí (Acronym: SMOVEY)
MUNI/51/07/2020, interní kód MU	Investor: Masaryk University

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Gait analysis of patients with Parkinson’s disease in relation to apposite data selection

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