D 2020

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

SITEK, Ondřej, Miriam KALICHOVÁ, Petr HEDBÁVNÝ, Marek BALÁŽ, Tomáš BOUŠEK et. al.

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

30103 Neurosciences

Country of publisher

Hungary

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/00216224:14510/20:00118465

Organization unit

Faculty of Sports Studies

ISSN

Keywords in English

Asymmetry; factor analysis; kinematic analysis; neurodegenerative diseases; stride

Tags

rivok
Změněno: 28/4/2021 13:56, Mgr. Pavlína Roučová, DiS.

Abstract

V originále

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)
Investor: Masaryk University
Displayed: 4/11/2024 16:31