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

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.

Základní údaje

Originální název

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

Autoři

SITEK, Ondřej (203 Česká republika, domácí); Miriam KALICHOVÁ (203 Česká republika, garant, domácí); Petr HEDBÁVNÝ (203 Česká republika, domácí); Marek BALÁŽ (703 Slovensko, domácí) a Tomáš BOUŠEK (203 Česká republika, domácí)

Vydání

Szombathely, Recent researches in sports science, od s. 14-29, 16 s. 2020

Nakladatel

Savaria Press

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

30103 Neurosciences

Stát vydavatele

Maďarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14510/20:00118465

Organizační jednotka

Fakulta sportovních studií

ISSN

Klíčová slova anglicky

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

Štítky

rivok

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

Anotace

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.

Návaznosti

MUNI/51/07/2020, interní kód MU

Název: Účinky specializovaného intervenčního programu na motoriku pacientů s Parkinsonovou nemocí (Akronym: SMOVEY)

Investor: Masarykova univerzita, Účinky specializovaného intervenčního programu na motoriku pacientů s Parkinsonovou nemocí

Citovat

SITEK, Ondřej; Miriam KALICHOVÁ; Petr HEDBÁVNÝ; Marek BALÁŽ a 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, s. 14-29. ISSN 2732-1274.

@inproceedings{1756698,
   author = {Sitek, Ondřej and Kalichová, Miriam and Hedbávný, Petr and Baláž, Marek and Boušek, Tomáš},
   address = {Szombathely},
   booktitle = {Recent researches in sports science},
   editor = {dr.HenrietteDancs},
   keywords = {Asymmetry; factor analysis; kinematic analysis; neurodegenerative diseases; stride},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Szombathely},
   pages = {14-29},
   publisher = {Savaria Press},
   title = {Gait analysis of patients with Parkinson’s disease in relation to apposite data selection},
   url = {https://edit.elte.hu/xmlui/handle/10831/50530},
   year = {2020}
}

TY  - CONF
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  -

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

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