Gait Analysis of Patients with Parkinson’s Disease in Relation
to Apposite Data Selection

k 2019

Gait Analysis of Patients with Parkinson’s Disease in Relation to Apposite Data Selection

SITEK, Ondřej

Základní údaje

Originální název

Gait Analysis of Patients with Parkinson’s Disease in Relation to Apposite Data Selection

Autoři

SITEK, Ondřej

Vydání

12th INTERNATIONAL INSHS CHRISTMAS SPORT SCIENTIFIC CONFERENCE, 2019

Další údaje

Jazyk

angličtina

Typ výsledku

Prezentace na konferencích

Obor

30306 Sport and fitness sciences

Stát vydavatele

Maďarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14510/19:00112481

Organizační jednotka

Fakulta sportovních studií

Klíčová slova anglicky

asymmetry; factor analysis; kinematic analysis; neurodegenerative diseases; stride

Štítky

rivok

Změněno: 29. 4. 2020 15:21, Mgr. Pavlína Roučová, DiS.

Anotace

V originále

Introduction 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. Methods 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. Results 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. Discussion & Conclusion 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/A/1161/2015, interní kód MU

Název: Analýza chůze pacientů postižených Parkinsonovou chorobou (Akronym: PARKINSON)

Investor: Masarykova univerzita, Analýza chůze pacientů postižených Parkinsonovou chorobou, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

SITEK, Ondřej. Gait Analysis of Patients with Parkinson’s Disease in Relation to Apposite Data Selection. In 12th INTERNATIONAL INSHS CHRISTMAS SPORT SCIENTIFIC CONFERENCE. 2019.

@proceedings{1605111,
   author = {Sitek, Ondřej},
   booktitle = {12th INTERNATIONAL INSHS CHRISTMAS SPORT SCIENTIFIC CONFERENCE},
   keywords = {asymmetry; factor analysis; kinematic analysis; neurodegenerative diseases; stride},
   language = {eng},
   title = {Gait Analysis of Patients with Parkinson’s Disease in Relation to Apposite Data Selection},
   url = {https://xmasconference.com/en/},
   year = {2019}
}

TY  - CONF
ID  - 1605111
AU  - Sitek, Ondřej
PY  - 2019
TI  - Gait Analysis of Patients with Parkinson’s Disease in Relation to Apposite Data Selection
KW  - asymmetry
KW  - factor analysis
KW  - kinematic analysis
KW  - neurodegenerative diseases
KW  - stride
UR  - https://xmasconference.com/en/
L2  - https://xmasconference.com/en/
N2  - Introduction 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. Methods 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. Results 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. Discussion & Conclusion 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. Gait Analysis of Patients with Parkinson’s Disease in Relation to Apposite Data Selection. In \textit{12th INTERNATIONAL INSHS CHRISTMAS SPORT SCIENTIFIC CONFERENCE}. 2019.

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