Literature DB >> 20339659

Gait analysis comparing Parkinson's disease with healthy elderly subjects.

Roberta de Melo Roiz1, Enio Walker Azevedo Cacho, Manoela Macedo Pazinatto, Julia Guimarães Reis, Alberto Cliquet, Elizabeth M A Barasnevicius-Quagliato.   

Abstract

UNLABELLED: There is a lack of studies comparing the kinematics data of idiopathic Parkinson's disease (IPD) patients with healthy elder (HE) subjects, and when there is such research, it is not correlated to clinical measures.
OBJECTIVE: To compare the spatio-temporal and kinematic parameters of Parkinsonian gait with the HE subjects group and measure the relation between these parameters and clinical instruments.
METHOD: Twelve patients with IPD and fifteen HE subjects were recruited and evaluated for clinical instruments and gait analysis.
RESULTS: There were statistically significant differences between HE group and the IPD group, in stride velocity, in stride length (SL), and in the hip joint kinematic data: on initial contact, on maximum extension during terminal contact and on maximum flexion during mid-swing. Regarding the clinical instruments there were significant correlated with in stride velocity and SL.
CONCLUSION: Clinical instruments used did not present proper psychometric parameters to measure the IPD patient's gait, while the 3D system characterized it better.

Entities:  

Mesh:

Year:  2010        PMID: 20339659     DOI: 10.1590/s0004-282x2010000100018

Source DB:  PubMed          Journal:  Arq Neuropsiquiatr        ISSN: 0004-282X            Impact factor:   1.420


  16 in total

1.  Gait Analysis of Age-dependent Motor Impairments in Mice with Neurodegeneration.

Authors:  Christine M Rostosky; Ira Milosevic
Journal:  J Vis Exp       Date:  2018-06-18       Impact factor: 1.355

2.  Comparison of Wuqinxi Qigong with Stretching on Single- and Dual-Task Gait, Motor Symptoms and Quality of Life in Parkinson's Disease: A Preliminary Randomized Control Study.

Authors:  Zhenlan Li; Tian Wang; Mengyue Shen; Tao Song; Jie He; Wei Guo; Zhen Wang; Jie Zhuang
Journal:  Int J Environ Res Public Health       Date:  2022-06-30       Impact factor: 4.614

3.  Real-time gait cycle parameter recognition using a wearable accelerometry system.

Authors:  Che-Chang Yang; Yeh-Liang Hsu; Kao-Shang Shih; Jun-Ming Lu
Journal:  Sensors (Basel)       Date:  2011-07-25       Impact factor: 3.576

4.  Random Whole Body Vibration over 5 Weeks Leads to Effects Similar to Placebo: A Controlled Study in Parkinson's Disease.

Authors:  Heiko Gaßner; Annette Janzen; Ansgar Schwirtz; Petra Jansen
Journal:  Parkinsons Dis       Date:  2014-10-13

5.  Relationship between Gait Parameters and Postural Stability in Early and Late Parkinson's Disease and Visual Feedback-Based Balance Training Effects.

Authors:  Mohieldin M Ahmed; Douaa M Mosalem; Aziz K Alfeeli; Ayyoub B Baqer; Doaa Youssry Soliman
Journal:  Open Access Maced J Med Sci       Date:  2017-04-08

6.  Interference of functional dual-tasks on gait in untrained people with Parkinson's disease and healthy controls: a cross-sectional study.

Authors:  Constanza San Martín Valenzuela; Lirios Dueñas Moscardó; Juan López-Pascual; Pilar Serra-Añó; José M Tomás
Journal:  BMC Musculoskelet Disord       Date:  2020-06-22       Impact factor: 2.362

7.  Assessment of Parkinsonian gait in older adults with dementia via human pose tracking in video data.

Authors:  Andrea Sabo; Sina Mehdizadeh; Kimberley-Dale Ng; Andrea Iaboni; Babak Taati
Journal:  J Neuroeng Rehabil       Date:  2020-07-14       Impact factor: 4.262

8.  Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation.

Authors:  Michael H Li; Tiago A Mestre; Susan H Fox; Babak Taati
Journal:  J Neuroeng Rehabil       Date:  2018-11-06       Impact factor: 4.262

9.  Effects of augmented proprioceptive cues on the parameters of gait of individuals with Parkinson's disease.

Authors:  Mohamed S El-Tamawy; Moshera H Darwish; Mohamed E Khallaf
Journal:  Ann Indian Acad Neurol       Date:  2012-10       Impact factor: 1.383

10.  Using gastrocnemius sEMG and plasma α-synuclein for the prediction of freezing of gait in Parkinson's disease patients.

Authors:  Xiao-Ying Wang; Wen-Yan Kang; Qiong Yang; Lin-Yuan Zhang; Sheng-Di Chen; Jun Liu
Journal:  PLoS One       Date:  2014-02-27       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.