Literature DB >> 33467634

Analysis of Gait for Disease Stage in Patients with Parkinson's Disease.

Mᵃ Helena Vila1, Rocío Pérez1, Irimia Mollinedo1, José Mᵃ Cancela1.   

Abstract

Understanding the motor patterns underlying the movement of individuals with Parkinson's disease (PD) is fundamental to the effective targeting of non-pharmacological therapies. This study aimed to analyze the gait pattern in relation to the evolutionary stages I-II and III-IV according to the Hoehn and Yahr (H&Y) scale in individuals affected by PD. The study was conducted with the participation of 37 PD patients with a mean age of 70.09 ± 9.53 years, and of whom 48.64% were women. The inclusion criteria were (1) to be diagnosed with PD; (2) to be in an evolutionary stage of the disease between I and IV: and (3) to be able to walk independently and without any assistance. Kinematic and spatial-temporal parameters of the gait were analyzed. The results showed differences in speed of movement, cadence, stride length, support duration, swing duration, step width, walking cycle duration, and double support time between the stages analyzed. These results confirmed the differences in PD gait pattern between stages I-II and III-IV. Different behaviors of the same variable were recorded depending on whether the right or left side was affected by PD.

Entities:  

Keywords:  cadence; gait oscillation; locomotion disorder; neurodegenerative disease; speed of movement

Year:  2021        PMID: 33467634      PMCID: PMC7830506          DOI: 10.3390/ijerph18020720

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  24 in total

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2.  Effect of a Mat Pilates Program with TheraBand on Dynamic Balance in Patients with Parkinson's Disease: Feasibility Study and Randomized Controlled Trial.

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Journal:  Gait Posture       Date:  2017-07-01       Impact factor: 2.840

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6.  Gait variability and the risk of incident mobility disability in community-dwelling older adults.

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10.  Quantifying Dynamic Balance in Young, Elderly and Parkinson's Individuals: A Systematic Review.

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Journal:  Front Aging Neurosci       Date:  2018-11-22       Impact factor: 5.750

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  3 in total

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Journal:  Front Aging Neurosci       Date:  2022-06-15       Impact factor: 5.702

2.  A Vision-Based System for Stage Classification of Parkinsonian Gait Using Machine Learning and Synthetic Data.

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Journal:  Sensors (Basel)       Date:  2022-06-13       Impact factor: 3.847

3.  Relevance of Sociodemographics and Clinical Tests in Single- and Dual-Task Conditions as Gait Speed Predictors of Parkinson's Disease.

Authors:  Constanza San Martín Valenzuela; Lirios Dueñas; José M Tomás; Patricia Correa-Ghisays; Pilar Serra-Añó
Journal:  J Clin Med       Date:  2022-01-30       Impact factor: 4.241

  3 in total

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