Literature DB >> 25906834

Alteration in the center of mass trajectory of patients after stroke.

Aline Araujo do Carmo, Ana Francisca Rozin Kleiner, Ricardo M L Barros.   

Abstract

BACKGROUND: The movement disorders due to stroke can alter the motion of the Center of Mass (CoM) of the body. Thus, the analysis of the CoM motion can be an alternative to diagnostic the stroke gait disturbances and has not been widely explored.
OBJECTIVE: To identify and to analyze the alterations of CoM trajectory during both of gait cycles, affected and unaffected, of post-stroke patients comparing to healthy subjects.
METHODS: The CoM trajectory was obtained using a gold standard method, the three-dimensional (3D) kinematics associate to anthropometry. Two experimental groups were compared: Hemiparetic Group (HG) consisted of fourteen chronic hemiparetic patients and Control Group (CG) by fourteen able-bodied subjects.
RESULTS: The statistical analysis (P ≤ 0.05) revealed the following average gait alterations in the HG, in the stance phase of the affected side: higher lateral (midstance), lower vertical (midstance and terminal stance), and lower forward displacement (heel strike until terminal stance). In the swing phase of the affected side, HG showed higher lateral (preswing and initial swing) and vertical displacement (preswing until terminal swing), and lower forward (preswing until terminal swing) displacement of the CoM. There was also anticipation of the instants of maximum displacements in the lateral and vertical directions and lower total range in the forward direction.
CONCLUSION: The CoM trajectory analysis pointed out that the gait after stroke was altered such in the affected as in the unaffected lower limbs, mainly in the single support phase of the affected side, but also in the swing phase of the gait cycle.

Entities:  

Keywords:  Biomechanics,; Center of mass,; Gait analysis,; Stroke,; Walking

Mesh:

Year:  2015        PMID: 25906834     DOI: 10.1179/1074935714Z.0000000037

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  5 in total

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Authors:  Paige E Lin; Susan M Sigward
Journal:  Gait Posture       Date:  2018-12-29       Impact factor: 2.840

2.  Machine Learning Strategies for Low-Cost Insole-Based Prediction of Center of Gravity during Gait in Healthy Males.

Authors:  Jose Moon; Dongjun Lee; Hyunwoo Jung; Ahnryul Choi; Joung Hwan Mun
Journal:  Sensors (Basel)       Date:  2022-05-04       Impact factor: 3.847

3.  Effect of assist-as-needed robotic gait training on the gait pattern post stroke: a randomized controlled trial.

Authors:  J F Alingh; B M Fleerkotte; A C H Geurts; J H Buurke; B E Groen; J S Rietman; V Weerdesteyn; E H F van Asseldonk
Journal:  J Neuroeng Rehabil       Date:  2021-02-05       Impact factor: 4.262

4.  Computation of Gait Parameters in Post Stroke and Parkinson's Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems.

Authors:  Veronica Cimolin; Luca Vismara; Claudia Ferraris; Gianluca Amprimo; Giuseppe Pettiti; Roberto Lopez; Manuela Galli; Riccardo Cremascoli; Serena Sinagra; Alessandro Mauro; Lorenzo Priano
Journal:  Sensors (Basel)       Date:  2022-01-21       Impact factor: 3.576

Review 5.  Effectiveness of Constraint-Induced Movement Therapy (CIMT) on Balance and Functional Mobility in the Stroke Population: A Systematic Review and Meta-Analysis.

Authors:  Jaya Shanker Tedla; Kumar Gular; Ravi Shankar Reddy; Arthur de Sá Ferreira; Erika Carvalho Rodrigues; Venkata Nagaraj Kakaraparthi; Giles Gyer; Devika Rani Sangadala; Mohammed Qasheesh; Rakesh Krishna Kovela; Gopal Nambi
Journal:  Healthcare (Basel)       Date:  2022-03-08
  5 in total

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