Literature DB >> 24968381

Mechanisms of motor recovery in chronic and subacute stroke patients following a robot-aided training.

S Mazzoleni, L Puzzolante, L Zollo, P Dario, F Posteraro.   

Abstract

The aim of this article is to propose a methodology for analyzing different recovery mechanisms in subacute and chronic patients through evaluation of biomechanical parameters. Twenty-five post-stroke subjects, eight subacute and seventeen chronic, participated in the study. A 2-DoF robotic system was used for upper limb training. Two clinical scales were used for assessment. Forces and velocities at the robot's end-effector during the execution of upper limb planar reaching movements were measured. Clinical outcome measures show a significant decrease in motor impairment after the treatment both in chronic and subacute patients (MSS-SE, p<0.001; FM, p<0.05). Movement velocity increases after the robot-aided treatment in both groups. Mean values of forces exerted by subacute patients are lower than those observed in chronic patients, both at the beginning and at the end of robotic treatment, as in the latter the pathological pattern is already structured. Our results demonstrate that the monitoring of the forces exerted on the end-effector during robot-aided treatment can identify the specific motor recovery mechanisms at different stages. If the pathological pattern is not yet structured, rehabilitative interventions should be addressed toward the use of motor re-learning procedures; on the other hand, if the force analysis shows a strong pathological pattern, mechanisms of compensation should be encouraged.

Entities:  

Mesh:

Year:  2014        PMID: 24968381     DOI: 10.1109/TOH.2013.73

Source DB:  PubMed          Journal:  IEEE Trans Haptics        ISSN: 1939-1412            Impact factor:   2.487


  5 in total

1.  Increasing patient engagement in rehabilitation exercises using computer-based citizen science.

Authors:  Jeffrey Laut; Francesco Cappa; Oded Nov; Maurizio Porfiri
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

2.  Effect of a mixed reality-based intervention on arm, hand, and finger function on chronic stroke.

Authors:  Carolina Colomer; Roberto Llorens; Enrique Noé; Mariano Alcañiz
Journal:  J Neuroeng Rehabil       Date:  2016-05-11       Impact factor: 4.262

3.  Kinematic Parameters for Tracking Patient Progress during Upper Limb Robot-Assisted Rehabilitation: An Observational Study on Subacute Stroke Subjects.

Authors:  Michela Goffredo; Stefano Mazzoleni; Annalisa Gison; Francesco Infarinato; Sanaz Pournajaf; Daniele Galafate; Maurizio Agosti; Federico Posteraro; Marco Franceschini
Journal:  Appl Bionics Biomech       Date:  2019-10-21       Impact factor: 1.781

4.  Key components of mechanical work predict outcomes in robotic stroke therapy.

Authors:  Zachary A Wright; Yazan A Majeed; James L Patton; Felix C Huang
Journal:  J Neuroeng Rehabil       Date:  2020-04-21       Impact factor: 4.262

5.  Is two better than one? Muscle vibration plus robotic rehabilitation to improve upper limb spasticity and function: A pilot randomized controlled trial.

Authors:  Rocco Salvatore Calabrò; Antonino Naro; Margherita Russo; Demetrio Milardi; Antonino Leo; Serena Filoni; Antonia Trinchera; Placido Bramanti
Journal:  PLoS One       Date:  2017-10-03       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.