Literature DB >> 26890098

Kinematic measures for upper limb motor assessment during robot-mediated training in patients with severe sub-acute stroke.

Christophe Duret1,2, Ophélie Courtial1, Anne Gaelle Grosmaire1.   

Abstract

PURPOSE: Kinematic assessments are increasingly used as motor outcome measures during upper limb robot-assisted training, in addition to clinical scales. However, their relevance has not been evaluated much.
METHODS: Thirty-eight patients with severe sub-acute stroke (age 56 ± 17 [19-87] years; time since stroke, 55 ± 22 days) carried out 16 sessions (average 3/week, 35 ± 15 days) of upper limb robot-assisted training combined with standard therapy. Pre/post motor performance was evaluated using the Fugl-Meyer Assessment scale, Motor Status Scale (MSS) and kinematic measures. Motor outcomes were compared and relationships between clinical and kinematic outcomes were analyzed.
RESULTS: All clinical and kinematic outcomes improved after training (p <  0.01). FM score increased from 17.7 ± 10.0 to 28.6 ± 15.4. All baseline kinematic measures were strongly correlated with clinical scores. Correlations between clinical and kinematic changes were moderate (r = -0.65 for change in FM Proximal score and change in accuracy measure). However, smoothness and accuracy indicators were shown to be responsive measures.
CONCLUSION: This study demonstrated that baseline kinematic measures and their pre/post training changes were significantly correlated with clinical motor outcome measures. However, even if kinematic measures are valid for the evaluation of motor impairment we cannot propose to substitute common clinical measures of motor function which also evaluate functional abilities of the upper limb.

Entities:  

Keywords:  Hemiparesis; kinematics; robotic therapy; sub-acute stroke; upper limb

Mesh:

Year:  2016        PMID: 26890098     DOI: 10.3233/RNN-150565

Source DB:  PubMed          Journal:  Restor Neurol Neurosci        ISSN: 0922-6028            Impact factor:   2.406


  11 in total

1.  Kinematic Evaluation via Inertial Measurement Unit Associated with Upper Extremity Motor Function in Subacute Stroke: A Cross-Sectional Study.

Authors:  Ze-Jian Chen; Chang He; Ming-Hui Gu; Jiang Xu; Xiao-Lin Huang
Journal:  J Healthc Eng       Date:  2021-08-19       Impact factor: 2.682

2.  Using Robot-Based Variables during Upper Limb Robot-Assisted Training in Subacute Stroke Patients to Quantify Treatment Dose.

Authors:  Pascal Jamin; Christophe Duret; Emilie Hutin; Nicolas Bayle; Typhaine Koeppel; Jean-Michel Gracies; Ophélie Pila
Journal:  Sensors (Basel)       Date:  2022-04-13       Impact factor: 3.847

3.  Quantifying Pathological Synergies in the Upper Extremity of Stroke Subjects With the Use of Inertial Measurement Units: A Pilot Study.

Authors:  Miguel M C Bhagubai; Gerjan Wolterink; Anne Schwarz; Jeremia P O Held; Bert-Jan F Van Beijnum; Peter H Veltink
Journal:  IEEE J Transl Eng Health Med       Date:  2020-12-07       Impact factor: 3.316

Review 4.  Robot-Assisted Therapy in Upper Extremity Hemiparesis: Overview of an Evidence-Based Approach.

Authors:  Christophe Duret; Anne-Gaëlle Grosmaire; Hermano Igo Krebs
Journal:  Front Neurol       Date:  2019-04-24       Impact factor: 4.003

5.  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

6.  Low-cost equipment for the evaluation of reach and grasp in post-stroke individuals: a pilot study.

Authors:  Camila L A Gomes; Roberta O Cacho; Viviane T B Nobrega; Ellen Marjorie de A Confessor; Eyshila Emanuelle M de Farias; José Leôncio F Neto; Denise S de Araújo; Ana Loyse de S Medeiros; Rodrigo L Barreto; Enio W A Cacho
Journal:  Biomed Eng Online       Date:  2020-03-04       Impact factor: 2.819

Review 7.  Combining Upper Limb Robotic Rehabilitation with Other Therapeutic Approaches after Stroke: Current Status, Rationale, and Challenges.

Authors:  Stefano Mazzoleni; Christophe Duret; Anne Gaëlle Grosmaire; Elena Battini
Journal:  Biomed Res Int       Date:  2017-09-13       Impact factor: 3.411

8.  Can kinematic parameters of 3D reach-to-target movements be used as a proxy for clinical outcome measures in chronic stroke rehabilitation? An exploratory study.

Authors:  Catherine Adans-Dester; Susan E Fasoli; Eric Fabara; Nicolas Menard; Annie B Fox; Giacomo Severini; Paolo Bonato
Journal:  J Neuroeng Rehabil       Date:  2020-08-08       Impact factor: 4.262

9.  Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke.

Authors:  Marco Germanotta; Valerio Gower; Dionysia Papadopoulou; Arianna Cruciani; Cristiano Pecchioli; Rita Mosca; Gabriele Speranza; Catuscia Falsini; Francesca Cecchi; Federica Vannetti; Angelo Montesano; Silvia Galeri; Furio Gramatica; Irene Aprile
Journal:  J Neuroeng Rehabil       Date:  2020-01-03       Impact factor: 4.262

10.  Quantifying Quality of Reaching Movements Longitudinally Post-Stroke: A Systematic Review.

Authors:  M Saes; M I Mohamed Refai; B J F van Beijnum; J B J Bussmann; E P Jansma; P H Veltink; J H Buurke; E E H van Wegen; C G M Meskers; J W Krakauer; G Kwakkel
Journal:  Neurorehabil Neural Repair       Date:  2022-01-31       Impact factor: 3.919

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