Literature DB >> 27056250

Feasibility and efficacy of a robotic device for hand rehabilitation in hemiplegic stroke patients: a randomized pilot controlled study.

Fabio Vanoglio1, Palmira Bernocchi2, Chiara Mulè3, Francesca Garofali1, Chiara Mora1, Giovanni Taveggia3, Simonetta Scalvini2, Alberto Luisa1.   

Abstract

OBJECTIVE: The purpose of the study was to evaluate the feasibility and efficacy of robot-assisted hand rehabilitation in improving arm function abilities in sub-acute hemiplegic patients.
DESIGN: Randomized controlled pilot study.
SETTING: Inpatient rehabilitation centers. PARTICIPANTS: Thirty hemiplegic stroke patients (Ashworth spasticity index <3) were recruited and randomly divided into a Treatment group (TG) and Control group (CG).
INTERVENTIONS: Patients in the TG received intensive hand training with Gloreha, a hand rehabilitation glove that provides computer-controlled, repetitive, passive mobilization of the fingers, with multisensory feedback. Patients in the CG received the same amount of time in terms of conventional hand rehabilitation. MAIN OUTCOME MEASURES: Hand motor function (Motricity Index, MI), fine manual dexterity (Nine Hole Peg Test, NHPT) and strength (Grip and Pinch test) were measured at baseline and after rehabilitation, and the differences, (Δ) mean(standard deviation), compared between groups. Results Twenty-seven patients concluded the program: 14 in the TG and 13 in the CG. None of the patients refused the device and only one adverse event of rheumatoid arthritis reactivation was reported. Baseline data did not differ significantly between the two groups. In TG, ΔMI 23(16.4), ΔNHPT 0.16(0.16), ΔGRIP 0.27(0.23) and ΔPINCH 0.07(0.07) were significantly greater than in CG, ΔMI 5.2(9.2), ΔNHPT 0.02(0.07), ΔGRIP 0.03(0.06) and ΔPINCH 0.02(0.03)] ( p=0.002, p=0.009, p=0.003 and p=0.038, respectively).
CONCLUSIONS: Gloreha Professional is feasible and effective in recovering fine manual dexterity and strength and reducing arm disability in sub-acute hemiplegic patients.

Entities:  

Keywords:  Stroke; hand; rehabilitation; robotics

Mesh:

Year:  2016        PMID: 27056250     DOI: 10.1177/0269215516642606

Source DB:  PubMed          Journal:  Clin Rehabil        ISSN: 0269-2155            Impact factor:   3.477


  20 in total

Review 1.  Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.

Authors:  Menglu Zhao; Guangning Wang; Aimin Wang; Ling Jie Cheng; Ying Lau
Journal:  Neurol Sci       Date:  2022-01-28       Impact factor: 3.307

2.  Skeletal Muscle Changes in the First Three Months of Stroke Recovery: A Systematic Review.

Authors:  David Beckwée; Lotte Cuypers; Nina Lefeber; Emma De Keersmaecker; Ellen Scheys; Wout Van Hees; Stany Perkisas; Sylvie De Raedt; Eric Kerckhofs; Ivan Bautmans; Eva Swinnen
Journal:  J Rehabil Med       Date:  2022-10-04       Impact factor: 3.959

3.  Proposal of a Wearable Multimodal Sensing-Based Serious Games Approach for Hand Movement Training After Stroke.

Authors:  Xinyu Song; Shirdi Shankara van de Ven; Shugeng Chen; Peiqi Kang; Qinghua Gao; Jie Jia; Peter B Shull
Journal:  Front Physiol       Date:  2022-06-03       Impact factor: 4.755

Review 4.  Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke.

Authors:  Jan Mehrholz; Marcus Pohl; Thomas Platz; Joachim Kugler; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2018-09-03

5.  User-Driven Functional Movement Training With a Wearable Hand Robot After Stroke.

Authors:  Sangwoo Park; Michaela Fraser; Lynne M Weber; Cassie Meeker; Lauri Bishop; Daniel Geller; Joel Stein; Matei Ciocarlie
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-09-04       Impact factor: 4.528

Review 6.  Review of the effects of soft robotic gloves for activity-based rehabilitation in individuals with reduced hand function and manual dexterity following a neurological event.

Authors:  Camille E Proulx; Myrka Beaulac; Mélissa David; Catryne Deguire; Catherine Haché; Florian Klug; Mario Kupnik; Johanne Higgins; Dany H Gagnon
Journal:  J Rehabil Assist Technol Eng       Date:  2020-05-13

7.  Muscle Synergy Analysis of a Hand-Grasp Dataset: A Limited Subset of Motor Modules May Underlie a Large Variety of Grasps.

Authors:  Alessandro Scano; Andrea Chiavenna; Lorenzo Molinari Tosatti; Henning Müller; Manfredo Atzori
Journal:  Front Neurorobot       Date:  2018-09-25       Impact factor: 2.650

8.  Robotic Assisted Upper Limb Training Post Stroke: A Randomized Control Trial Using Combinatory Approach Toward Reducing Workforce Demands.

Authors:  Aamani Budhota; Karen S G Chua; Asif Hussain; Simone Kager; Adèle Cherpin; Sara Contu; Deshmukh Vishwanath; Christopher W K Kuah; Chwee Yin Ng; Lester H L Yam; Yong Joo Loh; Deshan Kumar Rajeswaran; Liming Xiang; Etienne Burdet; Domenico Campolo
Journal:  Front Neurol       Date:  2021-06-02       Impact factor: 4.003

9.  Neurocognitive robot-assisted rehabilitation of hand function: a randomized control trial on motor recovery in subacute stroke.

Authors:  Raffaele Ranzani; Olivier Lambercy; Jean-Claude Metzger; Antonella Califfi; Stefania Regazzi; Daria Dinacci; Claudio Petrillo; Paolo Rossi; Fabio M Conti; Roger Gassert
Journal:  J Neuroeng Rehabil       Date:  2020-08-24       Impact factor: 4.262

10.  Home rehabilitation supported by a wearable soft-robotic device for improving hand function in older adults: A pilot randomized controlled trial.

Authors:  Bob Radder; Gerdienke B Prange-Lasonder; Anke I R Kottink; Johnny Holmberg; Kristin Sletta; Manon van Dijk; Thomas Meyer; Alejandro Melendez-Calderon; Jaap H Buurke; Johan S Rietman
Journal:  PLoS One       Date:  2019-08-06       Impact factor: 3.240

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