Literature DB >> 24187211

Fine finger motor skill training with exoskeleton robotic hand in chronic stroke: stroke rehabilitation.

Corinna Ockenfeld, Raymond K Y Tong, Evan A Susanto, Sze-Kit Ho, Xiao-ling Hu.   

Abstract

Background and Purpose. Stroke survivors often show a limited recovery in the hand function to perform delicate motions, such as full hand grasping, finger pinching and individual finger movement. The purpose of this study is to describe the implementation of an exoskeleton robotic hand together with fine finger motor skill training on 2 chronic stroke patients. Case Descriptions. Two post-stroke patients participated in a 20-session training program by integrating 10 minutes physical therapy, 20 minutes robotic hand training and 15 minutes functional training tasks with delicate objects(card, pen and coin). These two patients (A and B) had cerebrovascular accident at 6 months and 11 months respectively when enrolled in this study. Outcomes. The results showed that both patients had improvements in Fugl-Meyer assessment (FM), Action Research Arm Test (ARAT). Patients had better isolation of the individual finger flexion and extension based on the reduced muscle co-contraction from the electromyographic(EMG) signals and finger extension force after 20 sessions of training. Discussion. This preliminary study showed that by focusing on the fine finger motor skills together with the exoskeleton robotic hand, it could improve the motor recovery of the upper extremity in the fingers and hand function, which were showed in the ARAT. Future randomized controlled trials are needed to evaluate the clinical effectiveness.

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Year:  2013        PMID: 24187211     DOI: 10.1109/ICORR.2013.6650392

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  7 in total

1.  A Real-Time EMG-Based Fixed-Bandwidth Frequency-Domain Embedded System for Robotic Hand.

Authors:  Biao Chen; Chaoyang Chen; Jie Hu; Thomas Nguyen; Jin Qi; Banghua Yang; Dawei Chen; Yousef Alshahrani; Yang Zhou; Andrew Tsai; Todd Frush; Henry Goitz
Journal:  Front Neurorobot       Date:  2022-06-30       Impact factor: 3.493

2.  Use of an EMG-Controlled Game as a Therapeutic Tool to Retrain Hand Muscle Activation Patterns Following Stroke: A Pilot Study.

Authors:  Na Jin Seo; Alex Barry; Mohammad Ghassemi; Kristen M Triandafilou; Mary Ellen Stoykov; Lynn Vidakovic; Elliot Roth; Derek G Kamper
Journal:  J Neurol Phys Ther       Date:  2022-03-22       Impact factor: 4.655

Review 3.  A structured overview of trends and technologies used in dynamic hand orthoses.

Authors:  Ronald A Bos; Claudia J W Haarman; Teun Stortelder; Kostas Nizamis; Just L Herder; Arno H A Stienen; Dick H Plettenburg
Journal:  J Neuroeng Rehabil       Date:  2016-06-29       Impact factor: 4.262

4.  Prospective clinical study of rehabilitation interventions with multisensory interactive training in patients with cerebral infarction: study protocol for a randomised controlled trial.

Authors:  Wai Leung Ambrose Lo; Yu Rong Mao; Le Li; Ai Hua Lin; Jiang Li Zhao; Ling Chen; Qiang Lin; Hai Li; Dong Feng Huang
Journal:  Trials       Date:  2017-04-11       Impact factor: 2.279

5.  The Middleware for an Exoskeleton Assisting Upper Limb Movement.

Authors:  Przemyslaw Strzelczyk; Krzysztof Tomczewski; Krzysztof Wrobel
Journal:  Sensors (Basel)       Date:  2022-04-13       Impact factor: 3.847

6.  Feasibility and Potential Effects of Robot-Assisted Passive Range of Motion Training in Combination with Conventional Rehabilitation on Hand Function in Patients with Chronic Stroke.

Authors:  Chia-Yu Hsu; Chu-Ming Wu; Chieh-Cheng Huang; Hung-Hai Shie; Yuh-Show Tsai
Journal:  J Rehabil Med       Date:  2022-08-26       Impact factor: 3.959

7.  Pushing the Rehabilitation Boundaries: Hand Motor Impairment Can Be Reduced in Chronic Stroke.

Authors:  Firas Mawase; Kendra Cherry-Allen; Jing Xu; Manuel Anaya; Shintaro Uehara; Pablo Celnik
Journal:  Neurorehabil Neural Repair       Date:  2020-08       Impact factor: 3.919

  7 in total

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