Literature DB >> 22275545

An EMG-driven exoskeleton hand robotic training device on chronic stroke subjects: task training system for stroke rehabilitation.

N S K Ho1, K Y Tong, X L Hu, K L Fung, X J Wei, W Rong, E A Susanto.   

Abstract

An exoskeleton hand robotic training device is specially designed for persons after stroke to provide training on their impaired hand by using an exoskeleton robotic hand which is actively driven by their own muscle signals. It detects the stroke person's intention using his/her surface electromyography (EMG) signals from the hemiplegic side and assists in hand opening or hand closing functional tasks. The robotic system is made up of an embedded controller and a robotic hand module which can be adjusted to fit for different finger length. Eight chronic stroke subjects had been recruited to evaluate the effects of this device. The preliminary results showed significant improvement in hand functions (ARAT) and upper limb functions (FMA) after 20 sessions of robot-assisted hand functions task training. With the use of this light and portable robotic device, stroke patients can now practice more easily for the opening and closing of their hands at their own will, and handle functional daily living tasks at ease. A video is included together with this paper to give a demonstration of the hand robotic system on chronic stroke subjects and it will be presented in the conference.
© 2011 IEEE

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Year:  2011        PMID: 22275545     DOI: 10.1109/ICORR.2011.5975340

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


  32 in total

1.  Current Trends in Robot-Assisted Upper-Limb Stroke Rehabilitation: Promoting Patient Engagement in Therapy.

Authors:  Amy A Blank; James A French; Ali Utku Pehlivan; Marcia K O'Malley
Journal:  Curr Phys Med Rehabil Rep       Date:  2014-09

2.  Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms.

Authors:  Jaewon Beom; Sukgyu Koh; Hyung Seok Nam; Wonshik Kim; Yoonjae Kim; Han Gil Seo; Byung-Mo Oh; Sun Gun Chung; Sungwan Kim
Journal:  J Vis Exp       Date:  2016-08-15       Impact factor: 1.355

3.  Muscle recruitment and coordination during upper-extremity functional tests.

Authors:  Keshia M Peters; Valerie E Kelly; Tasha Chang; Madeline C Weismann; Sarah Westcott McCoy; Katherine M Steele
Journal:  J Electromyogr Kinesiol       Date:  2017-12-07       Impact factor: 2.368

4.  A General Purpose Robotic Hand Exoskeleton With Series Elastic Actuation.

Authors:  Eric M Refour; Bijo Sebastian; Raghuraj J Chauhan; Pinhas Ben-Tzvi
Journal:  J Mech Robot       Date:  2019-09-10       Impact factor: 2.085

5.  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

6.  Grasp Prediction Toward Naturalistic Exoskeleton Glove Control.

Authors:  Raghuraj Chauhan; Bijo Sebastian; Pinhas Ben-Tzvi
Journal:  IEEE Trans Hum Mach Syst       Date:  2019-09-19       Impact factor: 2.968

7.  Efficacy of robot-assisted fingers training in chronic stroke survivors: a pilot randomized-controlled trial.

Authors:  Evan A Susanto; Raymond Ky Tong; Corinna Ockenfeld; Newmen Sk Ho
Journal:  J Neuroeng Rehabil       Date:  2015-04-25       Impact factor: 4.262

Review 8.  A survey on robotic devices for upper limb rehabilitation.

Authors:  Paweł Maciejasz; Jörg Eschweiler; Kurt Gerlach-Hahn; Arne Jansen-Troy; Steffen Leonhardt
Journal:  J Neuroeng Rehabil       Date:  2014-01-09       Impact factor: 4.262

Review 9.  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

Review 10.  Hybrid soft computing systems for electromyographic signals analysis: a review.

Authors:  Hong-Bo Xie; Tianruo Guo; Siwei Bai; Socrates Dokos
Journal:  Biomed Eng Online       Date:  2014-02-03       Impact factor: 2.819

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