Literature DB >> 11321002

Development of robots for rehabilitation therapy: the Palo Alto VA/Stanford experience.

C G Burgar1, P S Lum, P C Shor, H F Machiel Van der Loos.   

Abstract

For over 25 years, personal assistant robots for severely disabled individuals have been in development. More recently, using robots to deliver rehabilitation therapy has been proposed. This paper summarizes the development and clinical testing of three mechatronic systems for post-stroke therapy conducted at the VA Palo Alto in collaboration with Stanford University. We describe the philosophy and experiences that guided their evolution. Unique to the Palo Alto approach is provision for bimanual, mirror-image, patient-controlled therapeutic exercise. Proof-of-concept was established with a 2-degree-of-freedom (DOF) elbow/forearm manipulator. Tests of a second-generation therapy robot producing planar forearm movements in 19 hemiplegic and control subjects confirmed the validity and reliability of interaction forces during mechanically assisted upper-limb movements. Clinical trials comparing 3-D robot-assisted therapy to traditional therapy in 21 chronic stroke subjects showed significant improvement in the Fugl-Meyer (FM) measure of motor recovery in the robot group, which exceeded improvements in the control group.

Entities:  

Mesh:

Year:  2000        PMID: 11321002

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  59 in total

1.  Bilateral assessment of functional tasks for robot-assisted therapy applications.

Authors:  Michelle J Johnson; Sarah Wang; Ping Bai; Elaine Strachota; Guennady Tchekanov; Jeff Melbye; John McGuire
Journal:  Med Biol Eng Comput       Date:  2011-09-01       Impact factor: 2.602

2.  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

3.  Pilot study to test effectiveness of video game on reaching performance in stroke.

Authors:  Ana Maria Acosta; Hendrik A Dewald; Jules P A Dewald
Journal:  J Rehabil Res Dev       Date:  2011

4.  Normalized movement quality measures for therapeutic robots strongly correlate with clinical motor impairment measures.

Authors:  Ozkan Celik; Marcia K O'Malley; Corwin Boake; Harvey S Levin; Nuray Yozbatiran; Timothy A Reistetter
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-04-12       Impact factor: 3.802

Review 5.  Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review.

Authors:  Gert Kwakkel; Boudewijn J Kollen; Hermano I Krebs
Journal:  Neurorehabil Neural Repair       Date:  2007-09-17       Impact factor: 3.919

6.  Therapeutic Robotics: A Technology Push: Stroke rehabilitation is being aided by robots that guide movement of shoulders and elbows, wrists, hands, arms and ankles to significantly improve recovery of patients.

Authors:  Hermano Igo Krebs; Neville Hogan
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2006-09-01       Impact factor: 10.961

7.  Uncertainty of feedback and state estimation determines the speed of motor adaptation.

Authors:  Kunlin Wei; Konrad Körding
Journal:  Front Comput Neurosci       Date:  2010-05-11       Impact factor: 2.380

8.  Development and pilot testing of HEXORR: hand EXOskeleton rehabilitation robot.

Authors:  Christopher N Schabowsky; Sasha B Godfrey; Rahsaan J Holley; Peter S Lum
Journal:  J Neuroeng Rehabil       Date:  2010-07-28       Impact factor: 4.262

9.  A sensorimotor approach to the training of manual actions in children with developmental coordination disorder.

Authors:  Winona Snapp-Childs; Mark Mon-Williams; Geoffrey P Bingham
Journal:  J Child Neurol       Date:  2012-10-17       Impact factor: 1.987

Review 10.  Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design.

Authors:  Annick A A Timmermans; Henk A M Seelen; Richard D Willmann; Herman Kingma
Journal:  J Neuroeng Rehabil       Date:  2009-01-20       Impact factor: 4.262

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