Literature DB >> 29626272

A Semi-passive Planar Manipulandum for Upper-Extremity Rehabilitation.

Chih-Kang Chang1, Edward P Washabaugh1,2, Andrew Gwozdziowski1, C David Remy3,4, Chandramouli Krishnan5,6,7.   

Abstract

Robotic rehabilitation is a promising approach to treat individuals with neurological or orthopedic disorders. However, despite significant advancements in the field of rehabilitation robotics, this technology has found limited traction in clinical practice. A key reason for this issue is that most robots are expensive, bulky, and not scalable for in-home rehabilitation. Here, we introduce a semi-passive rehabilitation robot (SepaRRo) that uses controllable passive actuators (i.e., brakes) to provide controllable resistances at the end-effector over a large workspace in a manner that is cost-effective and safe for in-home use. We also validated the device through theoretical analyses, hardware experiments, and human subject experiments. We found that by including kinematic redundancies in the robot's linkages, the device was able to provide controllable resistances to purely resist the movement of the end-effector, or to gently steer (i.e., perturb) its motion away from the intended path. When testing these capabilities on human subjects, we found that many of the upper-extremity muscles could be selectively targeted based on the forcefield prescribed to the user. These results indicate that SepaRRo could serve as a low-cost therapeutic tool for upper-extremity rehabilitation; however, further testing is required to evaluate its therapeutic benefits in patient population.

Entities:  

Keywords:  Design; Feedback; Kinematics; Planar; Reaching; Simulation; Two-dimensional

Mesh:

Year:  2018        PMID: 29626272      PMCID: PMC5980770          DOI: 10.1007/s10439-018-2020-z

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  26 in total

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3.  The development of an upper limb stroke rehabilitation robot: identification of clinical practices and design requirements through a survey of therapists.

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4.  The FeSTivaLS trial protocol: a randomized evaluation of the efficacy of functional strength training on enhancing walking and upper limb function later post stroke.

Authors:  Kathryn Mares; Jane Cross; Allan Clark; Garry R Barton; Fiona Poland; Marie-Luce O'Driscoll; Martin J Watson; Kate McGlashan; Phyo K Myint; Valerie M Pomeroy
Journal:  Int J Stroke       Date:  2012-04-18       Impact factor: 5.266

Review 5.  A review of technological and clinical aspects of robot-aided rehabilitation of upper-extremity after stroke.

Authors:  Mahdieh Babaiasl; Seyyed Hamed Mahdioun; Poorya Jaryani; Mojtaba Yazdani
Journal:  Disabil Rehabil Assist Technol       Date:  2015-01-20

6.  Home stroke rehabilitation for the upper limbs.

Authors:  Richard D Willmann; Gerd Lanfermann; Privender Saini; Annick Timmermans; Jurgen te Vrugt; Stefan Winter
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7.  Training with robot-applied resistance in people with motor-incomplete spinal cord injury: Pilot study.

Authors:  Tania Lam; Katherine Pauhl; Amanda Ferguson; Raza N Malik; Andrei Krassioukov; Janice J Eng
Journal:  J Rehabil Res Dev       Date:  2015

8.  Abnormal muscle coactivation patterns during isometric torque generation at the elbow and shoulder in hemiparetic subjects.

Authors:  J P Dewald; P S Pope; J D Given; T S Buchanan; W Z Rymer
Journal:  Brain       Date:  1995-04       Impact factor: 13.501

9.  Robot-assisted arm trainer for the passive and active practice of bilateral forearm and wrist movements in hemiparetic subjects.

Authors:  Stefan Hesse; Gotthard Schulte-Tigges; Matthias Konrad; Anita Bardeleben; Cordula Werner
Journal:  Arch Phys Med Rehabil       Date:  2003-06       Impact factor: 3.966

10.  A pilot study on the feasibility of robot-aided leg motor training to facilitate active participation.

Authors:  Chandramouli Krishnan; Rajiv Ranganathan; Yasin Y Dhaher; William Z Rymer
Journal:  PLoS One       Date:  2013-10-11       Impact factor: 3.240

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  5 in total

1.  Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study.

Authors:  Edward P Washabaugh; Emma Treadway; R Brent Gillespie; C David Remy; Chandramouli Krishnan
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2.  Manipulating abnormal synergistic coupling of joint torques through force applications at the Hand: A Simulation-Based study.

Authors:  Thomas E Augenstein; Chandramouli Krishnan
Journal:  J Biomech       Date:  2021-12-24       Impact factor: 2.712

3.  Motor Modules are Impacted by the Number of Reaching Directions Included in the Analysis.

Authors:  Thomas E Augenstein; Edward P Washabaugh; C David Remy; Chandramouli Krishnan
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-07-10       Impact factor: 3.802

4.  A Portable Passive Rehabilitation Robot for Upper-Extremity Functional Resistance Training.

Authors:  Edward Washabaugh; Jane Guo; Chih-Kang Chang; David Remy; Chandramouli Krishnan
Journal:  IEEE Trans Biomed Eng       Date:  2018-06-21       Impact factor: 4.538

5.  Development, Dynamic Modeling, and Multi-Modal Control of a Therapeutic Exoskeleton for Upper Limb Rehabilitation Training.

Authors:  Qingcong Wu; Hongtao Wu
Journal:  Sensors (Basel)       Date:  2018-10-24       Impact factor: 3.576

  5 in total

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