Literature DB >> 16680610

Response to upper-limb robotics and functional neuromuscular stimulation following stroke.

Janis J Daly1, Neville Hogan, Elizabeth M Perepezko, Hermano I Krebs, Jean M Rogers, Kanu S Goyal, Mark E Dohring, Eric Fredrickson, Joan Nethery, Robert L Ruff.   

Abstract

Twelve moderately to severely involved chronic stroke survivors (>12 mo) were randomized to one of two treatments: robotics and motor learning (ROB-ML) or functional neuromuscular stimulation and motor learning (FNS-ML). Treatment was 5 h/d, 5 d/wk for 12 wk. ROB-ML group had 1.5 h per session devoted to robotics shoulder and elbow (S/E) training. FNS-ML had 1.5 h per session devoted to functional neuromuscular stimulation (surface electrodes) for wrist and hand (W/H) flexors/extensors. The primary outcome measure was the functional measure Arm Motor Ability Test (AMAT). Secondary measures were AMAT-S/E and AMAT-W/H, Fugl-Meyer (FM) upper-limb coordination, and the motor control measures of target accuracy (TA) and smoothness of movement (SM). ROB-ML produced significant gains in AMAT, AMAT-S/E, FM upper-limb coordination, TA, and SM. FNS-ML produced significant gains in AMAT-W/H and FM upper-limb coordination.

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Mesh:

Year:  2005        PMID: 16680610     DOI: 10.1682/jrrd.2005.02.0048

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


  48 in total

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2.  Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.

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3.  Robotically facilitated virtual rehabilitation of arm transport integrated with finger movement in persons with hemiparesis.

Authors:  Alma S Merians; Gerard G Fluet; Qinyin Qiu; Soha Saleh; Ian Lafond; Amy Davidow; Sergei V Adamovich
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Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-04-12       Impact factor: 3.802

5.  Therapeutic Applications of BCI Technologies.

Authors:  Dennis J McFarland; Janis Daly; Chadwick Boulay; Muhammad Parvaz
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2017-04-10

6.  Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trial.

Authors:  Jennifer L Sullivan; Nikunj A Bhagat; Nuray Yozbatiran; Ruta Paranjape; Colin G Losey; Robert G Grossman; Jose L Contreras-Vidal; Gerard E Francisco; Marcia K O'Malley
Journal:  IEEE Int Conf Rehabil Robot       Date:  2017-07

Review 7.  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

8.  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

9.  A psychometric evaluation of the Arm Motor Ability Test.

Authors:  Michael W O'Dell; Grace Kim; Lisa Rivera; Robert Fieo; Paul Christos; Caitlin Polistena; Kerri Fitzgerald; Delia Gorga
Journal:  J Rehabil Med       Date:  2013-06       Impact factor: 2.912

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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