Literature DB >> 19165689

Feasibility of combining gait robot and multichannel functional electrical stimulation with intramuscular electrodes.

Jessica P McCabe1, Mark E Dohring, E Byron Marsolais, Jean Rogers, Richard Burdsall, Kristen Roenigk, Svetlana Pundik, Janis J Daly.   

Abstract

After stroke rehabilitation, many survivors of stroke exhibit persistent gait deficits. In previous work, we demonstrated significant gains in gait kinematics for survivors of chronic stroke using multichannel functional electrical stimulation with intramuscular electrodes (FES-IM). For this study, we tested the feasibility of combining FES-IM and gait robot technologies for treating persistent gait deficits after stroke. Six subjects, >or= 6 months after stroke, received 30-minute intervention sessions of combined FES-IM and gait robotics 4 days a week for 12 weeks. Feasibility was assessed according to three factors: (1) performance of the interface of the two technologies during intervention sessions, (2) clinicians' success in using two technologies simultaneously, and (3) subject satisfaction. FES-IM system hardware and software design features combined with the gait robot technology proved feasible to use. Each technology alone provided unique advantages and disadvantages of gait practice characteristics. Because of the unique advantages and disadvantages of each technology, gait deficits need to be accurately identified and a judicious treatment plan properly targeted before FES-IM, a gait robot, or both combined are selected.

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Year:  2008        PMID: 19165689     DOI: 10.1682/jrrd.2007.08.0124

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


  6 in total

1.  The effectiveness of functional electrical stimulation based on a normal gait pattern on subjects with early stroke: a randomized controlled trial.

Authors:  Zhimei Tan; Huihua Liu; Tiebin Yan; Dongmei Jin; Xiaokuo He; Xiuyuan Zheng; Shuwei Xu; Chunmei Tan
Journal:  Biomed Res Int       Date:  2014-07-10       Impact factor: 3.411

2.  Gait Event Detection for Stroke Patients during Robot-Assisted Gait Training.

Authors:  Andreas Schicketmueller; Juliane Lamprecht; Marc Hofmann; Michael Sailer; Georg Rose
Journal:  Sensors (Basel)       Date:  2020-06-16       Impact factor: 3.576

3.  Feasibility of a Sensor-Based Gait Event Detection Algorithm for Triggering Functional Electrical Stimulation during Robot-Assisted Gait Training.

Authors:  Andreas Schicketmueller; Georg Rose; Marc Hofmann
Journal:  Sensors (Basel)       Date:  2019-11-05       Impact factor: 3.576

4.  Patient-specific functional electrical stimulation strategy based on muscle synergy and walking posture analysis for gait rehabilitation of stroke patients.

Authors:  Junghwan Lim; Taehyun Lim; Jungeun Lee; Junhyuk Sim; Hyungjun Chang; Bumchul Yoon; Hoeryong Jung
Journal:  J Int Med Res       Date:  2021-05       Impact factor: 1.671

5.  Targeting CNS Neural Mechanisms of Gait in Stroke Neurorehabilitation.

Authors:  Jessica P McCabe; Svetlana Pundik; Janis J Daly
Journal:  Brain Sci       Date:  2022-08-09

Review 6.  The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians.

Authors:  Marco Iosa; Giovanni Morone; Andrea Cherubini; Stefano Paolucci
Journal:  J Med Biol Eng       Date:  2016-02-09       Impact factor: 1.553

  6 in total

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