Literature DB >> 28580370

Robotic Assist-As-Needed as an Alternative to Therapist-Assisted Gait Rehabilitation.

Shraddha Srivastava1, Pei Chun Kao2, Darcy S Reisman3, John P Scholz3, Sunil K Agrawal4, Jill S Higginson5.   

Abstract

OBJECTIVE: Body Weight Supported Treadmill Training (BWSTT) with therapists' assistance is often used for gait rehabilitation post-stroke. However, this training method is labor-intensive, requiring at least one or as many as three therapists at once for manual assistance. Previously, we demonstrated that providing movement guidance using a performance-based robot-aided gait training (RAGT) that applies a compliant, assist-as-needed force-field improves gait pattern and functional walking ability in people post-stroke. In the current study, we compared the effects of assist-as-needed RAGT combined with functional electrical stimulation and visual feedback with BWSTT to determine if RAGT could serve as an alternative for locomotor training.
METHODS: Twelve stroke survivors were randomly assigned to one of the two groups, either receiving BWSTT with manual assistance or RAGT with functional electrical stimulation and visual feedback. All subjects received fifteen 40-minutes training sessions.
RESULTS: Clinical measures, kinematic data, and EMG data were collected before and immediately after the training for fifteen sessions. Subjects receiving RAGT demonstrated significant improvements in their self-selected over-ground walking speed, Functional Gait Assessment, Timed Up and Go scores, swing-phase peak knee flexion angle, and muscle coordination pattern. Subjects receiving BWSTT demonstrated significant improvements in the Six-minute walk test. However, there was an overall trend toward improvement in most measures with both interventions, thus there were no significant between-group differences in the improvements following training.
CONCLUSION: The current findings suggest that RAGT worked at least as well as BWSTT and thus may be used as an alternative rehabilitation method to improve gait pattern post-stroke as it requires less physical effort from the therapists compared to BWSTT.

Entities:  

Keywords:  Assist-as-needed; Body weight supported treadmill training; Force-field; Gait rehabilitation; Locomotion; Robotic exoskeleton; Stroke

Year:  2016        PMID: 28580370      PMCID: PMC5450822          DOI: 10.4172/2329-9096.1000370

Source DB:  PubMed          Journal:  Int J Phys Med Rehabil        ISSN: 2329-9096


  51 in total

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Authors:  Kyle N Winfree; Paul Stegall; Sunil K Agrawal
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

2.  Patient-cooperative strategies for robot-aided treadmill training: first experimental results.

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3.  Psychometric comparisons of 3 functional ambulation measures for patients with stroke.

Authors:  Jau-Hong Lin; Miao-Ju Hsu; Hsin-Wen Hsu; Hung-Chia Wu; Ching-Lin Hsieh
Journal:  Stroke       Date:  2010-07-29       Impact factor: 7.914

4.  Body-weight-supported treadmill rehabilitation after stroke.

Authors:  Pamela W Duncan; Katherine J Sullivan; Andrea L Behrman; Stanley P Azen; Samuel S Wu; Stephen E Nadeau; Bruce H Dobkin; Dorian K Rose; Julie K Tilson; Steven Cen; Sarah K Hayden
Journal:  N Engl J Med       Date:  2011-05-26       Impact factor: 91.245

5.  Treadmill training with partial body weight support compared with physiotherapy in nonambulatory hemiparetic patients.

Authors:  S Hesse; C Bertelt; M T Jahnke; A Schaffrin; P Baake; M Malezic; K H Mauritz
Journal:  Stroke       Date:  1995-06       Impact factor: 7.914

6.  Reducing robotic guidance during robot-assisted gait training improves gait function: a case report on a stroke survivor.

Authors:  Chandramouli Krishnan; Despina Kotsapouikis; Yasin Y Dhaher; William Z Rymer
Journal:  Arch Phys Med Rehabil       Date:  2012-11-17       Impact factor: 3.966

7.  Meaningful gait speed improvement during the first 60 days poststroke: minimal clinically important difference.

Authors:  Julie K Tilson; Katherine J Sullivan; Steven Y Cen; Dorian K Rose; Cherisha H Koradia; Stanley P Azen; Pamela W Duncan
Journal:  Phys Ther       Date:  2009-12-18

8.  IRIS: Integrated Robotic Intraocular Snake.

Authors:  Xingchi He; Vincent van Geirt; Peter Gehlbach; Russell Taylor; Iulian Iordachita
Journal:  IEEE Int Conf Robot Autom       Date:  2015-05

9.  The 6-minute walk: a new measure of exercise capacity in patients with chronic heart failure.

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Journal:  Can Med Assoc J       Date:  1985-04-15       Impact factor: 8.262

10.  Optimal outcomes obtained with body-weight support combined with treadmill training in stroke subjects.

Authors:  Hugues Barbeau; Martha Visintin
Journal:  Arch Phys Med Rehabil       Date:  2003-10       Impact factor: 3.966

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  11 in total

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Authors:  Chandramouli Krishnan
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2.  Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session.

Authors:  Roberto Di Marco; Maria Rubega; Olive Lennon; Emanuela Formaggio; Ngadhnjim Sutaj; Giacomo Dazzi; Chiara Venturin; Ilenia Bonini; Rupert Ortner; Humberto Antonio Cerrel Bazo; Luca Tonin; Stefano Tortora; Stefano Masiero; Alessandra Del Felice
Journal:  Methods Protoc       Date:  2021-07-13

3.  Upper limb robotic rehabilitation for chronic stroke survivors: a single-group preliminary study.

Authors:  Ki Hun Cho; Mi-Ran Hong; Won-Kyung Song
Journal:  J Phys Ther Sci       Date:  2018-04-20

4.  A Systematic Review Establishing the Current State-of-the-Art, the Limitations, and the DESIRED Checklist in Studies of Direct Neural Interfacing With Robotic Gait Devices in Stroke Rehabilitation.

Authors:  Olive Lennon; Michele Tonellato; Alessandra Del Felice; Roberto Di Marco; Caitriona Fingleton; Attila Korik; Eleonora Guanziroli; Franco Molteni; Christoph Guger; Rupert Otner; Damien Coyle
Journal:  Front Neurosci       Date:  2020-06-30       Impact factor: 4.677

5.  Effect of reducing assistance during robot-assisted gait training on step length asymmetry in patients with hemiplegic stroke: A randomized controlled pilot trial.

Authors:  Jin Seok Seo; Hee Seung Yang; Suk Jung; Chang Soon Kang; Sunghun Jang; Dae Hyun Kim
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.889

6.  Effect of assist-as-needed robotic gait training on the gait pattern post stroke: a randomized controlled trial.

Authors:  J F Alingh; B M Fleerkotte; A C H Geurts; J H Buurke; B E Groen; J S Rietman; V Weerdesteyn; E H F van Asseldonk
Journal:  J Neuroeng Rehabil       Date:  2021-02-05       Impact factor: 4.262

7.  Exploiting telerobotics for sensorimotor rehabilitation: a locomotor embodiment.

Authors:  Min Hyong Koh; Sheng-Che Yen; Lester Y Leung; Sarah Gans; Keri Sullivan; Yasaman Adibnia; Misha Pavel; Christopher J Hasson
Journal:  J Neuroeng Rehabil       Date:  2021-04-21       Impact factor: 4.262

8.  Effective robotic assistive pattern of treadmill training for spinal cord injury in a rat model.

Authors:  Bo-Lun Zhao; Wen-Tao Li; Xiao-Hua Zhou; Su-Qian Wu; Hong-Shi Cao; Zhu-Ren Bao; Li-Bin An
Journal:  Exp Ther Med       Date:  2018-01-31       Impact factor: 2.447

9.  A new lower limb portable exoskeleton for gait assistance in neurological patients: a proof of concept study.

Authors:  G Puyuelo-Quintana; R Cano-de-la-Cuerda; A Plaza-Flores; E Garces-Castellote; D Sanz-Merodio; A Goñi-Arana; J Marín-Ojea; E García-Armada
Journal:  J Neuroeng Rehabil       Date:  2020-05-06       Impact factor: 4.262

10.  Evolving Toward Subject-Specific Gait Rehabilitation Through Single-Joint Resistive Force Interventions.

Authors:  S Srikesh Iyer; Joel V Joseph; Vineet Vashista
Journal:  Front Neurorobot       Date:  2020-03-12       Impact factor: 2.650

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