Literature DB >> 18430678

KineAssist: design and development of a robotic overground gait and balance therapy device.

James Patton1, David A Brown, Michael Peshkin, Julio J Santos-Munné, Alex Makhlin, Ela Lewis, Edward J Colgate, Doug Schwandt.   

Abstract

BACKGROUND AND
PURPOSE: Balance and mobility training consists of activities that carry a high risk for falling. The purpose of this article is to describe a novel robotic system for allowing challenging, yet safe, balance and mobility training in persons at high risk for falls.
METHOD: With no initial preconceptions of what device we would build, a user-needs analysis led us to focus on increasing the level of challenge to a patient's ability to maintain balance during gait training and also on maintaining direct involvement of a physical therapist (rather than attempting robotic replacement). The KineAssist is a robotic device for gait and balance training that has emerged from a unique design process of a start-up product of a small company and a team of therapists, engineers, mechanical design experts, and rehabilitation scientists.
RESULTS: The KineAssist provides partial body weight support and postural control on the torso; allows many axes of motion of the trunk and pelvis; leaves the patient's legs accessible to a physical therapist's manipulation during walking; follows a patient's walking motions overground in forward, rotation, and sidestepping directions; and catches an individual who loses balance and begins to fall. DISCUSSION AND
CONCLUSION: Design and development of the KineAssist proceeded more rapidly in the context of a small company than would have been possible in most institutional research contexts. A prototype KineAssist has been constructed and has received US Food and Drug Administration (FDA) classification and institutional review board clearance for initial human studies. The acceptance of KineAssist will ultimately depend on improved patient outcomes, the use of this new tool by therapists, the ease of use of the system, and the recognition of the unique value it brings to therapeutic recovery.

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Year:  2008        PMID: 18430678     DOI: 10.1310/tsr1502-131

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  23 in total

Review 1.  How a diverse research ecosystem has generated new rehabilitation technologies: Review of NIDILRR's Rehabilitation Engineering Research Centers.

Authors:  David J Reinkensmeyer; Sarah Blackstone; Cathy Bodine; John Brabyn; David Brienza; Kevin Caves; Frank DeRuyter; Edmund Durfee; Stefania Fatone; Geoff Fernie; Steven Gard; Patricia Karg; Todd A Kuiken; Gerald F Harris; Mike Jones; Yue Li; Jordana Maisel; Michael McCue; Michelle A Meade; Helena Mitchell; Tracy L Mitzner; James L Patton; Philip S Requejo; James H Rimmer; Wendy A Rogers; W Zev Rymer; Jon A Sanford; Lawrence Schneider; Levin Sliker; Stephen Sprigle; Aaron Steinfeld; Edward Steinfeld; Gregg Vanderheiden; Carolee Winstein; Li-Qun Zhang; Thomas Corfman
Journal:  J Neuroeng Rehabil       Date:  2017-11-06       Impact factor: 4.262

2.  Effects of Balance Control Training on Functional Outcomes in Subacute Hemiparetic Stroke Patients.

Authors:  Jin Seok Huh; Yang-Soo Lee; Chul-Hyun Kim; Yu-Sun Min; Min-Gu Kang; Tae-Du Jung
Journal:  Ann Rehabil Med       Date:  2015-12-29

3.  Robotics to enable older adults to remain living at home.

Authors:  Alan J Pearce; Brooke Adair; Kimberly Miller; Elizabeth Ozanne; Catherine Said; Nick Santamaria; Meg E Morris
Journal:  J Aging Res       Date:  2012-12-04

4.  Maximum walking speeds obtained using treadmill and overground robot system in persons with post-stroke hemiplegia.

Authors:  Carmen E Capó-Lugo; Christopher H Mullens; David A Brown
Journal:  J Neuroeng Rehabil       Date:  2012-10-11       Impact factor: 4.262

5.  Feasibility and effects of newly developed balance control trainer for mobility and balance in chronic stroke patients: a randomized controlled trial.

Authors:  So Hyun Lee; Seung Deuk Byun; Chul Hyun Kim; Jin Young Go; Hyeon Uk Nam; Jin Seok Huh; Tae Du Jung
Journal:  Ann Rehabil Med       Date:  2012-08-27

6.  Comparison of Resistance-Based Walking Cardiorespiratory Test to the Bruce Protocol.

Authors:  Christopher P Hurt; Marcas M Bamman; Avantika Naidu; David A Brown
Journal:  J Strength Cond Res       Date:  2020-12       Impact factor: 4.415

7.  Effects of kinesthetic haptic feedback on standing stability of young healthy subjects and stroke patients.

Authors:  Muhammad Raheel Afzal; Ha-Young Byun; Min-Kyun Oh; Jungwon Yoon
Journal:  J Neuroeng Rehabil       Date:  2015-03-13       Impact factor: 4.262

8.  General and Specific Strategies Used to Facilitate Locomotor Maneuvers.

Authors:  Mengnan Wu; Jesse H Matsubara; Keith E Gordon
Journal:  PLoS One       Date:  2015-07-13       Impact factor: 3.240

9.  Collaborative robotic biomechanical interactions and gait adjustments in young, non-impaired individuals.

Authors:  Valdeci C Dionisio; David A Brown
Journal:  J Neuroeng Rehabil       Date:  2016-06-16       Impact factor: 4.262

Review 10.  Perspectives on human-human sensorimotor interactions for the design of rehabilitation robots.

Authors:  Andrew Sawers; Lena H Ting
Journal:  J Neuroeng Rehabil       Date:  2014-10-06       Impact factor: 4.262

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