Literature DB >> 29994617

A Soft Exosuit for Flexible Upper-Extremity Rehabilitation.

Steven Lessard, Pattawong Pansodtee, Ash Robbins, James M Trombadore, Sri Kurniawan, Mircea Teodorescu.   

Abstract

For stroke survivors and many other people with upper-extremity impairment, daily life can be difficult without properly functioning arms. Some modern physical therapy exercises focus on rehabilitating people with these troubles by correcting patients' perceptions of their own body to eventually regain complete control and strength over their arms again. Augmentative wearable robots, such as the upper-extremity exoskeletons and exosuits, may be able to assist in this endeavor. A common drawback in many of these exoskeletons, however, is their inability to conform to the natural flexibility of the human body without a rigid base. We have built one such exosuit to address this challenge: Compliant Robotic Upper-extremity eXosuit (CRUX). This robot is a compliant, lightweight, multi-DoF, portable exosuit that affords its wearer the ability to augment themselves in many unconventional settings (i.e. outside of a clinic). These attributes are largely achieved by using a modified tensegrity design situated according to measured lines of minimal-extension, where a network of tension members provide a foundation to apply augmentative forces via precisely placed power-lines. In this paper, we detail the design process of CRUX, the report on CRUX's prototypical composition, and describe the mimetic control algorithm used. We also discuss the results of three studies that illustrate the efficacy of CRUX's mimetic controller, CRUX's flexibility and compliance, and the metabolic cost reduction when users exercise with assistance from CRUX as opposed to without. We conclude this paper with a summary of our findings, potential use cases for this technology, and the direction of future related work.

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Year:  2018        PMID: 29994617     DOI: 10.1109/TNSRE.2018.2854219

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  8 in total

1.  Quantitative Analysis of EEG Power Spectrum and EMG Median Power Frequency Changes after Continuous Passive Motion Mirror Therapy System.

Authors:  Taewoong Park; Mina Lee; Taejong Jeong; Yong-Il Shin; Sung-Min Park
Journal:  Sensors (Basel)       Date:  2020-04-21       Impact factor: 3.576

2.  Characterizing force capability and stiffness of hip exosuits under different anchor points.

Authors:  Jihun Kim; Junyoung Moon; Sungjin Park; Giuk Lee
Journal:  PLoS One       Date:  2022-08-04       Impact factor: 3.752

Review 3.  Upper limb soft robotic wearable devices: a systematic review.

Authors:  Elena Bardi; Marta Gandolla; Francesco Braghin; Ferruccio Resta; Alessandra L G Pedrocchi; Emilia Ambrosini
Journal:  J Neuroeng Rehabil       Date:  2022-08-10       Impact factor: 5.208

4.  A wearable textile-based pneumatic energy harvesting system for assistive robotics.

Authors:  Rachel A Shveda; Anoop Rajappan; Te Faye Yap; Zhen Liu; Marquise D Bell; Barclay Jumet; Vanessa Sanchez; Daniel J Preston
Journal:  Sci Adv       Date:  2022-08-24       Impact factor: 14.957

Review 5.  Soft Wearable Robots: Development Status and Technical Challenges.

Authors:  Yongjun Shi; Wei Dong; Weiqi Lin; Yongzhuo Gao
Journal:  Sensors (Basel)       Date:  2022-10-06       Impact factor: 3.847

6.  Soft pneumatic elbow exoskeleton reduces the muscle activity, metabolic cost and fatigue during holding and carrying of loads.

Authors:  John Nassour; Martin Grimmer; Guoping Zhao
Journal:  Sci Rep       Date:  2021-06-15       Impact factor: 4.379

7.  Efficient Multiaxial Shoulder-Motion Tracking Based on Flexible Resistive Sensors Applied to Exosuits.

Authors:  J Luis Samper-Escudero; Aldo F Contreras-González; Manuel Ferre; Miguel A Sánchez-Urán; David Pont-Esteban
Journal:  Soft Robot       Date:  2020-01-06       Impact factor: 8.071

8.  An Exoneuromusculoskeleton for Self-Help Upper Limb Rehabilitation After Stroke.

Authors:  Chingyi Nam; Wei Rong; Waiming Li; Chingyee Cheung; Wingkit Ngai; Tszching Cheung; Mankit Pang; Li Li; Junyan Hu; Honwah Wai; Xiaoling Hu
Journal:  Soft Robot       Date:  2020-12-03       Impact factor: 8.071

  8 in total

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