Literature DB >> 24187244

A soft robotic exomusculature glove with integrated sEMG sensing for hand rehabilitation.

Michael A Delph, Sarah A Fischer, Phillip W Gauthier, Carlos H Martinez Luna, Edward A Clancy, Gregory S Fischer.   

Abstract

Stroke affects 750,000 people annually, and 80% of stroke survivors are left with weakened limbs and hands. Repetitive hand movement is often used as a rehabilitation technique in order to regain hand movement and strength. In order to facilitate this rehabilitation, a robotic glove was designed to aid in the movement and coordination of gripping exercises. This glove utilizes a cable system to open and close a patients hand. The cables are actuated by servomotors, mounted in a backpack weighing 13.2 lbs including battery power sources. The glove can be controlled in terms of finger position and grip force through switch interface, software program, or surface myoelectric (sEMG) signal. The primary control modes of the system provide: active assistance, active resistance and a preprogrammed mode. This project developed a working prototype of the rehabilitative robotic glove which actuates the fingers over a full range of motion across one degree-of-freedom, and is capable of generating a maximum 15N grip force.

Entities:  

Mesh:

Year:  2013        PMID: 24187244     DOI: 10.1109/ICORR.2013.6650426

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  10 in total

1.  Force fluctuations while pressing and moving against high- and low-friction touch screen surfaces.

Authors:  Mukta N Joshi; Kevin G Keenan
Journal:  Exp Brain Res       Date:  2016-02-22       Impact factor: 1.972

Review 2.  Flexible Electronics and Devices as Human-Machine Interfaces for Medical Robotics.

Authors:  Wenzheng Heng; Samuel Solomon; Wei Gao
Journal:  Adv Mater       Date:  2022-02-25       Impact factor: 32.086

Review 3.  A structured overview of trends and technologies used in dynamic hand orthoses.

Authors:  Ronald A Bos; Claudia J W Haarman; Teun Stortelder; Kostas Nizamis; Just L Herder; Arno H A Stienen; Dick H Plettenburg
Journal:  J Neuroeng Rehabil       Date:  2016-06-29       Impact factor: 4.262

Review 4.  Hand Rehabilitation Robotics on Poststroke Motor Recovery.

Authors:  Zan Yue; Xue Zhang; Jing Wang
Journal:  Behav Neurol       Date:  2017-11-02       Impact factor: 3.342

Review 5.  Rehabilitative and assistive wearable mechatronic upper-limb devices: A review.

Authors:  Tyler Desplenter; Yue Zhou; Brandon Pr Edmonds; Myles Lidka; Allison Goldman; Ana Luisa Trejos
Journal:  J Rehabil Assist Technol Eng       Date:  2020-05-13

6.  Exploration of Human Activity Recognition Using a Single Sensor for Stroke Survivors and Able-Bodied People.

Authors:  Long Meng; Anjing Zhang; Chen Chen; Xingwei Wang; Xinyu Jiang; Linkai Tao; Jiahao Fan; Xuejiao Wu; Chenyun Dai; Yiyuan Zhang; Bart Vanrumste; Toshiyo Tamura; Wei Chen
Journal:  Sensors (Basel)       Date:  2021-01-26       Impact factor: 3.576

7.  Design and experimental testing of a force-augmenting exoskeleton for the human hand.

Authors:  Emily R Triolo; Brett F BuSha
Journal:  J Neuroeng Rehabil       Date:  2022-02-21       Impact factor: 4.262

Review 8.  Hand Rehabilitation Devices: A Comprehensive Systematic Review.

Authors:  Ryan Kabir; Md Samiul Haque Sunny; Helal Uddin Ahmed; Mohammad Habibur Rahman
Journal:  Micromachines (Basel)       Date:  2022-06-29       Impact factor: 3.523

9.  Design of a Reconfigurable Robotic System for Flexoextension Fitted to Hand Fingers Size.

Authors:  J Felipe Aguilar-Pereyra; Eduardo Castillo-Castaneda
Journal:  Appl Bionics Biomech       Date:  2016-07-25       Impact factor: 1.781

Review 10.  Soft robotic devices for hand rehabilitation and assistance: a narrative review.

Authors:  Chia-Ye Chu; Rita M Patterson
Journal:  J Neuroeng Rehabil       Date:  2018-02-17       Impact factor: 4.262

  10 in total

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