Assisting hand function after spinal cord injury with a fabric-based soft robotic glove

With ANY BRAINS AT ALL in stroke leadership this would be researched for stroke rehab use. But we don't have any working neurons there so nothing will occur.  You're screwed.

Assisting hand function after spinal cord injury with a fabric-based soft robotic glove

• Leonardo Cappello,
• Jan T. Meyer,
• Kevin C. Galloway,
• Jeffrey D. Peisner,
• Rachael Granberry,
• Diana A. Wagner,
• Sven Engelhardt,
• Sabrina Paganoni and
• Conor J. WalshEmail author

Journal of NeuroEngineering and Rehabilitation201815:59

https://doi.org/10.1186/s12984-018-0391-x

©  The Author(s). 2018

Received: 10 December 2017

Accepted: 29 May 2018

Published: 28 June 2018

Abstract

Background

Spinal cord injury is a devastating condition that can dramatically impact hand motor function. Passive and active assistive devices are becoming more commonly used to enhance lost hand strength and dexterity. Soft robotics is an emerging discipline that combines the classical principles of robotics with soft materials and could provide a new class of active assistive devices. Soft robotic assistive devices enable a human-robot interaction facilitated by compliant and light-weight structures. The scope of this work was to demonstrate that a fabric-based soft robotic glove can effectively assist participants affected by spinal cord injury in manipulating objects encountered in daily living.

Methods

The Toronto Rehabilitation Institute Hand Function Test was administered to 9 participants with C4-C7 spinal cord injuries to assess the functionality of the soft robotic glove. The test included object manipulation tasks commonly encountered during activities of daily living (ADL) and lift force measurements. The test was administered to each participant twice; once without the assistive glove to provide baseline data and once while wearing the assistive glove. The object manipulation subtests were evaluated using a linear mixed model, including interaction effects of variables such as time since injury. The lift force measures were separately evaluated using the Wilcoxon signed-rank test.

Results

The soft robotic glove improved object manipulation in ADL tasks. The difference in mean scores between baseline and assisted conditions was significant across all participants and for all manipulated objects. An improvement of 33.42 ± 15.43% relative to the maximal test score indicates that the glove sufficiently enhances hand function during ADL tasks. Moreover, lift force also increased when using the assistive soft robotic glove, further demonstrating the effectiveness of the device in assisting hand function.

Conclusions

The results gathered in this study validate our fabric-based soft robotic glove as an effective device to assist hand function in individuals who have suffered upper limb paralysis following a spinal cord injury.