Robohub.org
 

Smart soft robotics for stroke rehabilitation

by
09 November 2017



share this:

The culmination of work by Alistair C. McConnell (lead-researcher) through his PhD and the SOPHIA team, the Soft Orthotic Physiotherapy Hand Interactive Aid (SOPHIA) forms the foundation for our future research into Soft Robotic rehabilitation systems.

Through Alistair’s research, it became apparent that there was a lack of stroke rehabilitation systems for the hand, that could be used in a domestic environment and monitor both physical and neural progress. Alistair conducted a thorough review of the literature to fully explore the state of the art, and apparent lack of this type of rehabilitation system. This review investigated the development of both Exoskeleton and End-Effector based systems to examine how this point was reached and what gaps and issues still occurred.
From this review and discussions with physiotherapists, we developed an idea for a brain machine controlled soft robotic system. The “Soft Orthotic Physiotherapy Hand Interactive Aid” (SOPHIA) needed to provide rehabilitation aid in two forms, passive and active:
• Passive rehabilitation, where the subject performs their exercises, and this is reflected in a 3D representation on a screen, and all the data is stored for analysis.
• Active rehabilitation, where the subject attempts to open their hand and if the full extension is not achieved in a designated time, the system provides the extra force needed.

Through a grant from the Newton Fund we developed the SOPHIA system, which consists of a soft robotic exoskeleton with a set of pneunets actuators providing the force for the fingers of a hand to be fully extended, and an electropneumatic control system containing the required diaphragm pumps, valves and sensors in a compact modular unit.
The inclusion of a Brain Machine Interface (BMI) allowed us to use motor imagery techniques, where the electroencephalogram signal from the subject could be used as a trigger for the extension motion of the hand, augmenting the active rehabilitation.
We designed the system to accept input from two different BMI devices, and compared a wired, high-end BMI with a low-cost, wireless BMI. By applying machine-learning approaches we were able to narrow down the differences in these two input systems, and our approach enabled the inexpensive system to perform at the same-level as the high-end system.

You can find further information on the SOPHIA system and the current state of the art in robotic devices and brain-machine interfaces for hand rehabilitation in our recent journal publications.

SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid: 
https://www.frontiersin.org/articles/10.3389/fmech.2017.00003/full

Robotic devices and brain-machine interfaces for hand rehabilitation post-stroke: 
https://www.ncbi.nlm.nih.gov/pubmed/28597018




Adam Stokes is a Lecturer in the Institute for Micro and Nano Systems (IMNS) at The University of Edinburgh.
Adam Stokes is a Lecturer in the Institute for Micro and Nano Systems (IMNS) at The University of Edinburgh.





Related posts :



Robot Talk Episode 101 – Christos Bergeles

In the latest episode of the Robot Talk podcast, Claire chatted to Christos Bergeles from King's College London about micro-surgical robots to deliver therapies deep inside the body.
06 December 2024, by

Robot Talk Episode 100 – Mini Rai

In the latest episode of the Robot Talk podcast, Claire chatted to Mini Rai from Orbit Rise about orbital and planetary robots.
29 November 2024, by

Robot Talk Episode 99 – Joe Wolfel

In the latest episode of the Robot Talk podcast, Claire chatted to Joe Wolfel from Terradepth about autonomous submersible robots for collecting ocean data.
22 November 2024, by

Robot Talk Episode 98 – Gabriella Pizzuto

In the latest episode of the Robot Talk podcast, Claire chatted to Gabriella Pizzuto from the University of Liverpool about intelligent robotic manipulators for laboratory automation.
15 November 2024, by

Online hands-on science communication training – sign up here!

Find out how to communicate about your work with experts from Robohub, AIhub, and IEEE Spectrum.
13 November 2024, by

Robot Talk Episode 97 – Pratap Tokekar

In the latest episode of the Robot Talk podcast, Claire chatted to Pratap Tokekar from the University of Maryland about how teams of robots with different capabilities can work together.
08 November 2024, by





Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association