Researchers develop novel Brain Training Device to reconnect brain and paralyzed limb after stroke

The world's first Brain Training Device has given a ray of new hope to the recovery of survivors after stroke. Developed by researchers of The Hong Kong Polytechnic University, this novel device can detect brainwave and control the movement of paralyzed limbs.

The world's first Device has given a ray of new hope to the recovery of survivors after stroke. Developed by researchers of The Hong Kong Polytechnic University (PolyU)'s Interdisciplinary Division of Biomedical Engineering (BME), this which can detect brainwave, and thereby control the movement of paralyzed limbs, or go even further to control a based on its .

The research was led by Prof. Raymond Tong Kai-yu, Professor of PolyU's Interdisciplinary Division of Biomedical Engineering, who is also the Principal Investigator of the award-winning Exoskeleton Hand Robotic Training Device or the "Hand of Hope".

The latest breakthrough "Brain Training Device" can be coupled with the use of the "Hand of Hope" to achieve higher degree of recovery for . While effective motor recovery after stroke depends on early and intensive voluntary practice of the paretic limbs, current rehabilitation products have not use brainwave to guide the to identify voluntary intention and to relearn how to reconnect to their paralyzed limb again.

Prof. Raymond Tong and his team therefore developed the Brain Training Device with a new coherence algorithm for hand function training. The new algorithm is based on frequency coherence on surface electroencephalography (EEG, brainwave) and electromyography (EMG, muscle activities) to identify voluntary intention and their connection.

"The Brain Training Device is able to guide the stroke patients to relearn the between the brain and the limb, with a new design on the EEG headset and the EMG forearm brace to transmit data for controlling a hand interfaced by a telecare software platform using iPad app." Prof. Raymond Tong explained.

The patented Brain Training System, which looks like a helmet for cyclist and can read brainwaves, also has new features to find the specific EEG electrode locations for each individual stroke patient and reduce the number of EEG electrodes, which can reduce the system cost and the preparation time for brain training, added by Prof. Tong.

To find a minimal set of electrodes to control the device with accuracy higher than 90%, five chronic stroke patients were recruited to be trained for 20 sessions in the study. The researchers found that, in general, 32 electrodes are needed to maintain accuracy higher than 90%.

The high accuracy and low number of channels needed means that the Brain Training Device is a viable tool for assistive aid and rehabilitation training. The futuristic system will be made portable and easy-to-use at hospital and home settings.

PolyU researchers have already filed patents for this Brain Training Device in both the United States and China. This project is funded by the HKSAR Government's Innovation and Technology Fund (ITF). The findings of this brain control algorithm have been published as the cover story in top international journal IEEE Transactions on Neural Systems and Rehabilitation Engineering (2011.12).

add to favorites email to friend print save as pdf

Related Stories

Hand Robot - a revolution of stroke therapy

Aug 04, 2011

Jointly developed by Dr Raymond Tong Kai-yu, Associate Professor of the Department of Health Technology and Informatics, and the Industrial Centre, this Exoskeleton Hand Robotic Training Device works to recover ...

SMART Arm helps stroke survivors recover faster

Nov 09, 2012

(Medical Xpress)—A non-robotic device that helps stroke survivors regain upper limb movement is expected to be commercially available in Australia within the next 12 months.

Predicting recovery after stroke

Aug 01, 2012

(Medical Xpress) -- In work that may revolutionise rehabilitation for stroke patients, researchers from The University of Auckland and the Auckland District Health Board have shown it is possible to predict an individual’s ...

Brain wave-reading robot might help stroke patients

Aug 20, 2012

(Medical Xpress) -- What comes naturally to most people – to think and then do – is difficult for stroke patients who have lost the full use of their limbs. New research by Rice University, the ...

Recommended for you

'Trigger' for stress processes discovered in the brain

4 hours ago

At the Center for Brain Research at the MedUni Vienna an important factor for stress has been identified in collaboration with the Karolinska Institutet in Stockholm (Sweden). This is the protein secretagogin ...

New research supporting stroke rehabilitation

Nov 26, 2014

Using world-leading research methods, the team of Dr David Wright and Prof Paul Holmes, working with Dr Jacqueline Williams from the Victoria University in Melbourne, studied activity in an area of the brain ...

User comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.