Research on brain-to-computer signals to be presented at international conference

Work which aims to help doctors distinguish rehabilitation improvements in children is being presented by School of Engineering and Muir Maxwell Epilepsy Centre PhD student Eli Kinney-Lang at an international conference on 12 July.

Eli Kinney-Lang’s work focuses on Brain-Computer Interfaces (BCI) – a technology which translates communication between the brain and a computer. BCIs are currently used for motor-impaired individuals around the world, including for stroke patients who have little to no movement in their limbs.

While much work has been done to improve BCIs in this area, very few applications have examined how BCIs can be used for children.

Eli Kinney-Lang said, “One of the biggest challenges is to differentiate between a child’s normal developmental changes and the rehabilitation changes which are happening in their brain. My work aims to create a ‘developmental snapshot’ of these changes, using clues from the electric signals which are emitted from the brain. Identifying these snapshots may then help distinguish the important rehabilitation indicators, providing doctors with a far better analysis of their patients’ progress.”

Eli Kinney-Lang will be presenting his findings looking at EEGs and prediction of cognition to the Engineering in Medicine and Biology Conference hosted by the Institute of Electrical and Electronics Engineers (IEEE) in South Korea. In addition to being presented at the conference, this work has been selected as one of 15 top submissions in the student paper competition.


Update 13 July 2017:

Eli Kinney-Lang has been awarded third place in the Paper Competition of the international conference, a significant achievement. Well done Eli!