Robohub.org
 

Long-term control of brain-computer interfaces by users with locked-in syndrome

by
28 August 2017



share this:

Using Brain Computer Interfaces (BCI) as a way to give people with locked-in syndrome back reliable communication and control capabilities has long been a futuristic trope of medical dramas and sci-fi. A team from NCCR Robotics and CNBI, EPFL have recently published a paper detailing work as a step towards taking this technique into everyday lives of those affected by extreme paralysis.

BCIs measure brainwaves using sensors placed outside of the head. With careful training and calibration, these brainwaves can be used to understand the intention of the person they are recorded from. However, one of the challenges of using BCIs in everyday life is the variation in the BCI performance over time. This issue is particularly important for motor-restricted end-users, as they usually suffer from even higher fluctuations of their brain signals and resulting performance. One approach to tackle this issue is to use shared control approaches for BCI, which has so far been mostly based on predefined settings, providing a fixed level of assistance to the user.

The team tackled the issue of performance variation by developing a system capable of dynamically matching the user’s evolving capabilities with the appropriate level of assistance. The key element of this adaptive shared control framework is to incorporate the user’s brain state and signal reliability while the user is trying to deliver a BCI command.

The team tested their novel strategy with one person with incomplete locked-in syndrome, multiple times over the course of a year. The person was asked to imagine moving the right hand to trigger a “right command”, and the left hand for a “left command” to control an avatar in a computer game. They demonstrated how adaptive shared control can exploit an estimation of the BCI performance (in terms of command delivery time) to adjust online the level of assistance in a BCI game by regulating its speed. Remarkably, the results exhibited a stable performance over several months without recalibration of the BCI classifier or the performance estimator.

This work marks the first time that this design has been successfully tested with an end-user with incomplete locked-in syndrome and successfully replicates the results of earlier tests with able bodied subjects.

 

Reference:

S. Saeedi, R. Chavarriage and J. del R. Millán, “Long-Term Stable Control of Motor-Imagery BCI by a Locked-In User Through Adaptive Assistance,” IEEE Transactions on neural systems and rehabilitation engineering,” Vol. 25, no. 4, 380-391.



tags:


NCCR Robotics





Related posts :



World Robotics 2023 report: Asia ahead of Europe and the Americas

The new World Robotics report recorded 553,052 industrial robot installations in factories around the world – a growth rate of 5% in 2022, year-on-year. By region, 73% of all newly deployed robots were installed in Asia, 15% in Europe and 10% in the Americas.

#IROS2023: A glimpse into the next generation of robotics

The 2023 EEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023) kicks off today at the Huntington Place in Detroit, Michigan.
01 October 2023, by

Robot Talk Episode 55 – Sara Adela Abad Guaman

In the first episode of the new season, Claire chatted to Dr. Sara Adela Abad Guaman from University College London about adaptable robots inspired by nature.
30 September 2023, by

A short guide to Multidisciplinary Research

How and Why would I consider colliding two opposite disciplines in my research.
27 September 2023, by

Robo-Insight #5

In this fifth edition, we are excited to feature robot progress in human-robot interaction, agile movement, enhanced training methods, soft robotics, brain surgery, medical navigation, and ecological research. 
25 September 2023, by

Soft robotic tool provides new ‘eyes’ in endovascular surgery

The magnetic device can help visualise and navigate complex and narrow spaces.





©2021 - ROBOTS Association


 












©2021 - ROBOTS Association