Project Details
Description
In Europe estimated 300.000 people are suffering from a spinal cord injury (SCI) with 11.000 new injuries per year. The
consequences of spinal cord injury are tremendous for these individuals. The loss of motor functions especially of the arm
and grasping function – 40% are tetraplegics – leads to a life-long dependency on care givers and therefore to a dramatic
decrease in quality of life in these often young individuals. With the help of neuroprostheses, grasp and elbow function can
be substantially improved. However, remaining body movements often do not provide enough degrees of freedom to control
the neuroprosthesis.
The ideal solution for voluntary control of an upper extremity neuroprosthesis would be to directly record motor commands
from the corresponding cortical areas and convert them into control signals. This would realize a technical bypass around
the interrupted nerve fiber tracts in the spinal cord.
A Brain-Computer Interface (BCI) transform mentally induced changes of brain signals into control signals and serve as an
alternative human-machine interface. We showed first results in EEG-based control of a neuroprosthesis in several persons
with SCI in the last decade, however, the control is still unnatural and cumbersome.
The objective of FEEL YOUR REACH is to develop a novel control framework that incorporates goal directed movement
intention, movement decoding, error processing, processing of sensory feedback to allow a more natural control of a
neuroprosthesis. To achieve this aim a goal directed movement decoder will be realized, and continuous error potential
decoding will be included. Both will be finally joined together with an artificial kinesthetic sensory feedback display attached
to the user. We hypothesize that with these mechanisms a user will be able to naturally control an neuroprosthesis with his/
her mind only.
| Status | Finished |
|---|---|
| Effective start/end date | 1/05/16 → 31/07/21 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Improving non-invasive trajectory decoding via neural correlates of continuous erroneous feedback processing
Pulferer, H. S., Kostoglou, K. & Müller-Putz, G., 12 Sept 2024, In: Journal of Neural Engineering. 21, 5, 056010.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Applying Dimensionality Reduction Techniques in Source-Space Electroencephalography via Template and Magnetic Resonance Imaging-Derived Head Models to Continuously Decode Hand Trajectories
Srisrisawang, N. & Müller-Putz, G., 24 Mar 2022, In: Frontiers in Human Neuroscience. 16, 830221.Research output: Contribution to journal › Article › peer-review
Open Access -
Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control
Müller-Putz, G. R., Kobler, R. J., Pereira, J., Lopes-Dias, C., Hehenberger, L., Mondini, V., Martínez-Cagigal, V., Srisrisawang, N., Pulferer, H., Batistić, L. & Sburlea, A. I., 2022, In: Frontiers in Human Neuroscience. 16, 841312.Research output: Contribution to journal › Article › peer-review
Open Access
Prizes
Activities
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Non-invasive BCI for the control of upper limbs
Müller-Putz, G. (Speaker)
6 Dec 2022Activity: Talk or presentation › Invited talk › Science to science
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An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Enable Robotic Arm Control with Kinesthetic Feedback: Feel Your Reach
Müller-Putz, G. (Speaker)
30 Sept 2022Activity: Talk or presentation › Talk at conference or symposium › Science to science
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An EEG-Based Framework to Continuously Detect Goal-Directed Movements and ErrorProcessing to Enable Robotic Arm Control with Kinesthetic Feedback: Feel Your Reach
Müller-Putz, G. (Speaker)
28 Sept 2022 → 30 Sept 2022Activity: Talk or presentation › Talk at conference or symposium › Science to science