Continuously Decoding Grasping Movements using Stereotactic Depth Electrodes

Maarten C Ottenhoff*, Sophocles Goulis, Louis Wagner, Simon Tousseyn, Albert Colon, Pieter Kubben, Christian Herff

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademic

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Abstract

Brain-Computer Interfaces (BCIs) that decode a patient's movement intention to control a prosthetic device could restore some independence to paralyzed patients. An important step on the road towards naturalistic prosthetic control is to decode movement continuously with low-latency. BCIs based on intracortical micro-arrays provide continuous control of robotic arms, but require a minor craniotomy. Surface recordings of neural activity using EEG have made great advances over the last years, but suffer from high noise levels and large intra-session variance. Here, we investigate the use of minimally invasive recordings using stereotactically implanted EEG (sEEG). These electrodes provide a sparse sampling across many brain regions. So far, promising decoding results have been presented using data measured from the subthalamic nucleus or trial-to-trial based methods using depth electrodes. In this work, we demonstrate that grasping movements can continuously be decoded using sEEG electrodes, as well. Beta and high-gamma activity was extracted from eight participants performing a grasping task. We demonstrate above chance level decoding of movement vs rest and left vs right, from both frequency bands with accuracies up to 0.94 AUC. The vastly different electrode locations between participants lead to large variability. In the future, we hope that sEEG recordings will provide additional information for the decoding process in neuroprostheses.

Original languageEnglish
Title of host publication2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
PublisherIEEE
Pages6098-6101
Number of pages4
ISBN (Electronic)978-1-7281-1179-7
ISBN (Print)978-1-7281-1180-3
DOIs
Publication statusPublished - Nov 2021
Event43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) - Mexico (Online)
Duration: 1 Nov 20215 Nov 2021
https://embc.embs.org/2021/

Conference

Conference43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Abbreviated titleEMBC 2021
Period1/11/215/11/21
Internet address

Keywords

  • Brain-Computer Interfaces
  • Electrodes
  • Electroencephalography
  • Hand Strength
  • Humans
  • Movement
  • EEG
  • PREDICTION

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