Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control

Frontiers in Human Neuroscience

卷:16

Gernot R. Müller-Putz¹  Víctor Martínez-Cagigal³  Luka Batistić⁵  Andreea I. Sburlea⁶  Hannah Pulferer⁶  Catarina Lopes-Dias⁶  Nitikorn Srisrisawang⁶  Lea Hehenberger⁶  Valeria Mondini⁶  Reinmar J. Kobler⁷  Joana Pereira⁸ 

[1] BioTechMed, Graz, Austria;

[2] Biomedical Engineering Group, E.T.S. Ingenieros de Telecomunicación, University of Valladolid, Valladolid, Spain;

[3] Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Valladolid, Spain;

[4] Brain-State Decoding Lab, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany;

[5] Faculty of Engineering, Department of Computer Engineering, University of Rijeka, Rijeka, Croatia;

[6] Institute of Neural Engineering, Graz University of Technology, Graz, Austria;

[7] RIKEN Center for Advanced Intelligence Project, Kyoto, Japan;

[8] Stereotaxy and Functional Neurosurgery Department, Uniklinik Freiburg, Freiburg, Germany;

关键词: electroencephalogram (EEG);    brain-computer interface (BCI);    goal-directed movement;    movement detection;    trajectory decoding;    error-related potential;   

DOI  :  10.3389/fnhum.2022.841312

来源: DOAJ

【 摘 要 】

Establishing the basic knowledge, methodology, and technology for a framework for the continuous decoding of hand/arm movement intention was the aim of the ERC-funded project “Feel Your Reach”. In this work, we review the studies and methods we performed and implemented in the last 6 years, which build the basis for enabling severely paralyzed people to non-invasively control a robotic arm in real-time from electroencephalogram (EEG). In detail, we investigated goal-directed movement detection, decoding of executed and attempted movement trajectories, grasping correlates, error processing, and kinesthetic feedback. Although we have tested some of our approaches already with the target populations, we still need to transfer the “Feel Your Reach” framework to people with cervical spinal cord injury and evaluate the decoders’ performance while participants attempt to perform upper-limb movements. While on the one hand, we made major progress towards this ambitious goal, we also critically discuss current limitations.

【 授权许可】

Unknown