Ofner, P. and Müller-Putz, G.R. (2015) Using a Noninvasive Decoding Method to Classify Rhythmic Movement Imaginations of the Arm in Two Planes. IEEE Transactions on Biomedical Engineering, 62, 972-981.
https://doi.org/10.1109/TBME.2014.2377023

has been cited by the following article:

• TITLE: 15 Years of Evolution of Non-Invasive EEG-Based Methods for Restoring Hand & Arm Function with Motor Neuroprosthetics in Individuals with High Spinal Cord Injury: A Review of Graz BCI Research

  AUTHORS: Gernot R. Müller-Putz, Philipp Plank, Bernhard Stadlbauer, Karina Statthaler, John Bosco Uroko

  KEYWORDS: Electroencephalogram (EEG), Brain-Computer Interface (BCI), Motor Neuroprosthesis, Spinal Cord Injury (SCI)

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.10 No.6, June 29, 2017

  ABSTRACT: Patients who suffer from a high spinal cord injury have severe motor disabilities in the lower as well as in the upper extremities. Thus they rely on the help of other people in everyday life. Restoring the function of the upper limbs, especially the grasp function can help them to gain some independence. Using EEG-based neuroprosthetics is a way to help tetraplegic people restore different grasp types as well as moving the arm and the elbow. In this work an overview of non-invasive EEG-based methods for restoring the hand and arm function with the use of neuroprosthetics in individuals with high spinal cord injury is given. Since the Graz BCI group is leading in this area of non-invasive research mainly, the work of this group is represented.