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Combined EEG-fNIRS decoding of motor attempt and imagery for brain switch control: an offline study in patients with tetraplegia.

Blokland, Y, Spyrou, L, Thijssen, D, Eijsvogels, T, Colier, W, Floor-Westerdijk, M, Vlek, R, Bruhn, J and Farquhar, J (2014) Combined EEG-fNIRS decoding of motor attempt and imagery for brain switch control: an offline study in patients with tetraplegia. IEEE Trans Neural Syst Rehabil Eng, 22 (2). pp. 222-229.

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Abstract

Combining electrophysiological and hemodynamic features is a novel approach for improving current performance of brain switches based on sensorimotor rhythms (SMR). This study was conducted with a dual purpose: to test the feasibility of using a combined electroencephalogram/functional near-infrared spectroscopy (EEG-fNIRS) SMR-based brain switch in patients with tetraplegia, and to examine the performance difference between motor imagery and motor attempt for this user group. A general improvement was found when using both EEG and fNIRS features for classification as compared to using the single-modality EEG classifier, with average classification rates of 79% for attempted movement and 70% for imagined movement. For the control group, rates of 87% and 79% were obtained, respectively, where the "attempted movement" condition was replaced with "actual movement." A combined EEG-fNIRS system might be especially beneficial for users who lack sufficient control of current EEG-based brain switches. The average classification performance in the patient group for attempted movement was significantly higher than for imagined movement using the EEG-only as well as the combined classifier, arguing for the case of a paradigm shift in current brain switch research.

Item Type: Article
Authors :
NameEmailORCID
Blokland, YUNSPECIFIEDUNSPECIFIED
Spyrou, Ll.spyrou@surrey.ac.ukUNSPECIFIED
Thijssen, DUNSPECIFIEDUNSPECIFIED
Eijsvogels, TUNSPECIFIEDUNSPECIFIED
Colier, WUNSPECIFIEDUNSPECIFIED
Floor-Westerdijk, MUNSPECIFIEDUNSPECIFIED
Vlek, RUNSPECIFIEDUNSPECIFIED
Bruhn, JUNSPECIFIEDUNSPECIFIED
Farquhar, JUNSPECIFIEDUNSPECIFIED
Date : March 2014
Identification Number : https://doi.org/10.1109/TNSRE.2013.2292995
Uncontrolled Keywords : Adult, Algorithms, Brain, Brain-Computer Interfaces, Electroencephalography, Feasibility Studies, Humans, Imagination, Male, Middle Aged, Motor Cortex, Movement, Psychomotor Performance, Quadriplegia, Somatosensory Cortex, Spectroscopy, Near-Infrared, User-Computer Interface
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:17
Last Modified : 17 May 2017 13:17
URI: http://epubs.surrey.ac.uk/id/eprint/838636

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