A brain–computer interface for single-trial detection of gait initiation from movement related cortical potentials. Issue 1 (January 2015)

• Record Type: Journal Article
• Authors: Jiang, Ning; Gizzi, Leonardo; Mrachacz-Kersting, Natalie; Dremstrup, Kim; Farina, Dario
• Is Part Of: Clinical neurophysiology. Volume 126:Issue 1(2015:Jan.)
• Page Start: 154
• Page End: 159
• Publication Date: 2015-01
• Subjects: Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2014.05.003
• Languages: English
• ISSNs: 1388-2457

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st055">Highlights</title> <sec> <p id="sp0005"> <list id="l0005"> <list-item id="o0005"> <label></label> <p id="p0120">Accurate single trial detection of the intention of step initiation from scalp EEG.</p> </list-item> <list-item id="o0010"> <label></label> <p id="p0125">Independent component analysis (ICA) preprocessing helps to automatically remove EEG artifacts and enhances detection performance.</p> </list-item> <list-item id="o0015"> <label></label> <p id="p0130">All participating subjects were BCI/EEG naïve subjects, implying general applicability of the proposed approach.</p> </list-item> </list> </p> </sec> </abstract>