title: A novel co-locational and concurrent fNIRS/EEG measurement system: design and initial results.
abstract: We describe here the design, set-up and first time classification results of a novel co-locational functional Near-Infrared Spectroscopy/Electroencephalography (fNIRS/EEG) recording device suitable for brain computer interfacing applications using neural-hemodynamic signals. Our dual-modality system recorded both hemodynamic and electrical activity at seven sites over the motor cortex during an overt finger-tapping task. Data was collected from two subjects and classified offline using Linear Discriminant Analysis (LDA) and Leave-One-Out Cross-Validation (LOOCV). Classification of fNIRS features, EEG features and a combination of fNIRS/EEG features were performed separately. Results illustrate that classification of the combined fNIRS/EEG feature space offered average improved performance over classification of either feature space alone. The complementary nature of the physiological origin of the dual measurements offer a unique and information rich signal for a small measurement area of cortex. We feel this technology may be particularly useful in the design of BCI devices for the augmentation of neurorehabilitation therapy.
authors.affiliation: Biomedical Research Group, Department of Electronic Engineering, National University of Ireland Maynooth, Ireland. dleamy@eeng.nuim.ie
authors.forename: Darren J
authors.initials: DJ
authors.lastname: Leamy
authors.forename: Tomas E
authors.initials: TE
authors.lastname: Ward
mesh_terms: D000328:Adult; D016002:Discriminant Analysis; D004569:Electroencephalography; D006439:Hemodynamics; D006801:Humans; D008297:Male; D019265:Spectroscopy, Near-Infrared