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Subject = Brain Computer Interface;
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Displaying Results 1 - 2 of 2 on page 1 of 1
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Combining fNIRS and EEG to improve motor cortex activity classification during an imagined movement-based task
(2011)
Leamy, Darren J.; Collins, Ronan; Ward, Tomas E.
Combining fNIRS and EEG to improve motor cortex activity classification during an imagined movement-based task
(2011)
Leamy, Darren J.; Collins, Ronan; Ward, Tomas E.
Abstract:
This work serves as an initial investigation into improvements to classification accuracy of an imagined movement-based Brain Computer Interface (BCI) by combining the feature spaces of two unique measurement modalities: functional near infrared spectroscopy (fNIRS) and electroencephalography (EEG). Our dual-modality system recorded concurrent and co-locational hemodynamic and electrical responses in the motor cortex during an imagined movement task, participated in by two subjects. Offline analysis and classification of fNIRS and EEG data was performed using leave-one-out cross-validation (LOOCV) and linear discriminant analysis (LDA). Classification of 2-dimensional fNIRS and EEG feature spaces was performed separately and then their feature spaces were combined for further classification. Results of our investigation indicate that by combining feature spaces, modest gains in classification accuracy of an imagined movement-based BCI can be achieved by employing a supplemental meas...
http://mural.maynoothuniversity.ie/4365/
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Physiological Noise in Near-infrared Spectroscopy: Implications for Optical Brain Computer Interfacing
(2004)
Coyle, S; Ward, Tomas E.; Markham, Charles
Physiological Noise in Near-infrared Spectroscopy: Implications for Optical Brain Computer Interfacing
(2004)
Coyle, S; Ward, Tomas E.; Markham, Charles
Abstract:
Near-infrared spectroscopy is a non-invasive optical method used to detect functional activation of the cerebral cortex. Cognitive, visual, auditory and motor tasks are among the functions that have been investigated by this technique in the context of optical brain computer interfacing. In order to determine whether the optical response is due to a stimulus, it is essential to identify and reduce the effects of physiological noise. This paper characterizes noise typically present in optical responses and reports signal processing approaches used to overcome such noise.
http://mural.maynoothuniversity.ie/2785/
Displaying Results 1 - 2 of 2 on page 1 of 1
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