Journal Article


Charles Markham
Christopher Soraghan
Tomas E. Ward
Barak A. Pearlmutter
Fiachra Matthews


Computer Science

signals hemodynamics optical instrumentation computer science signal processing brain computer interface brain computer interfaces

Hemodynamics for brain-computer interfaces: optical correlates of control signals (2008)

Abstract This article brings together the various elements that constitute the signal processing challenges presented by a hemodynamics-driven functional near-infrared spectroscopy (fNIRS) based brain-computer interface (BCI). We discuss the use of optically derived measures of cortical hemodynamics as control signals for next generation BCIs. To this end we present a suitable introduction to the underlying measurement principle, we describe appropriate instrumentation and highlight how and where performance improvements can be made to current and future embodiments of such devices. Key design elements of a simple fNIRS-BCI system are highlighted while in the process identifying signal processing problems requiring improved solutions and suggesting methods by which this might be accomplished.
Collections Ireland -> Maynooth University -> Subject = Science & Engineering: Computer Science
Ireland -> Maynooth University -> Subject = Science & Engineering
Ireland -> Maynooth University -> Type = Article
Ireland -> Maynooth University -> Academic Unit = Faculty of Science and Engineering
Ireland -> Maynooth University -> Status = Published
Ireland -> Maynooth University -> Open Access DRIVERset
Ireland -> Maynooth University -> Academic Unit = Faculty of Science and Engineering: Computer Science

Full list of authors on original publication

Charles Markham, Christopher Soraghan, Tomas E. Ward, Barak A. Pearlmutter, Fiachra Matthews

Experts in our system

Charles Markham
Maynooth University
Total Publications: 64
Tomas Ward
Maynooth University
Total Publications: 189
Barak A. Pearlmutter
Maynooth University
Total Publications: 133