F
Fiachra Matthews
Researcher at Maynooth University
Publications - 8
Citations - 257
Fiachra Matthews is an academic researcher from Maynooth University. The author has contributed to research in topics: Interface (computing) & Brain–computer interface. The author has an hindex of 6, co-authored 8 publications receiving 243 citations.
Papers
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Journal ArticleDOI
Hemodynamics for Brain-Computer Interfaces
TL;DR: 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).
Proceedings ArticleDOI
A 12-Channel, real-time near-infrared spectroscopy instrument for brain-computer interface applications
C. Soraghan,Fiachra Matthews,Charles Markham,Barak A. Pearlmutter,Raymond O'neill,Tomas E. Ward +5 more
TL;DR: A continuous wave near-infrared spectroscopy (NIRS) instrument for brain-computer interface (BCI) applications is presented and the ability of the system to report on haemodynamics during single trial mental arithmetic tasks is demonstrated.
Journal ArticleDOI
A concept for extending the applicability of constraint-induced movement therapy through motor cortex activity feedback using a neural prosthesis
TL;DR: It is proposed in this paper that it is possible to provide feedback of the motor cortex effort to the patient by measurement with near infrared spectroscopy (NIRS) and significant changes in such effort may be used to drive rehabilitative robotic actuators, for example.
Hemodynamics for brain-computer interfaces: optical correlates of control signals
TL;DR: 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) and presents a suitable introduction to the underlying measurement principle.
Proceedings ArticleDOI
Optical safety assessment of a near-infrared brain-computer interface
TL;DR: In this paper, a safety assessment of near-infrared sources used in an optical brain-computer interface (BCI) is presented, which includes dual wavelength light emitting diodes (LED) at 760 nm and 880 nm.