Journal Article


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



humans physiology signal processing computer assisted equipment failure analysis software design electroencephalography equipment design software brain mapping brain user computer interface reproducibility of results sensitivity and specificity instrumentation

Software platform for rapid prototyping of NIRS brain computer interfacing techniques. (2008)

Abstract This paper describes the control system of a next-generation optical brain-computer interface (BCI). Using functional near-infrared spectroscopy (fNIRS) as a BCI modality is a relatively new concept, and research has only begun to explore approaches for its implementation. It is necessary to have a system by which it is possible to investigate the signal processing and classification techniques available in the BCI community. Most importantly, these techniques must be easily testable in real-time applications. The system we describe was built using LABVIEW, a graphical programming language designed for interaction with National Instruments hardware. This platform allows complete configurability from hardware control and regulation, testing and filtering in a graphical interface environment.
Collections Ireland -> Maynooth University -> PubMed

Full list of authors on original publication

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

Experts in our system

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