On the suitability of near-infrared (NIR) systems for next-generation brain-computer interfaces.

By Shirley Coyle, Tomás Ward, Charles Markham, G. McDarby. Physiological Measurement, 2004

394 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/ac3c6be5a739ab53663ab984775e547054027a4c

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

fNIRS-based brain-computer interfaces: a review (2015, background): “The ﬁrst study who demonstrated the feasibility of fNIRS for BCI was Coyle et al. (2004).”
Breaking the silence: brain-computer interfaces (BCI) for communication and motor control. (2006, background): “light in living tissues with high circulation density such as the brain, NIRS is completely noninvasive (Coyle et al., 2004).”
An MEG-based brain-computer interface (BCI) (2007, background): “, 2003) or near infrared spectroscopy (NIRS) (Coyle et al., 2004).”
A quantitative comparison of NIRS and fMRI across multiple cognitive tasks (2010, neutral): “NIRS can be very portable (Atsumori et al., 2009) and has been proposed as a useful technology for non-invasive brain–computer interfaces (Power et al., 2010; Coyle et al., 2004, 2007; Sitaram et al., 2007; Utsugi et al., 2008).”
Brain Computer Interfaces, a Review (2012, background): “Although NIRS is relatively new measurement modality, NIRS promises to be a potent neuroimaging modality for future applicability to BCIs [91,97].”
Brain–computer interface using a simplified functional near-infrared spectroscopy system (2007, methodology): “The suitability of our approach is demonstrated through the assessment of NIRS signal characteristics and detectable physiological effects that are suitable for BCI development [11, 12].”
NIRS-Based Hyperscanning Reveals Increased Interpersonal Coherence in Superior Frontal Cortex during Cooperation (2011, neutral): “, 2003), non-invasive brain-computer interfaces (Coyle et al., 2004; 2007; Power et al., 2010; Sitaram et al., 2007; Utsugi et al., 2008), and brain activity in both active tasks and resting states (Boecker et al.”
Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects (2009, background): “In recent years, there has been growing interest in BCIs based on metabolic signals derived from the brain [57-69].”
Wavelet-based motion artifact removal for functional near-infrared spectroscopy (2012, background): “…Engineering in Medicine Printed in the UK & the USA 259 past two decades and has found many new applications such as monitoring muscle or brain oxygenation (Ferrari et al 1997), brain–computer interface (Arenth et al 2007), rehabilitation (Coyle et al 2004) and cancer detection (Choe et al 2005).”