Single-trial NIRS data classification for brain–computer interfaces using graph signal processing

PC Petrantonakis, I Kompatsiaris - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Near-infrared spectroscopy (NIRS)-based brain-computer interface (BCI) systems use
feature extraction methods relying mainly on the slope characteristics and mean changes of …

Functional near-infrared spectroscopy based discrimination of mental counting and no-control state for development of a brain-computer interface

N Naseer, KS Hong - … Conference of the IEEE Engineering in …, 2013 - ieeexplore.ieee.org
In this paper we propose to apply functional near-infrared spectroscopy (fNIRS) to measure
the brain activity during mental counting and discriminate it from the no-control (rest) state …

Brain-computer interface using deep neural network and its application to mobile robot control

G Huve, K Takahashi… - 2018 IEEE 15th …, 2018 - ieeexplore.ieee.org
Functional near-infrared spectroscopic (fNIRS) systems have recently attracted considerable
attention for their potential in the domain of brain-computer interfaces (BCIs). This study …

Classification of frontal cortex haemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms

B Abibullaev, J An - Medical engineering & physics, 2012 - Elsevier
Recent advances in neuroimaging demonstrate the potential of functional near-infrared
spectroscopy (fNIRS) for use in brain–computer interfaces (BCIs). fNIRS uses light in the …

Brain–computer interfacing using functional near-infrared spectroscopy (fNIRS)

K Paulmurugan, V Vijayaragavan, S Ghosh… - Biosensors, 2021 - mdpi.com
Functional Near-Infrared Spectroscopy (fNIRS) is a wearable optical spectroscopy system
originally developed for continuous and non-invasive monitoring of brain function by …

A haemodynamic brain–computer interface based on real-time classification of near infrared spectroscopy signals during motor imagery and mental arithmetic

M Stangl, G Bauernfeind, J Kurzmann… - Journal of near …, 2013 - opg.optica.org
Over the past decade, an increasing number of studies have investigated near infrared (NIR)
spectroscopy for signal acquisition in brain–computer interface (BCI) systems. However …

Correlates of near-infrared spectroscopy brain–computer interface accuracy in a multi-class personalization framework

S Weyand, T Chau - Frontiers in human neuroscience, 2015 - frontiersin.org
Brain–computer interfaces (BCIs) provide individuals with a means of interacting with a
computer using only neural activity. To date, the majority of near-infrared spectroscopy …

A Multichannel fNIRS System for Prefrontal Mental Task Classification with Dual‐level Excitation and Deep Forest Algorithm

C Chen, Y Wen, S Cui, X Qi, Z Liu, L Zhou… - Journal of …, 2020 - Wiley Online Library
This paper presents a multichannel functional continuous‐wave near‐infrared spectroscopy
(fNIRS) system, which collects data under a dual‐level light intensity mode to optimize SNR …

It takes two (seconds): decreasing encoding time for two-choice functional near-infrared spectroscopy brain–computer interface communication

A Vorreuther, L Bastian, A Benitez Andonegui… - …, 2023 - spiedigitallibrary.org
Significance Brain–computer interfaces (BCIs) can provide severely motor-impaired patients
with a motor-independent communication channel. Functional near-infrared spectroscopy …

Investigation of different approaches for noise reduction in functional near-infrared spectroscopy signals for brain–computer interface applications

A Janani, M Sasikala - Neural Computing and Applications, 2017 - Springer
Functional near-infrared spectroscopy (fNIRS) is a noninvasive technique to measure the
hemodynamic response from the cerebral cortex. The acquired fNIRS signal usually …