Mental stress assessment using simultaneous measurement of EEG and fNIRS
Previous studies reported mental stress as one of the major contributing factors leading to
various diseases such as heart attack, depression and stroke. An accurate stress …
various diseases such as heart attack, depression and stroke. An accurate stress …
Open access dataset for EEG+ NIRS single-trial classification
We provide an open access dataset for hybrid brain-computer interfaces (BCIs) using
electroencephalography (EEG) and near-infrared spectroscopy (NIRS). For this, we …
electroencephalography (EEG) and near-infrared spectroscopy (NIRS). For this, we …
Neurofeedback therapy for enhancing visual attention: state-of-the-art and challenges
M Ordikhani-Seyedlar, MA Lebedev… - Frontiers in …, 2016 - frontiersin.org
We have witnessed a rapid development of brain-computer interfaces (BCIs) linking the
brain to external devices. BCIs can be utilized to treat neurological conditions and even to …
brain to external devices. BCIs can be utilized to treat neurological conditions and even to …
Determining optimal feature-combination for LDA classification of functional near-infrared spectroscopy signals in brain-computer interface application
In this study, we determine the optimal feature-combination for classification of functional
near-infrared spectroscopy (fNIRS) signals with the best accuracies for development of a two …
near-infrared spectroscopy (fNIRS) signals with the best accuracies for development of a two …
Reduction of delay in detecting initial dips from functional near-infrared spectroscopy signals using vector-based phase analysis
In this paper, we present a systematic method to reduce the time lag in detecting initial dips
using a vector-based phase diagram and an autoregressive moving average with …
using a vector-based phase diagram and an autoregressive moving average with …
Near-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic
We propose a near-infrared spectroscopy (NIRS)-based brain-computer interface (BCI) that
can be operated in eyes-closed (EC) state. To evaluate the feasibility of NIRS-based EC …
can be operated in eyes-closed (EC) state. To evaluate the feasibility of NIRS-based EC …
Disparity in frontal lobe connectivity on a complex bimanual motor task aids in classification of operator skill level
Objective metrics of technical performance (eg, dexterity, time, and path length) are
insufficient to fully characterize operator skill level, which may be encoded deep within …
insufficient to fully characterize operator skill level, which may be encoded deep within …
Hybrid EEG-NIRS based active command generation for quadcopter movement control
In this study, we have generated four active commands using hybrid
electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) for …
electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) for …
Initial dip detection based on both HbO and HbR vector-based phase analysis
A new threshold circle to minimize possible misclassification of initial dips in the functional
near-infrared spectroscopy (fNIRS) signals using the vector-based phase analysis is …
near-infrared spectroscopy (fNIRS) signals using the vector-based phase analysis is …
An online three-class Transcranial Doppler ultrasound brain computer interface
A Goyal, AA Samadani, AM Guerguerian… - Neuroscience Research, 2016 - Elsevier
Brain computer interfaces (BCI) can provide communication opportunities for individuals
with severe motor disabilities. Transcranial Doppler ultrasound (TCD) measures cerebral …
with severe motor disabilities. Transcranial Doppler ultrasound (TCD) measures cerebral …