Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
Brain–machine interfaces using functional near-infrared spectroscopy: a review
Functional near-infrared spectroscopy (fNIRS) is a noninvasive method for acquiring
hemodynamic signals from the brain with advantages of portability, affordability, low …
hemodynamic signals from the brain with advantages of portability, affordability, low …
[HTML][HTML] Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning
The Brain-computer interface (BCI) is used to enhance the human capabilities. The hybrid-
BCI (hBCI) is a novel concept for subtly hybridizing multiple monitoring schemes to …
BCI (hBCI) is a novel concept for subtly hybridizing multiple monitoring schemes to …
A ternary hybrid EEG-NIRS brain-computer interface for the classification of brain activation patterns during mental arithmetic, motor imagery, and idle state
The performance of a brain-computer interface (BCI) can be enhanced by simultaneously
using two or more modalities to record brain activity, which is generally referred to as a …
using two or more modalities to record brain activity, which is generally referred to as a …
Hybrid EEG-fNIRS brain computer interface based on common spatial pattern by using EEG-informed general linear model
Hybrid brain–computer interfaces (BCI) utilizing the high temporal resolution of
electroencephalography (EEG) and the high spatial resolution of functional near-infrared …
electroencephalography (EEG) and the high spatial resolution of functional near-infrared …
A Hybrid GCN and Filter‐Based Framework for Channel and Feature Selection: An fNIRS‐BCI Study
A Zafar, K Dad Kallu, M Atif Yaqub… - … Journal of Intelligent …, 2023 - Wiley Online Library
In this study, a channel and feature selection methodology is devised for brain‐computer
interface (BCI) applications using functional near‐infrared spectroscopy (fNIRS). A graph …
interface (BCI) applications using functional near‐infrared spectroscopy (fNIRS). A graph …
Enhancing communication for people in late-stage ALS using an fNIRS-based BCI system
SB Borgheai, J McLinden, AH Zisk… - … on Neural Systems …, 2020 - ieeexplore.ieee.org
Objective: Brain-computer interface (BCI) based communication remains a challenge for
people with later-stage amyotrophic lateral sclerosis (ALS) who lose all voluntary muscle …
people with later-stage amyotrophic lateral sclerosis (ALS) who lose all voluntary muscle …
A hybrid intelligence approach for sustainable service innovation of smart and connected product: A case study
Nowadays, smart and connected product (SCP) is gradually replacing the traditional
functional products, which has attracted widespread attention from the industry and …
functional products, which has attracted widespread attention from the industry and …
Metaheuristic optimization-based feature selection for imagery and arithmetic tasks: An fNIRS study
In recent decades, the brain–computer interface (BCI) has emerged as a leading area of
research. The feature selection is vital to reduce the dataset's dimensionality, increase the …
research. The feature selection is vital to reduce the dataset's dimensionality, increase the …
The oxygen saturation in the primary motor cortex during a single hand movement: functional near-infrared spectroscopy (fnirs) study
Functional near-infrared spectroscopy is a noninvasive optical imaging technique to register
brain activity. It utilizes near-infrared light to evaluate the oxygenated (HbO) and …
brain activity. It utilizes near-infrared light to evaluate the oxygenated (HbO) and …