Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks

Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review

(2021) Haroon Khan et al.   Frontiers in Human Neuroscience

Best practices for fNIRS publications

(2021) Meryem A. Yücel et al.   Neurophotonics

Subject-Independent Functional Near-Infrared Spectroscopy-Based Brain–Computer Interfaces Based on Convolutional Neural Networks

(2021) Jinuk Kwon et al.   Frontiers in Human Neuroscience

CNN-based classification of fNIRS signals in motor imagery BCI system

(2021) Tengfei Ma et al.   Journal of Neural Engineering

Functional magnetic resonance imaging (fMRI) in design studies: Methodological considerations, challenges, and recommendations

(2021) L. Hay et al.   Design Studies

Safety Protection Method of Rehabilitation Robot Based on fNIRS and RGB-D Information Fusion

(2021) Dong Li et al.   Journal of Shanghai Jiaotong University (Science)

Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application

(2020) Muhammad Ahmed Khan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Enhanced Accuracy for Multiclass Mental Workload Detection Using Long Short-Term Memory for Brain–Computer Interface

(2020) Umer Asgher et al.   Frontiers in Neuroscience

Investigation of deep convolutional neural network for classification of motor imagery fNIRS signals for BCI applications

(2020) Janani. A et al.   Biomedical Signal Processing and Control

Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score Method

(2020) Hammad Nazeer et al.   SENSORS

Current Status and Issues Regarding Pre-processing of fNIRS Neuroimaging Data: An Investigation of Diverse Signal Filtering Methods Within a General Linear Model Framework

(2019) Paola Pinti et al.   Frontiers in Human Neuroscience

Exploring brain functions in autism spectrum disorder: A systematic review on functional near-infrared spectroscopy (fNIRS) studies

(2019) Fen Zhang et al.   INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY

Deep learning for time series classification: a review

(2019) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Current State and Future Prospects of EEG and fNIRS in Robot-Assisted Gait Rehabilitation: A Brief Review

(2019) Alisa Berger et al.   Frontiers in Human Neuroscience

Overview: Types of Lower Limb Exoskeletons

(2019) Daniel S Pamungkas et al.   Electronics

Prediction of FMN Binding Sites in Electron Transport Chains Based on 2-D CNN and PSSM Profiles

(2019) Nguyen-Quoc-Khanh Le et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study

(2018) Chang-Hee Han et al.   Journal of NeuroEngineering and Rehabilitation

fNIRS-based Neurorobotic Interface for gait rehabilitation

(2018) Rayyan Azam Khan et al.   Journal of NeuroEngineering and Rehabilitation

Efficient kNN Classification With Different Numbers of Nearest Neighbors

(2018) Shichao Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

The present and future use of functional near-infrared spectroscopy (fNIRS) for cognitive neuroscience

(2018) Paola Pinti et al.   Annals of the New York Academy of Sciences

Optimal feature selection from fNIRS signals using genetic algorithms for BCI

(2017) Farzan Majeed Noori et al.   NEUROSCIENCE LETTERS

A brain-controlled lower-limb exoskeleton for human gait training

(2017) Dong Liu et al.   REVIEW OF SCIENTIFIC INSTRUMENTS

Deep Recurrent Neural Networks for Human Activity Recognition

(2017) Abdulmajid Murad et al.   SENSORS

Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain–Computer Interface Using Adaptive Estimation of General Linear Model Coefficients

(2017) Nauman Khalid Qureshi et al.   Frontiers in Neurorobotics

Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain–computer interface: three-class classification of rest, right-, and left-hand motor execution

(2017) Thanawin Trakoolwilaiwan et al.   Neurophotonics

A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke

(2016) Alexander Remsik et al.   Expert Review of Medical Devices

Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application

(2016) Noman Naseer et al.   Frontiers in Human Neuroscience

Reduction of Delay in Detecting Initial Dips from Functional Near-Infrared Spectroscopy Signals Using Vector-Based Phase Analysis

(2016) Keum-Shik Hong et al.   International Journal of Neural Systems

Commentary on the statistical properties of noise and its implication on general linear models in functional near-infrared spectroscopy

(2016) Theodore J. Huppert   Neurophotonics

fNIRS-based brain-computer interfaces: a review

(2015) Noman Naseer et al.   Frontiers in Human Neuroscience

Classification of prefrontal and motor cortex signals for three-class fNIRS–BCI

(2015) Keum-Shik Hong et al.   NEUROSCIENCE LETTERS

Noise reduction in functional near-infrared spectroscopy signals by independent component analysis

(2013) Hendrik Santosa et al.   REVIEW OF SCIENTIFIC INSTRUMENTS

Online binary decision decoding using functional near-infrared spectroscopy for the development of brain–computer interface

(2013) Noman Naseer et al.   EXPERIMENTAL BRAIN RESEARCH

Brain Computer Interfaces, a Review

(2012) Luis Fernando Nicolas-Alonso et al.   SENSORS

Functional imaging and related techniques: An introduction for rehabilitation researchers

(2010) Bruce Crosson et al.   JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT

Role of the prefrontal cortex in human balance control

(2008) Masahito Mihara et al.   NEUROIMAGE

NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy

(2008) J YE et al.   NEUROIMAGE

An auditory brain–computer interface (BCI)

(2007) Femke Nijboer et al.   JOURNAL OF NEUROSCIENCE METHODS