Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks
Authors
Keywords
-
Journal
SENSORS
Volume 22, Issue 5, Pages 1932
Publisher
MDPI AG
Online
2022-03-02
DOI
10.3390/s22051932
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started