- Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset
Jaeyoung Shin, Alexander von Lühmann, Do-Won Kim, Jan Mehnert, Han-Jeong Hwang, Klaus‐Robert Müller · 2018 · Scientific Data
Cites data paper 207 citations
- Deep learning for hybrid EEG-fNIRS brain–computer interface: application to motor imagery classification
Antonio Maria Chiarelli, Pierpaolo Croce, Arcangelo Merla, Filippo Zappasodi · 2018 · Journal of Neural Engineering
Cites data paper 195 citations
- STEW: Simultaneous Task EEG Workload Data Set
Wei Lun Lim, Olga Sourina, Lipo Wang · 2018 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cites data paper 192 citations
- MOABB: trustworthy algorithm benchmarking for BCIs
Vinay Jayaram, Alexandre Barachant · 2018 · Journal of Neural Engineering
Cites data paper 173 citations
- The KIMORE Dataset: KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical REhabilitation
Marianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, Sabrina Iarlori, Andrea Monteriù, Luca Romeo, Federica Verdini · 2019 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cites data paper 150 citations
- Transformer Model for Functional Near-Infrared Spectroscopy Classification
Zenghui Wang, Jun Zhang, Xiaochu Zhang, Peng Chen, Bing Wang · 2022 · IEEE Journal of Biomedical and Health Informatics
Cites data paper 106 citations
- FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces
Youngchul Kwak, Woo‐Jin Song, Seong‐Eun Kim · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cites data paper 94 citations
- A Ternary Hybrid EEG-NIRS Brain-Computer Interface for the Classification of Brain Activation Patterns during Mental Arithmetic, Motor Imagery, and Idle State
Jaeyoung Shin, Jinuk Kwon, Chang‐Hwan Im · 2018 · Frontiers in Neuroinformatics
Cites data paper 94 citations
- Open-Access fNIRS Dataset for Classification of Unilateral Finger- and Foot-Tapping
SuJin Bak, Jinwoo Park, Jaeyoung Shin, Jichai Jeong · 2019 · Electronics
Cites data paper 75 citations
- A Novel Multimodal Approach for Hybrid Brain–Computer Interface
Zhe Sun, Zihao Huang, Feng Duan, Yu Liu · 2020 · IEEE Access
Cites data paper 69 citations
- An EEG motor imagery dataset for brain computer interface in acute stroke patients
Haijie Liu, Penghu Wei, Haochong Wang, Xiaodong Lv, Wei Duan, Meijie Li, Yan Zhao, Qingmei Wang, Xinyuan Chen, Gaige Shi, Bo Han, Junwei Hao · 2024 · Scientific Data
Cites data paper 65 citations
- A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy
Alexander von Lühmann, Zois Boukouvalas, Klaus‐Robert Müller, Tülay Adalı · 2019 · NeuroImage
Cites data paper 64 citations
- Cognitive workload estimation using physiological measures: a review
Debashis Das Chakladar, Partha Pratim Roy · 2023 · Cognitive Neurodynamics
Cites data paper 62 citations
- Performance enhancement of a brain-computer interface using high-density multi-distance NIRS
Jaeyoung Shin, Jinuk Kwon, JongKwan Choi, Chang‐Hwan Im · 2017 · Scientific Reports
Cites data paper 60 citations
- Multimodal Multitask Neural Network for Motor Imagery Classification With EEG and fNIRS Signals
Qun He, Lufeng Feng, Guoqian Jiang, Ping Xie · 2022 · IEEE Sensors Journal
Cites data paper 56 citations
- Enhanced Performance of a Brain Switch by Simultaneous Use of EEG and NIRS Data for Asynchronous Brain-Computer Interface
Chang Hee Han, Klaus‐Robert Müller, Han-Jeong Hwang · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cites data paper 55 citations
- Brain-Switches for Asynchronous Brain–Computer Interfaces: A Systematic Review
Chang Hee Han, Klaus‐Robert Müller, Han-Jeong Hwang · 2020 · Electronics
Cites data paper 55 citations
- Assessing Time-Resolved fNIRS for Brain-Computer Interface Applications of Mental Communication
Androu Abdalmalak, Daniel Milej, Lawrence C. M. Yip, Ali R. Khan, Mamadou Diop, Adrian M. Owen, Keith St. Lawrence · 2020 · Frontiers in Neuroscience
Cites data paper 54 citations
- Toward a compact hybrid brain-computer interface (BCI): Performance evaluation of multi-class hybrid EEG-fNIRS BCIs with limited number of channels
Jinuk Kwon, Jaeyoung Shin, Chang‐Hwan Im · 2020 · PLoS ONE
Cites data paper 53 citations
- fNIRS-EEG BCIs for Motor Rehabilitation: A Review
Jianan Chen, Yunjia Xia, Xinkai Zhou, Ernesto E. Vidal-Rosas, Alexander Thomas, Rui Loureiro, Robert J. Cooper, Tom Carlson, Hubin Zhao · 2023 · Bioengineering
Cites data paper 51 citations
- Subject-Specific feature selection for near infrared spectroscopy based brain-computer interfaces
Eda Akman Aydın · 2020 · Computer Methods and Programs in Biomedicine
Cites data paper 50 citations
- Conditional-GAN Based Data Augmentation for Deep Learning Task Classifier Improvement Using fNIRS Data
Sajila Wickramaratne, Md Shaad Mahmud · 2021 · Frontiers in Big Data
Cites data paper 48 citations
- Real time detection of cognitive load using fNIRS: A deep learning approach
Subashis Karmakar, Supreeti Kamilya, Prasenjit Dey, Parag Kumar Guhathakurta, Mamata Dalui, Tushar Kanti Bera, Suman Halder, Chiranjib Koley, Tandra Pal, Anupam Basu · 2022 · Biomedical Signal Processing and Control
Cites data paper 48 citations
- Rethinking Delayed Hemodynamic Responses for fNIRS Classification
Zenghui Wang, Jihong Fang, Jun Zhang · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cites data paper 47 citations
- REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
Yassine El Ouahidi, Jonathan Lys, Philipp Thölke, Nicolas Farrugia, B. Pasdeloup, Vincent Gripon, Karim Jerbi, Giulia Lioi · 2025 · ArXiv
Cites data paper 46 citations
- A novel classification framework using multiple bandwidth method with optimized CNN for brain–computer interfaces with EEG-fNIRS signals
Majid Nour, Şaban Öztürk, Kemal Polat · 2021 · Neural Computing and Applications
Cites data paper 45 citations
- Deep recurrent–convolutional neural network for classification of simultaneous EEG–fNIRS signals
Hamidreza Ghonchi, Mansoor Fateh, Vahid Abolghasemi, Saideh Ferdowsi, Mohsen Rezvani · 2020 · IET Signal Processing
Cites data paper 42 citations
- Early-stage fusion of EEG and fNIRS improves classification of motor imagery
Yang Li, Xin Zhang, Dong Ming · 2023 · Frontiers in Neuroscience
Cites data paper 42 citations
- Correlation-Filter-Based Channel and Feature Selection Framework for Hybrid EEG-fNIRS BCI Applications
Muhammad Umair Ali, Amad Zafar, Karam Dad Kallu, Haris Masood, Malik Muhammad Naeem Mannan, Malik Muhammad Ibrahim, Sangil Kim, Muhammad Attique Khan · 2023 · IEEE Journal of Biomedical and Health Informatics
Cites data paper 42 citations
- EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN
Aniqa Arif, Yihe Wang, Rui Yin, Xiang Zhang, Ahmed Helmy · 2024 · Sensors
Cites data paper 42 citations
- The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
Sylvain Chevallier, Igor Carrara, Bruno Aristimunha, Pierre Guetschel, Sara Sedlar, Bruna J. Lopes, Sébastien Velut, Salim Khazem, Thomas Moreau · 2024 · ArXiv
Cites data paper 42 citations
- Motor Imagery Decoding Enhancement Based on Hybrid EEG-fNIRS Signals
Tao Xu, Zhengkang Zhou, Yuliang Yang, Yu Li, Junhua Li, Anastasios Bezerianos, Hongtao Wang · 2023 · IEEE Access
Cites data paper 41 citations
- Independent Decision Path Fusion for Bimodal Asynchronous Brain–Computer Interface to Discriminate Multiclass Mental States
Xinyu Jiang, Xiao Gu, Ke Xu, Haoran Ren, Wei Chen · 2019 · IEEE Access
Cites data paper 40 citations
- Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score Method
Hammad Nazeer, Noman Naseer, Aakif Mehboob, Muhammad Jawad Khan, Rayyan Azam Khan, Umar Shahbaz Khan, Yasar Ayaz · 2020 · Sensors
Cites data paper 39 citations
- A robust and subject-specific sequential forward search method for effective channel selection in brain computer interfaces
Önder Aydemir, Ebru Ergün · 2018 · Journal of Neuroscience Methods
Cites data paper 38 citations
- Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model
Yunyuan Gao, Biao Jia, Michael Houston, Yingchun Zhang · 2023 · IEEE Transactions on Instrumentation and Measurement
Cites data paper 38 citations
- Improved classification performance of EEG-fNIRS multimodal brain-computer interface based on multi-domain features and multi-level progressive learning
Lina Qiu, Yongshi Zhong, Zhipeng He, Jiahui Pan · 2022 · Frontiers in Human Neuroscience
Cites data paper 37 citations
- Improving classification performance of four class FNIRS-BCI using Mel Frequency Cepstral Coefficients (MFCC)
Muhammad Saad Bin Abdul Ghaffar, Umar Shahbaz Khan, Javaid Iqbal, Nasir Rashid, Amir Hamza, Waqar S. Qureshi, Mohsin Islam Tiwana, Umer Izhar · 2020 · Infrared Physics & Technology
Cites data paper 37 citations
- Deep learning networks based decision fusion model of EEG and fNIRS for classification of cognitive tasks
Md. Hasin Raihan Rabbani, Sheikh Md. Rabiul Islam · 2023 · Cognitive Neurodynamics
Cites data paper 34 citations
- An end-to-end 3D convolutional neural network for decoding attentive mental state
Yangsong Zhang, Huan Cai, Li Nie, Peng Xu, Sirui Zhao, Cuntai Guan · 2021 · Neural Networks
Cites data paper 34 citations
- Combined real-time fMRI and real time fNIRS brain computer interface (BCI): Training of volitional wrist extension after stroke, a case series pilot study
Avi K. Matarasso, Jake D. Rieke, Keith D. White, M. Minhal Yusufali, Janis J. Daly · 2021 · PLoS ONE
Cites data paper 32 citations
- Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses
Jaeyoung Shin, Do-Won Kim, Klaus‐Robert Müller, Han-Jeong Hwang · 2018 · Sensors
Cites data paper 32 citations
- Feasibility of local interpretable model-agnostic explanations (LIME) algorithm as an effective and interpretable feature selection method: comparative fNIRS study
Jaeyoung Shin · 2023 · Biomedical Engineering Letters
Cites data paper 31 citations
- A multi-day and multi-band dataset for a steady-state visual-evoked potential–based brain-computer interface
Ga-Young Choi, Chang Hee Han, Young–Jin Jung, Han-Jeong Hwang · 2019 · GigaScience
Cites data paper 31 citations
- Cognitive Workload Estimation Using Variational Autoencoder and Attention-Based Deep Model
Debashis Das Chakladar, Sumalyo Datta, Partha Pratim Roy, Vinod A. Prasad · 2022 · IEEE Transactions on Cognitive and Developmental Systems
Cites data paper 30 citations
- Hybrid EEG-fNIRS decoding with dynamic graph convolutional-capsule networks for motor imagery/execution
Hongtao Wang, Zhizheng Yuan, Haiyan Zhang, Feng Wan, Yu Li, Tao Xu · 2025 · Biomedical Signal Processing and Control
Cites data paper 29 citations
- EEG-Based Cognitive State Classification and Analysis of Brain Dynamics Using Deep Ensemble Model and Graphical Brain Network
Debashis Das Chakladar, Partha Pratim Roy, Masakazu Iwamura · 2021 · IEEE Transactions on Cognitive and Developmental Systems
Cites data paper 28 citations
- A Hybrid GCN and Filter‐Based Framework for Channel and Feature Selection: An fNIRS‐BCI Study
Amad Zafar, Karam Dad Kallu, M. Atif Yaqub, Muhammad Umair Ali, Jong Hyuk Byun, Min Yoon, Kwang Su Kim · 2023 · International Journal of Intelligent Systems
Cites data paper 27 citations
- Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signals
Nursena Bayğın, Emrah Aydemir, Prabal Datta Barua, Mehmet Bayğın, Şengül Doğan, Türker Tuncer, Ru‐San Tan, U. Rajendra Acharya · 2023 · Expert Systems with Applications
Cites data paper 26 citations
- A General and Scalable Vision Framework for Functional Near-Infrared Spectroscopy Classification
Zenghui Wang, Jun Zhang, Yi Xia, Peng Chen, Bing Wang · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cites data paper 25 citations
- Review of public motor imagery and execution datasets in brain-computer interfaces
Daeun Gwon, Kyungho Won, Minseok Song, Chang S. Nam, Sung Chan Jun, Minkyu Ahn · 2023 · Frontiers in Human Neuroscience
Cites data paper 25 citations
- STA-Net: Spatial–temporal alignment network for hybrid EEG-fNIRS decoding
Mutian Liu, Banghua Yang, Lin Meng, Yonghuai Zhang, Shouwei Gao, Peng Zan, Xinxing Xia · 2025 · Information Fusion
Cites data paper 24 citations
- On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface
Soo-In Choi, Chang Hee Han, Ga-Young Choi, Jaeyoung Shin, Kwang Soup Song, Chang‐Hwan Im, Han-Jeong Hwang · 2018 · Sensors
Cites data paper 23 citations
- Ternary Near-Infrared Spectroscopy Brain-Computer Interface With Increased Information Transfer Rate Using Prefrontal Hemodynamic Changes During Mental Arithmetic, Breath-Holding, and Idle State
Jaeyoung Shin, Jinuk Kwon, JongKwan Choi, Chang‐Hwan Im · 2018 · IEEE Access
Cites data paper 23 citations
- Metaheuristic Optimization-Based Feature Selection for Imagery and Arithmetic Tasks: An fNIRS Study
Amad Zafar, Shaik Javeed Hussain, Muhammad Umair Ali, Seung Won Lee · 2023 · Sensors
Cites data paper 23 citations
- EEG-based motor imagery classification using digraph Fourier transforms and extreme learning machines
M. H. Annaby, M.H. Said, A.M. Eldeib, Muhammad A. Rushdi · 2021 · Biomedical Signal Processing and Control
Cites data paper 22 citations
- Tangent space spatial filters for interpretable and efficient Riemannian classification
Jiachen Xu, Moritz Grosse‐Wentrup, Vinay Jayaram · 2020 · Journal of Neural Engineering
Cites data paper 22 citations
- Explainable artificial intelligence model to predict brain states from fNIRS signals
Caleb Jones Shibu, Sujesh Sreedharan, KM Arun, Chandrasekharan Kesavadas, Ranganatha Sitaram · 2023 · Frontiers in Human Neuroscience
Cites data paper 22 citations
- Open Access Multimodal fNIRS Resting State Dataset With and Without Synthetic Hemodynamic Responses
Alexander von Lühmann, Xinge Li, Natalie Gilmore, David A. Boas, Meryem A. Yücel · 2020 · Frontiers in Neuroscience
Cites data paper 22 citations
- A new evolutionary preprocessing approach for classification of mental arithmetic based EEG signals
Ebru Ergün, Önder Aydemir · 2020 · Cognitive Neurodynamics
Cites data paper 22 citations
- Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS
Yu Li, Tao Xu, Junhua Li, Feng Wan, Hongtao Wang · 2024 · Brain-Apparatus Communication A Journal of Bacomics
Cites data paper 22 citations
- A Hybrid BCI Using Singular Value Decomposition Values of the Fast Walsh–Hadamard Transform Coefficients
Ebru Ergün, Önder Aydemir · 2020 · IEEE Transactions on Cognitive and Developmental Systems
Cites data paper 22 citations
- Multivariate Kalman filter regression of confounding physiological signals for real-time classification of fNIRS data
Antonio Ortega‐Martínez, Alexander von Lühmann, Parya Farzam, De’Ja Rogers, Emily M. Mugler, David A. Boas, Meryem A. Yücel · 2022 · Neurophotonics
Cites data paper 21 citations
- Comparing structure–function relationships in brain networks using EEG and fNIRS
Rosmary Blanco, Maria Giulia Preti, Cemal Koba, Dimitri Van De Ville, Alessandro Crimi · 2024 · Scientific Reports
Cites data paper 20 citations
- Mental Arithmetic Task Recognition Using Effective Connectivity and Hierarchical Feature Selection From EEG Signals
Arash Maghsoudi, Ahmad Shalbaf · 2021 · Basic and Clinical Neuroscience Journal
Cites data paper 20 citations
- Inter-Brain Synchrony Levels According to Task Execution Modes and Difficulty Levels: An fNIRS/GSR Study
Jinwoo Park, Jaeyoung Shin, Jichai Jeong · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cites data paper 20 citations
- Eyes-closed hybrid brain-computer interface employing frontal brain activation
Jaeyoung Shin, Klaus‐Robert Müller, Han-Jeong Hwang · 2018 · PLoS ONE
Cites data paper 20 citations
- E-FNet: A EEG-fNIRS dual-stream model for Brain–Computer Interfaces
B. X. Yu, Lei Cao, Jie Jia, Chunjiang Fan, Yilin Dong, Changming Zhu · 2024 · Biomedical Signal Processing and Control
Cites data paper 20 citations
- Investigating the interaction between EEG and fNIRS: A multimodal network analysis of brain connectivity
Rosmary Blanco, Cemal Koba, Alessandro Crimi · 2024 · Journal of Computational Science
Cites data paper 20 citations
- Multimodal motor imagery decoding method based on temporal spatial feature alignment and fusion
Yukun Zhang, Shuang Qiu, Huiguang He · 2023 · Journal of Neural Engineering
Cites data paper 19 citations
- An effective classification framework for brain-computer interface system design based on combining of fNIRS and EEG signals
Adi Alhudhaif · 2021 · PeerJ Computer Science
Cites data paper 19 citations
- fNIRS-based classification of mind-wandering with personalized window selection for multimodal learning interfaces
Ruixue Liu, Erin Walker, Leah Friedman, Catherine M. Arrington, Erin Solovey · 2020 · Journal on Multimodal User Interfaces
Cites data paper 19 citations
- Temporal attention fusion network with custom loss function for EEG–fNIRS classification
Chayut Bunterngchit, Jiaxing Wang, Jianqiang Su, Yihan Wang, Shi-Qi Liu, Zeng‐Guang Hou · 2024 · Journal of Neural Engineering
Cites data paper 19 citations
- Simultaneous EEG-fNIRS Data Classification Through Selective Channel Representation and Spectrogram Imaging
Chayut Bunterngchit, Jiaxing Wang, Zeng‐Guang Hou · 2024 · IEEE Journal of Translational Engineering in Health and Medicine
Cites data paper 18 citations
- Performance Investigation of Brain-Computer Interfaces that Combine EEG and fNIRS for Motor Imagery Tasks
Pooja Verma, Alexander Heilinger, Patrick Reitner, Johannes Grünwald, Christoph Guger, David W. Franklin · 2019 · n/a
Cites data paper 17 citations
- Decoding of Binary Mental Arithmetic Based Near-Infrared Spectroscopy Signals
Ebru Ergün, Önder Aydemir · 2018 · 2018 3rd International Conference on Computer Science and Engineering (UBMK)
Cites data paper 17 citations
- Hand Motor Imagery Classification Using Effective Connectivity and Hierarchical Machine Learning in EEG Signals
Arash Maghsoudi · 2022 · Journal of Biomedical Physics and Engineering
Cites data paper 17 citations
- Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interface Using Regularized Linear Discriminant Analysis Ensemble Classifier Based on Bootstrap Aggregating
Jaeyoung Shin, Chang‐Hwan Im · 2020 · Frontiers in Neuroscience
Cites data paper 16 citations
- EEG-Based Cognitive State Assessment Using Deep Ensemble Model and Filter Bank Common Spatial Pattern
Debashis Das Chakladar, Shubhashis Dey, Partha Pratim Roy, Masakazu Iwamura · 2021 · n/a
Cites data paper 16 citations
- CT-Net: an interpretable CNN-Transformer fusion network for fNIRS classification
Lingxiang Liao, Jingqing Lu, Lutao Wang, Yongqing Zhang, Dongrui Gao, Manqing Wang · 2024 · Medical & Biological Engineering & Computing
Cites data paper 15 citations
- Classification Algorithm for fNIRS-based Brain Signals Using Convolutional Neural Network with Spatiotemporal Feature Extraction Mechanism
Yuxin Qin, Baojiang Li, Wenlong Wang, Xingbin Shi, Peng Cheng, Yifan Lu · 2024 · Neuroscience
Cites data paper 15 citations
- Bimodal EEG-fNIRS in Neuroergonomics. Current Evidence and Prospects for Future Research
Nicolas Bourguignon, Salvatore Lo Bue, Carlos Guerrero-Mosquera, Guillermo Borragán · 2022 · Frontiers in Neuroergonomics
Cites data paper 14 citations
- Performance Prediction for a Near-Infrared Spectroscopy-Brain–Computer Interface Using Resting-State Functional Connectivity of the Prefrontal Cortex
Jaeyoung Shin, Chang‐Hwan Im · 2018 · International Journal of Neural Systems
Cites data paper 14 citations
- Aggregating intrinsic information to enhance BCI performance through federated learning
Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan · 2024 · Neural Networks
Cites data paper 14 citations
- Benchmarking framework for machine learning classification from fNIRS data
Johann Benerradi, Jérémie Clos, Aleksandra Landowska, Michel Valstar, Max L. Wilson · 2023 · Frontiers in Neuroergonomics
Cites data paper 13 citations
- Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware
Alexander von Lühmann, K. Müller · 2017 · n/a
Cites data paper 13 citations
- Motor Imagery Under Distraction— An Open Access BCI Dataset
Stephanie Brandl, Benjamin Blankertz · 2020 · Frontiers in Neuroscience
Cites data paper 12 citations
- fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification
Prashant Pandey, John McLinden, N. Rahimi, C. Kumar, Min Shao, Kevin Spencer, Sarah Ostadabbas, Yalda Shahriari · 2024 · Engineering Applications of Artificial Intelligence
Cites data paper 12 citations
- mBGT: Encoding Brain Signals With Multimodal Brain Graph Transformer
Ciyuan Peng, Tianqi Guo, C. Xie, Xiaomei Bai, Jingjing Zhou, Xiaohui Zhao, Estrid He, Feng Xia · 2025 · IEEE Transactions on Consumer Electronics
Cites data paper 11 citations
- Firefly Algorithm Based Feature Selection for EEG Signal Classification
Ebru Ergün, Önder Aydemir · 2020 · 2020 Medical Technologies Congress (TIPTEKNO)
Cites data paper 10 citations
- SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs
Yisheng Li, Yishan Wang, Baiying Lei, Shuqiang Wang · 2025 · IEEE Transactions on Medical Imaging
Cites data paper 10 citations
- EEG spectro-temporal amplitude modulation as a measurement of cortical hemodynamics: an EEG-fNIRS study
Lucas R. Trambaiolli, Raymundo Cassani, Tiago H. Falk · 2020 · n/a
Cites data paper 10 citations
- Classification of motor imaginary based Near-Infrared spectroscopy signals
Ebru Ergün, Önder Aydemir · 2018 · n/a
Cites data paper 10 citations
- Multimodal fNIRS–EEG sensor fusion: Review of data-driven methods and perspective for naturalistic brain imaging
Tomás Codina, Benjamin Blankertz, Alexander von Lühmann · 2025 · Imaging Neuroscience
Cites data paper 10 citations