Publications citing EEG During Mental Arithmetic Tasks v1.0.0

Is the Spatial Structure as Important as Temporal Structure in EEG Signals?
Aryan Kashyap Naveen, Gopika Gopan K, Neelam Sinha. Indian Conference on Computer Vision, Graphics and Image Processing, 2025. Cites: paper

Identifying Psychological Stress States Using Markov Transition Fields Based on the Frequency Domain of Single-Channel EEG Signals
Xiao Liang, Xinpei Wang. International Conference on Systems and Informatics (ICSAI), 2025. Cites: paper

Psychological Stress Classification Based on Coupled Analysis of ECG and EEG Signals
Mingkang Wang, Xinpei Wang, Peilu Cong et al. International Conference on Systems and Informatics (ICSAI), 2025. Cites: paper

Neurofusion: A Task-Aware EEG Foundation Model with Adaptive Frequency and Spatial Self-Supervised Learning
Zhige Chen, Szu Chi Chiu, Yi Zhang et al. International Conference on Computational Intelligence and Security (CIS), 2025. Cites: paper

Attention-guided deep learning–machine learning and statistical feature fusion for interpretable mental workload classification from EEG
Sukanta Majumder, Dibyendu Patra, Subhajit Gorai et al. Cognitive Neurodynamics, 2025. Cites: paper

Brain-inspired signal processing for detecting stress during mental arithmetic tasks
Kais Belwafi, Ahmed Alsuwaidi, Sami Mejri et al. Brain Informatics, 2025. Cites: paper

Identifying brain activation regions and functional connectivity changes in stroke rehabilitation using fNIRS
Ting Wang, Jinxiao Dai, Jianpeng Tang et al. Biomedical Signal Processing and Control, 2025. Cites: paper

An Overview of Stress Analysis Based on Physiological Signals: Systematic Review of Open Datasets and Current Trends
Chariklia Chatzaki, Manolis Tsiknakis. Sensors, 2025. Cites: paper

Cross-Subject Cognitive State Assessment for Unmanned System Operators Based on Brain Functional Connectivity
Jun Chen, Fanzhou Zhao, Xinyu Zhang et al. Drones, 2025. Cites: paper

PAX-Fuse: Spatiotemporal Patch Graph and Lightweight Temporal Branch for EEG-Based Cognitive State Decoding
Xinying Wu, Qin Yang, Shaojun Cai et al. International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI), 2025. Cites: paper

Stress detection via EEG signals using Henry gas solubility optimization feature selection
Jammisetty Yedukondalu, G. Sai Sravanthi, Karumuri Srinivasa Rao et al. Cluster Computing, 2025. Cites: paper

Análise de Sinais de Eletroencefalograma para Medição de Atenção em um Ambiente Musical Imersivo Multissensorial
Carla Estefany Caetano Silva, Rômulo Vieira, Daniela Gorski Trevisan et al. Brazilian Symposium on Multimedia and the Web, 2025. Cites: paper

Assessing Cognitive Load Levels via TAR-Based EEG Analysis and Machine Learning Models
Md Riyaz Ansari, Supreeti Kamilya, Shamama Anwar. IEEE Silchar Subsection Conference (SILCON), 2025. Cites: paper

Can You Feel My Brain? Investigating Attentional Engagement through EEG in an Immersive Musical Environment
Rômulo Vieira, Carla Estefany Caetano Silva, Daniela Gorski Trevisan et al. IEEE International Symposium on the Internet of Sounds (IS2), 2025. Cites: paper

Analysis of Frequency Specific Power Modulation and Functional Connectivity During Mental Arithmetic with Coherence and LORETA Using EEG
Hephzibah Khakha, Bikesh Kumar Singh, Shivangi Giri. International Conference on Electronic Circuits and Signaling Technologies (ICECST), 2025. Cites: paper

Automated recognition of mental cognitive workload through electroencephalography and a deep learning approach
Ali Khaleghi, Shahab Alaedin Baloochi, Hamid Majidi et al. Computer Methods in Biomechanics & Biomedical Engineering, 2025. Cites: paper

Proposition of a Dataset Augmentation Method for EEG Signals Evaluated by the Application of Deep Learning-Based Predictive Classification Tasks
Maria Fernanda O. de Figueiredo, Marcella Scoczynski Ribeiro Martins. IEEE International Conference on Industry Applications, 2025. Cites: paper

ST-CoG-XAI: A Spectrotemporal Contrastive Generation Foundation Model for Explainable EEG Decoding
Jiaqi Ding, He Wang, Changsheng Wu et al. IEEE Journal on Flexible Electronics, 2025. Cites: paper

Improving Brain State Classification using Physics-Informed Convolutional Neural Networks
Sathvik Surapaneni, Srihan Sankepalle, Rahul Ghanta. IEEE MIT Undergraduate Research Technology Conference (URTC), 2025. Cites: paper

Deep Fusion of VGG19 and ConvMixer With Superlet Transform for Cognitive Load Detection
Jammisetty Yedukondalu, M. Ramesh, Janardhan Naulegari et al. IEEE Transactions on Consumer Electronics, 2025. Cites: paper

SLTrans: a sequential learning transformer for extracting spatial–temporal features from EEG signals
Manasa Gunda, Krashana D. Nirde, Suhas S. Gajre et al. Neural Computing and Applications, 2025. Cites: paper

Hybrid CNN–LSTM Framework with Signal Filtering for EEG-Based Stress Classification on the Neurocom EEGMAT Dataset
Amol Chaudhari, Hemang Shrivastava. World Conference on Cutting-Edge Science and Technology (WCCEST), 2025. Cites: paper

Scoping Review of ML Approaches in Anxiety Detection from In-Lab to In-the-Wild
Maxine He, Abdulrahman Alkurdi, Jean L. Clore et al. Applied Sciences, 2025. Cites: paper

Reliable decision making on clinical EEG: Trusted multi-view learning with subjective logic for uncertainty quantification
Yiping Zuo, Yaodong Wang, Dan Chen et al. Expert Systems with Applications, 2025. Cites: paper

Investigating Complex Dynamics in Eye-Aspect-Ratio of Expert Tetris Players Using Recurrence Quantification Analysis
Gianluca Guglielmo, Michał Klincewicz, Pieter H.M. Spronck. IEEE Conference on Games (CoG), 2025. Cites: paper

Efficient Unsupervised Domain Adaptation Regression for Spatial–Temporal Sensor Fusion
Keivan Faghih Niresi, Ismail Nejjar, Olga Fink. IEEE Internet of Things Journal, 2025. Cites: paper

EEGMeNet: End-to-End Multitask Neural Network for Brain-Based Mental Workload Classification
Supavit Kongwudhikunakorn, Wuttikorn Ponwitayarat, Suktipol Kiatthaveephong et al. IEEE Internet of Things Journal, 2025. Cites: paper

Evaluation of EEG Channels Related to Cognitive Tasks: Concentration and Relaxation Using Complex Morlet CWT and Pearson Correlation
Pham Phuc Ngoc, Nguyen Thi Diem Anh, Vu Hoang Quy. International Conference on Health Science and Technology (ICHST), 2025. Cites: paper

Machine Learning-Based Classification of EEG Signals for Differentiating Between Stress and Relaxation States
Vu Duy Hai, Tran Bao Tram, Pham Thi Hong Tham et al. International Conference on Health Science and Technology (ICHST), 2025. Cites: paper

EEG spectral power correlates across cognitive tasks: Implications for VR, UXA, and Ergonomics
Ángel David Blanco, Karan Chugani, Claire Braboszcz et al. Biological Psychology, 2025. Cites: paper

Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks
Aaditya Joshi, Paramveer Singh Matharu, Lokesh Malviya et al. Scientific Reports, 2025. Cites: dataset, paper

Defining Functional Brain-Heart Interplay Synergies: A Feasibility Study
Vincenzo Catrambone, Gaetano Valenza. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Mental workload recognition from EEG signals via semi-supervised autoencoders
Qi Liu, Xu Jiang, Huanjie Wang et al. Computer Methods in Biomechanics & Biomedical Engineering, 2025. Cites: paper

Narrowband Theta Investigations for Detecting Cognitive Mental Load
Silviu Ioniță, Daniela Andreea Coman. Sensors, 2025. Cites: paper

Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation
Sreejith Chandrasekharan, Jisu Elsa Jacob. Frontiers in Neuroinformatics, 2025. Cites: paper

Cognitive load detection using adaptive/fixed-frequency empirical wavelet transform and multi-domain feature optimization
Jammisetty Yedukondalu, Lakhan Dev Sharma, Abhijit Bhattacharyya. Biomedical Signal Processing and Control, 2025. Cites: paper

Análise de Sinais Cerebrais para Detecção de Níveis de Atenção em Jogos Digitais
Carla Estefany Caetano Silva, Daniela Gorski Trevisan, Débora C. Muchaluat-Saade. 2025. Cites: paper

Decoding EEG-based cognitive load using fusion of temporal and functional connectivity features
Jiaguan Han, Gege Zhan, Lu Wang et al. Computer Methods in Biomechanics & Biomedical Engineering, 2025. Cites: paper

Towards Portable Mental Stress Detection Systems: A TinyML Approach for EEG Analysis
Jyotiska Bharadwaj, Divyashikha Sethia. International Conference on Intelligent Computing and Knowledge Extraction (ICICKE), 2025. Cites: paper

Detection of cognitive load using EEG signal and lifting wavelet transform with specific lead selection
Himanshu Chhabra, Diksha Sharma, Urvashi Chauhan et al. Biomedical Physics & Engineering Express, 2025. Cites: paper

Cognitive Lab: A dataset of biosignals and HCI features for cognitive process investigation
Inês Silveira, Rui Sousa Pedro Varandas, Hugo Filipe Silveira Gamboa. Computer Methods and Programs in Biomedicine, 2025. Cites: paper

A Study of Robust Partial Correlation between Electroencephalogram Connectivity and Human Arithmetic Abilities
Anastasiia Timofeeva, Tatiana Vladimirovna Avdeenko, Sergei Sergeevich Alkov. Pattern Recognition and Image Analysis, 2025. Cites: paper

Region-Focused CNN with Dynamic Adaptive Graph Attention Network for stereogram evoked EEG recognition
Xu Yan, Tingting Zhang, Yi Le et al. Expert Systems with Applications, 2025. Cites: paper

An explainable EEG epilepsy detection model using friend pattern
Türker Tuncer, Şengül Doğan. Scientific Reports, 2025. Cites: paper

Spectral Norm of Exponentially Weighted Moving Sample Covariance Matrix and Its Application to Sequential Sparse Signal Detection
Yanhong Wu, Wei Biao Wu, Dong‐Yun Kim. Journal of Statistical Theory and Practice, 2025. Cites: paper

A Hypernetwork-Based Feature Selection Method for EEG Classification
Dunmin Chen, Yu Tang, Zhiping Tan. International Journal of Cognitive Informatics and Natural Intelligence, 2025. Cites: paper

Cognitive Workload Detection via Binary Chimp Optimization Algorithm and Machine Learning
Ch Kantharao Sarihaddu, Arun Raaza, Sandesh Akre. Arabian Journal for Science and Engineering, 2025. Cites: paper

Electroencephalograph (EEG) based classification of mental arithmetic using explainable machine learning
Murtaza Aslam, Fozia Rajbdad, Shoaib Azmat et al. Journal of Applied Biomedicine, 2025. Cites: paper

A Machine Learning Approach in EEG-Based Assessment of Cognitive Load by Mental Arithmetic Tasks
Phuc Nguyen, Quang Linh Huynh. Journal of Physics Conference Series, 2025. Cites: paper

Visualizing brain signals in mental calculation by using Electroencephalography Topographic Map Animation with Independent component analysis perspectives
Nghiem Nguyen Ngoc, Cong Danh Nguyen, Toan Vo Duc. Journal of Physics Conference Series, 2025. Cites: paper

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