Publications citing EEG During Mental Arithmetic Tasks v1.0.0

Assessing the Effect on Cognitive Workload Index, EEG Band Ratios, and Band Frequencies Using Band Power and Implementing Machine Learning Classification
Manasa Gunda, Krashana D. Nirde, Suhas S. Gajre et al. Lecture notes in electrical engineering, 2023. Cites: paper

Attention and Classification of Arithmetic Operation Tasks by Using Machine Learning Algorithm
Krashana D. Nirde, Manasa Gunda, Ramchandra R. Manthalkar et al. Lecture notes in electrical engineering, 2023. Cites: paper

Cognitive Load Classification During Arithmetic Task Using Single Convolution Layer-Based 2D-CNN Model
Aman Anand Rai, Mitul Kumar Ahirwal. Lecture notes in electrical engineering, 2023. Cites: paper

Complex Brain–Heart Mapping in Mental and Physical Stress
Vincenzo Catrambone, Gaetano Valenza. IEEE Journal of Translational Engineering in Health and Medicine, 2023. Cites: paper

Human stress observation from brain signal using ensemble classifier
Sandhyalati Behera, Mihir Narayan Mohanty, L. Padma Suresh. AIP conference proceedings, 2023. Cites: paper

Integrating Local STDP and Global Backpropagation Learning Using Spike-Time and Spike-Rate Representations for Improved Classification of Spatiotemporal Data in the Neucube Brain Inspired Evolving Spiking Neural Network Architecture: A Case Study on EEG Brain Data
Xuanle Zhou, Maryam Doborjeh, Nikola Kirilov Kasabov et al. SSRN Electronic Journal, 2023. Cites: paper

Investigation and Prediction of Cognitive Load During Memory and Arithmetic Tasks
Patient Zihisire Muke, Adrianna Kozierkiewicz, Marcin Pietranik. Lecture notes in computer science, 2023. Cites: paper

Investigation of the Performance of fNIRS-based BCIs for Assistive Systems in the Presence of Acute Pain
Ashwini Subramanian, Foroogh Shamsi, Laleh Najafizadeh. Springer eBooks, 2023. Cites: paper

Topological EEG-Based Functional Connectivity Analysis for Mental Workload State Recognition
Yan Yan, Liang Ma, Yu-Shi Liu et al. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper

Using Statistical Properties and Random Forests, Classification Performance Model Evaluation for the Mental Arithmetic Task-Brain Computer Interface
A.Nirmala devi, R. Vidhya. International Conference on Recent Trends in Data Science and its Applications, 2023. Cites: paper

DSCNN-CAU: Deep-Learning-Based Mental Activity Classification for IoT Implementation Toward Portable BCI
Manali Saini, Udit Satija, Madhur Deo Upadhayay. IEEE Internet of Things Journal, 2022. Cites: paper

Features Selection for EEG During Mental Arithmetic Task – Brain-Computer Interface
Nirmala Devi A, R. Rathna. International Conference on Information Management & Machine Intelligence (ICIMMI), 2022. Cites: paper

The Effect of Active break on Autonomic Nervous Pattern Recognition of Learning States
Xiangyu Sun, feifei zhang, Manman Wang et al. Research Square, 2022. Cites: paper

Cognitive capability identification in performing mental tasks using EEG-based coherence
Sandeep Kumar, Shushobhan Shekhar, Prabhakar Agarwal. International Journal of Systems Assurance Engineering and Management, 2022. Cites: paper

EEG based mental task classification using arithmetic operations
Priyadarsini Samal, Mohammad Farukh Hashmi. IEEE International Symposium on Smart Electronic Systems (iSES), 2022. Cites: paper

Kolmogorov-Chaitin Algorithmic Complexity for EEG Analysis
Victor Iapăscurtă, Ion Fiodorov. International Conference on Electronics, Communications and Computing (IC|ECCO), 2022. Cites: paper

Cognitive load detection using Binary salp swarm algorithm for feature selection
Jammisetty Yedukondalu, Lakhan Dev Sharma. IEEE Conference on Information and Communication Technology (CICT), 2022. Cites: paper

Design of Wearable Vest for Detection and Mitigation of Seizure
Karan Sundaram, Advait Shah, G Maithreyan et al. RSI International Conference on Robotics and Mechatronics (ICRoM), 2022. Cites: paper

Statistical Representation of Emotions for Puzzle Workload using Electroencephalogram and Heart Rate Variability
Tomohiko Igasaki, Aoi Takahi, Saori Nishikawa. Biomedical Engineering International Conference, 2022. Cites: paper

Building Networks with a New Cross-Bubble Transition Entropy for Quantitative Assessment of Mental Arithmetic Electroencephalogram
Xiaobi Chen, Guanghua Xu, Sicong Zhang et al. Applied Sciences, 2022. Cites: paper

Deep Learning Based EEG Analysis Using Video Analytics
Darshil Shah, Meghna Govind, Gopika Gopan K et al. Proceedings - International Conference on Image Processing, 2022. Cites: paper

Real time detection of cognitive load using fNIRS: A deep learning approach
Subashis Karmakar, Supreeti Kamilya, Prasenjit Dey et al. Biomedical Signal Processing and Control, 2022. Cites: paper

Mental performance classification using fused multilevel feature generation with EEG signals
Emrah Aydemir, Mehmet Bayğın, Şengül Doğan et al. International Journal of Healthcare Management, 2022. Cites: paper

Biological neural network model based on a non-linear stochastic system
Cristina Popovici, A Pătraşcu Cutaru, Leontin Tuţă et al. IOP Conference Series Materials Science and Engineering, 2022. Cites: dataset

Edge of Medical Things Implementation for Deep Learning-Based Cognitive Task Recognition
Manali Saini, Deepak Kumar, Udit Satija. IEEE Internet of Things Magazine, 2022. Cites: paper

Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning
Umang Goenka, Param Patil, Kush Gosalia et al. IEEE International Conference on Information Reuse and Integration (IRI), 2022. Cites: paper

Cognitive load detection using circulant singular spectrum analysis and Binary Harris Hawks Optimization based feature selection
Jammisetty Yedukondalu, Lakhan Dev Sharma. Biomedical Signal Processing and Control, 2022. Cites: paper

An investigation of the multi-dimensional (1D vs. 2D vs. 3D) analyses of EEG signals using traditional methods and deep learning-based methods
Darshil Shah, Gopika Gopan K, Neelam Sinha. Frontiers in Signal Processing, 2022. Cites: paper

Self-Supervised Learning for Electroencephalography
Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli et al. IEEE Transactions on Neural Networks and Learning Systems, 2022. Cites: paper

Causal Symbolic Information Transfer for the Assessment of functional Brain-Heart Interplay through EEG Microstates Occurrences: a proof-of-concept study
Davide Manzoni, Vincenzo Catrambone, Gaetano Valenza. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022. Cites: paper

Math Skills: a New Look from Functional Data Analysis
Jacopo Lazzari, Riccardo Asnaghi, Letizia Clementi et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022. Cites: paper

Mental State Classification Using Multi-Graph Features
Guodong Chen, Hayden S. Helm, Kate Lytvynets et al. Frontiers in Human Neuroscience, 2022. Cites: paper

A novel technique for stress detection from EEG signal using hybrid deep learning model
Lokesh Malviya, Sandip Mal. Neural Computing and Applications, 2022. Cites: paper

A One-Step Physiological Status Assessment Method Fusing Subject-Variant Information
Yu An, Shanen Chen, Xi Zhang. IEEE Transactions on Automation Science and Engineering, 2022. Cites: paper

Discriminatory Features Based on Wavelet Energy for Effective Analysis of Electroencephalogram During Mental Tasks
Manali Saini, Udit Satija, Madhur Deo Upadhayay. Circuits Systems and Signal Processing, 2022. Cites: paper

Distinguishing cognitive states using electroencephalography local activation and functional connectivity patterns
T. A. Suhail, K.P. Indiradevi, E M Suhara et al. Biomedical Signal Processing and Control, 2022. Cites: paper

Automatic Mental Fatigue Detection in Real-Scene Classroom Learning
Shanshan Li, Xiaorou Hu, Zhaonian Hu et al. International Conference on Computer and Communication Systems (ICCCS), 2022. Cites: paper

EEG based stress classification by using difference plots of variational modes and machine learning
Nilima Salankar, Saeed Mian Qaisar. Journal of Ambient Intelligence and Humanized Computing, 2022. Cites: paper

Data-Driven EEG Band Discovery with Decision Trees
Shawhin Talebi, John Waczak, Bharana Fernando et al. Sensors, 2022. Cites: paper

MuLHiTA: A Novel Multiclass Classification Framework With Multibranch LSTM and Hierarchical Temporal Attention for Early Detection of Mental Stress
Likun Xia, Yuan Feng, Ziheng Guo et al. IEEE Transactions on Neural Networks and Learning Systems, 2022. Cites: paper

Cognitive Workload Estimation Using Variational Autoencoder and Attention-Based Deep Model
Debashis Das Chakladar, Sumalyo Datta, Partha Pratim Roy et al. IEEE Transactions on Cognitive and Developmental Systems, 2022. Cites: paper

Analysis of Mental Task Ability in Students based on Electroencephalography Signals
T. Ananda Babu, Sridevi Gadde, S. Ravi et al. IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2022. Cites: paper

On-Device Implementation for Deep-Learning-Based Cognitive Activity Prediction
Manali Saini, Udit Satija. IEEE Sensors Letters, 2022. Cites: paper

Graph Signal Processing Based Cross-Subject Mental Task Classification Using Multi-Channel EEG Signals
Priyanka Mathur, Vijay Kumar Chakka. IEEE Sensors Journal, 2022. Cites: paper

Evolutionary inspired approach for mental stress detection using EEG signal
Lakhan Dev Sharma, Vijay Kumar Bohat, Maria Habib et al. Expert Systems with Applications, 2022. Cites: paper

Automated attention deficit classification system from multimodal physiological signals
Nilima Salankar, Deepika Koundal, Chinmay Chakraborty et al. Multimedia Tools and Applications, 2022. Cites: paper

The fast continuous wavelet transformation (fCWT) for real-time, high-quality, noise-resistant time–frequency analysis
Lukas P.A. Arts, Egon L. van den Broek. Nature Computational Science, 2022. Cites: paper

One-dimensional convolutional neural network architecture for classification of mental tasks from electroencephalogram
Manali Saini, Udit Satija, Madhur Deo Upadhayay. Biomedical Signal Processing and Control, 2022. Cites: paper

A New Fractional‐Order Map with Infinite Number of Equilibria and Its Encryption Application
Ahlem Gasri, Amina–Aicha Khennaoui, Adel Ouannas et al. Complexity, 2022. Cites: paper

Cognitive Load Measurement Using Arithmetic and Graphical Tasks and Galvanic Skin Response
Patient Zihisire Muke, Zbigniew Telec, Bogdan Trawiński. Lecture notes in computer science, 2022. Cites: paper

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