Cover Image

Machine Learning to Detect Anxiety Disorders from Error-Related Negativity and EEG Signals

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chandrasekar, Ramya, Hasan, Md Rakibul, Ghosh, Shreya, Gedeon, Tom, Hossain, Md Zakir
Format:	Preprint
Published:	2024
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time
by: Jobayer, Md, et al.
Published: (2024)

Frequency-Specific Neural Response and Cross-Correlation Analysis of Envelope Following Responses to Native Speech and Music Using Multichannel EEG Signals: A Case Study
by: Hasan, Md. Mahbub, et al.
Published: (2025)

Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods
by: Hasan, Md Rakibul, et al.
Published: (2023)

MADE-for-ASD: A Multi-Atlas Deep Ensemble Network for Diagnosing Autism Spectrum Disorder
by: Liu, Xuehan, et al.
Published: (2024)

PaperNet: Efficient Temporal Convolutions and Channel Residual Attention for EEG Epilepsy Detection
by: Sajid, Md Shahriar, et al.
Published: (2025)

Privacy-Preserving Empathy Detection in Video Interactions
by: Hasan, Md Rakibul, et al.
Published: (2025)

DiabetesNet: A Deep Learning Approach to Diabetes Diagnosis
by: Zhang, Zeyu, et al.
Published: (2024)

UPLME: Uncertainty-Aware Probabilistic Language Modelling for Robust Empathy Regression
by: Hasan, Md Rakibul, et al.
Published: (2025)

Parkinson's Disease Classification via EEG: All You Need is a Single Convolutional Layer
by: Anjum, Md Fahim
Published: (2024)

Three-Way Emotion Classification of EEG-based Signals using Machine Learning
by: Purwar, Ashna, et al.
Published: (2026)

Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation
by: Imtiaz, Md Niaz, et al.
Published: (2025)

A Spatio-Temporal Feature Fusion EEG Virtual Channel Signal Generation Network and Its Application in Anxiety Assessment
by: Yuan, Shangqing, et al.
Published: (2025)

Affordable EEG, Actionable Insights: An Open Dataset and Evaluation Framework for Epilepsy Patient Stratification
by: Tabib, HM Shadman, et al.
Published: (2025)

Prediction of Cellular Malignancy Using Electrical Impedance Signatures and Supervised Machine Learning
by: Hossain, Shadeeb
Published: (2026)

Interpretable Heart Disease Prediction via a Weighted Ensemble Model: A Large-Scale Study with SHAP and Surrogate Decision Trees
by: Hasnat, Md Abrar, et al.
Published: (2025)

Respiratory Anomaly Detection using Reflected Infrared Light-wave Signals
by: Islam, Md Zobaer, et al.
Published: (2023)

Hybrid Pipeline SWD Detection in Long-Term EEG Signals
by: Rincon, Antonio Quintero, et al.
Published: (2025)

Enhancing UAV Security Through Zero Trust Architecture: An Advanced Deep Learning and Explainable AI Analysis
by: Haque, Ekramul, et al.
Published: (2024)

Is Limited Participant Diversity Impeding EEG-based Machine Learning?
by: Bomatter, Philipp, et al.
Published: (2025)

Emotion Detection from EEG using Transfer Learning
by: Sidharth, Sidharth, et al.
Published: (2023)

Improving Transferability of Network Intrusion Detection in a Federated Learning Setup
by: Ghosh, Shreya, et al.
Published: (2024)

Labels Generated by Large Language Models Help Measure People's Empathy in Vitro
by: Hasan, Md Rakibul, et al.
Published: (2025)

Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis
by: Chandanwala, Ali Asgar, et al.
Published: (2024)

Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models
by: An, Yang, et al.
Published: (2024)

Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets
by: Mellot, Apolline, et al.
Published: (2024)

On the Design and Performance of Machine Learning Based Error Correcting Decoders
by: Yuan, Yuncheng, et al.
Published: (2024)

DANCE: Detect and Classify Events in EEG
by: Lévy, Jarod, et al.
Published: (2026)

mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup
by: Liu, Xuan-Hao, et al.
Published: (2025)

Graph Filters for Signal Processing and Machine Learning on Graphs
by: Isufi, Elvin, et al.
Published: (2022)

Adaptive Segmentation of EEG for Machine Learning Applications
by: Zhou, Johnson, et al.
Published: (2025)

The Deep-Match Framework for Event-Related Potential Detection in EEG
by: Zylinski, Marek, et al.
Published: (2026)

BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
by: Xiao, Qinfan, et al.
Published: (2025)

Bridging Accuracy and Explainability in EEG-based Graph Attention Network for Depression Detection
by: Hazra, Soujanya, et al.
Published: (2025)

Post-processing of EEG-based Auditory Attention Decoding Decisions via Hidden Markov Models
by: Heintz, Nicolas, et al.
Published: (2025)

Age-Normalized HRV Features for Non-Invasive Glucose Prediction: A Pilot Sleep-Aware Machine Learning Study
by: Azam, Md Basit, et al.
Published: (2025)

Machine Learning Fairness for Depression Detection using EEG Data
by: Kwok, Angus Man Ho, et al.
Published: (2025)

Machine Learning-Based Analysis of ECG and PCG Signals for Rheumatic Heart Disease Detection: A Scoping Review (2015-2025)
by: Olatunji, Damilare Emmanuel, et al.
Published: (2025)

Utilizing Machine Learning for Signal Classification and Noise Reduction in Amateur Radio
by: Sanchez, Jimi
Published: (2024)

EEG-MSAF: An Interpretable Microstate Framework uncovers Default-Mode Decoherence in Early Neurodegeneration
by: Hasan, Mohammad Mehedi, et al.
Published: (2025)

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
by: An, Sion, et al.
Published: (2024)