3 papers
q-bio.QM2026
A Machine Learning Framework for EEG-Based Prediction of Treatment Efficacy in Chronic Neck Pain
Xiru Wang, Aiden Li, Hongzhao Tan +3
Chronic neck pain is a leading cause of disability worldwide, and current treatment selection remains largely trial and error. We present a machine learning framework that uses ele…
eess.SP2026
Improving TMS EEG Signal Quality for Closed-Loop Neuro Stimulation via Source-Domain Denoising
Zhen Tang, Ameer Hamoodi, Stevie Foglia +2
This research addresses a validated TMS EEG cleaning pipeline and a corresponding benchmark dataset. It evaluates two widely used artifact removal pipelines. A reference dataset of…
eess.SP2024
A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application
Siqi Zhao, Wangyang Li, Xiru Wang +6
Machine learning (ML) and deep learning (DL) techniques have been widely applied to analyze electroencephalography (EEG) signals for disease diagnosis and brain-computer interfaces…