Yalin Wang

Prototype-Guided Test-Time Adaptation for Real-Time EMG-Based Gesture Recognition.

Surface electromyography (sEMG) signals facilitate intuitive human-machine interaction and are widely employed in applications such as prosthetics and rehabilitation. However, sEMG signal distributions are highly sensitive to variations in electrode placement, user physiology, and session conditions, which significantl...

Cross-Subject Localization of Epileptogenic Zone for Drug-Resistant Epilepsy Based on the Causal Brain Network.

OBJECTIVE While neurosurgical treatment is the primary intervention for Drug-resistant epilepsy (DRE) patients, its success rate is limited to approximately 60%. Precise localization of epileptogenic zone (EZ) is a critical factor for surgical success. This study aims to achieve cross-subject localization of the EZ in...

UMET: UEYE Mobile Eye-Tracking Integrating Lightweight Calibration Model and Efficient Fixation Point Prediction

Patient-Specific Non-Invasive Epileptogenic Zone Localization via High-Resolution Time-Frequency Representations and CNN Deep Learning.

An automated non-invasive EZ localization framework that integrates scalp EEG source imaging, high-resolution time-frequency analysis, and deep learning is developed that enables accurate personalized pre-surgical EZ map ping to optimize SEEG implantation planning.

Localizing the epileptogenic zone in drug-resistant epilepsy based on ictal SEEG high-resolution time-frequency representation

An automated EZ localization framework leveraging ictal SEEG high-resolution time-frequency representation (TFR) and convolutional neural network (CNN) provides a reliable and objective tool for clinical EZ localization, and holds substantial optimization potential via integration of complex architectures such as Trans...