84 citations · 133 across the 6 of their papers we have counts for
5 papers · 1 filter
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond
Di Wu, Jie Yang, Mohamad Sawan
Machine learning on electromyography (EMG) has recently achieved remarkable success on a variety of tasks, while such success relies heavily on the assumption that the training and…
A Compact Online-Learning Spiking Neuromorphic Biosignal Processor
Chaoming Fang, Ziyang Shen, Fengshi Tian +2
Real-time biosignal processing on wearable devices has attracted worldwide attention for its potential in healthcare applications. However, the requirement of low-area, low-power a…
An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection
Jinbo Chen, Fengshi Tian, Jie Yang +1
Wearable electrocardiograph (ECG) recording and processing systems have been developed to detect cardiac arrhythmia to help prevent heart attacks. Conventional wearable systems, ho…
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures
Yankun Xu, Jie Yang, Mohamad Sawan
Epilepsy is a chronic neurological disorder affecting 1\% of people worldwide, deep learning (DL) algorithms-based electroencephalograph (EEG) analysis provides the possibility for…
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction
Yankun Xu, Jie Yang, Shiqi Zhao +2
An accurate seizure prediction system enables early warnings before seizure onset of epileptic patients. It is extremely important for drug-refractory patients. Conventional seizur…