Frontiers

MEPFeatX—automated feature extraction of motor-evoked potentials in transcranial magnetic stimulation

Motor evoked potentials (MEPs) are an important measure in transcranial magnetic stimulation (TMS) when assessing neuronal excitability in clinical diagnostics related to motor function, as well as in ...
IEEE

A Stratified sEMG Feature Extraction Method for Hand Gesture Recognition

Abstract: Surface electromyographic (sEMG) signals contain rich motion information and have a wide range of applications in prosthetics, medical rehabilitation, and muscle status assessment. Feature ...
Frontiers

Physics-inspired time-frequency feature extraction and lightweight neural network for power quality disturbance classification

1 Chongqing University-University of Cincinnati Joint Co-op Institute, Chongqing University, Chongqing, China 2 College of Computer Science, Sichuan University, Chengdu, Sichuan, China This study ...
IEEE

Pattern-Based Feature Extraction for Improved Deep Learning in Financial Time Series Classification

Abstract: In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time ...