Sensitivity Analysis of Motor Unit-Based EEG Filters for Robusst Corticomuscular Coherence
- 2 August 2026
- book chapter
- Published by Springer Nature
- p. 204-212
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- The Efficiency of Manual Editing of High-Density Surface Electromyogram Decomposition Depends on the Recorded Muscle and Contraction Level but Less on the Operator’s ExperienceIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025
- Neuromechanics of the Rate of Force DevelopmentExercise and Sport Sciences Reviews, 2022
- Towards human motor augmentation by voluntary decoupling beta activity in the neural drive to muscle and force productionJournal of Neural Engineering, 2021
- Motor Unit-Driven Identification of Pathological Tremor in ElectroencephalogramsFrontiers in Neurology, 2018
- Characterization of Human Motor Units From Surface EMG DecompositionProceedings of the IEEE, 2016
- The potential of corticomuscular and intermuscular coherence for research on human motor controlFrontiers in Human Neuroscience, 2013
- Accessing the Neural Drive to Muscle and Translation to Neurorehabilitation TechnologiesIEEE Reviews in Biomedical Engineering, 2012
- Multichannel Blind Source Separation Using Convolution Kernel CompensationIEEE Transactions on Signal Processing, 2007
- Synaptic interactions mediating synchrony and oscillations in primate sensorimotor cortexJournal of Physiology-Paris, 2000