An Adaptive Two-Step Method for Voluntary Muscle Activity Detection Using sEMG Signals with False Background Spikes
Author:
Affiliation:
1. School of Electrical Engineering and Automation, Fuzhou University,Fuzhou,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10607154/10607163/10607376.pdf?arnumber=10607376
Reference15 articles.
1. Development of an Intention-Based Adaptive Neural Cooperative Control Strategy for Upper-Limb Robotic Rehabilitation
2. A review of the key technologies for sEMG-based human-robot interaction systems
3. Online Classification of Transient EMG Patterns for the Control of the Wrist and Hand in a Transradial Prosthesis
4. Unsupervised Stochastic Strategies for Robust Detection of Muscle Activation Onsets in Surface Electromyogram
5. Long short-term memory (LSTM) recurrent neural network for muscle activity detection
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