Surface electromyography feature extraction via convolutional neural network

Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands

(2016) Manfredo Atzori et al.   Frontiers in Neurorobotics

Gesture recognition by instantaneous surface EMG images

(2016) Weidong Geng et al.   Scientific Reports

Characterization of a Benchmark Database for Myoelectric Movement Classification

(2015) Manfredo Atzori et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

sEMG Pattern Recognition of Muscle Force of Upper Arm for Intelligent Bionic Limb Control

(2015) Xu Zhuojun et al.   Journal of Bionic Engineering

Electromyography data for non-invasive naturally-controlled robotic hand prostheses

(2014) Manfredo Atzori et al.   Scientific Data

EMG feature evaluation for improving myoelectric pattern recognition robustness

(2013) Angkoon Phinyomark et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography

(2013) Ali H. Al-Timemy et al.   IEEE Journal of Biomedical and Health Informatics

Feature reduction and selection for EMG signal classification

(2012) Angkoon Phinyomark et al.   EXPERT SYSTEMS WITH APPLICATIONS

sEMG-based continuous estimation of joint angles of human legs by using BP neural network

(2011) Feng Zhang et al.   NEUROCOMPUTING

A novel hybrid CNN–SVM classifier for recognizing handwritten digits

(2011) Xiao-Xiao Niu et al.   PATTERN RECOGNITION