Motion prediction for the sensorimotor control of hand prostheses with a brain-machine interface using EEG (original) (raw)

Design of Embedded System for Multivariate Classification of Finger and Thumb Movements Using EEG Signals for Control of Upper Limb Prosthesis

Nasir Rashid

BioMed research international, 2018

View PDFchevron_right

Classification of EMG signals to control a prosthetic hand using time-frequesncy representations and Support Vector Machines

Juan Fontana

2010

View PDFchevron_right

Controlling a simple hand prosthesis using brain signals

Rand Almajidy

View PDFchevron_right

An implementation of movement classification for prosthesis control using custom-made EMG system

Nikola Jorgovanovic

Serbian Journal of Electrical Engineering, 2017

View PDFchevron_right

Recognition of finger movements using EEG signals for control of upper limb prosthesis using logistic regression

Mohsin Tiwana

Biomedical Research-tokyo, 2017

View PDFchevron_right

Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors

Erik Scheme

Sensors (Basel, Switzerland), 2018

View PDFchevron_right

Design and implementation of an intelligent interface for myoelectric controlled prosthesis

Carlos Sanchez

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

View PDFchevron_right

The Development of a Virtual Myoelectric Prosthesis Controlled by an EMG Pattern Recognition System Based on Neural Networks

Adriano de Oliveira Andrade, Alcimar B. Soares

Journal of Intelligent Information Systems, 2003

View PDFchevron_right

Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation

Sergio Savino

Sensors, 2019

View PDFchevron_right

EMG-Controlled Transradial Prostheses - An Investigation into Machine Learning Techniques

Ghulam Rasool

International Journal of Computer Applications

View PDFchevron_right

Resolving the effect of wrist position on myoelectric pattern recognition control

Adenike Adewuyi

Journal of NeuroEngineering and Rehabilitation, 2017

View PDFchevron_right

Classification of Electroencephalogram Data from Hand Grasp and Release Movements for BCI Controlled Prosthesis

Khairunnisa Johar

Procedia Technology, 2016

View PDFchevron_right

Control of Prosthetic Device Using Support Vector Machine Signal Classification Technique

Juan Fontana

American Journal of Biomedical Sciences, 2009

View PDFchevron_right

Classification of Dexterous Hand Movements Based on Myoelectric Signals Using Neural Networks

John Jairo Villarejo Mayor

Anais do V Congresso Brasileiro de Eletromiografia e Cinesiologia e X Simpósio de Engenharia Biomédica, 2018

View PDFchevron_right

Towards Improved EEG Interpretation for the Control of a Prosthetic/Orthotic Hand using a BCI

Tshilidzi Marwala

View PDFchevron_right

Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal

Muhammad Asad Khan

Advances in Intelligent Systems and Computing, 2020

View PDFchevron_right

Decoding Arm Movements by Myoelectric Signal and Artificial Neural Networks

Alexandre Balbinot

Intelligent Control and Automation, 2013

View PDFchevron_right

ANN-based EMG classification for myoelectric control

Rami Oweis

International Journal of Medical Engineering and Informatics, 2014

View PDFchevron_right

Evaluating EMG Feature and Classifier Selection for Application to Partial-Hand Prosthesis Control

Adenike Adewuyi

Frontiers in Neurorobotics, 2016

View PDFchevron_right

Classification of EMG signals through wavelet analysis and neural networks for controlling an active hand prosthesis

Giuseppina C Gini, Michele Folgheraiter

View PDFchevron_right

Optimization of Electrode Placement in Electromyographic Prosthetic Control

Scott Walbran

2013

View PDFchevron_right

A Self-Learning Control Scheme for Upper-Limb Prosthesis Control Using Combined Neuromuscular and Brain Wave Signals

Oluwarotimi Samuel

Proceedings of 7th International Electronic Conference on Sensors and Applications, 2020

View PDFchevron_right

EEG signals can be used to detect the voluntary hand movements by using an enhanced resource-allocating neural network

Abbas Erfanian

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

View PDFchevron_right

Decoding arm movements by myoeletric signals and artificial neural networks

Mara Barreto

ISSNIP Biosignals and Biorobotics Conference 2011, 2011

View PDFchevron_right

IAETSD-RECOGNITION OF EMG BASED HAND GESTURES FOR PROSTHETIC CONTROL USING ARTIFICIAL NEURAL NETWORKS

iaetsd iaetsd

View PDFchevron_right

Performance Analysis of Machine Learning Algorithms for Classifying Hand Motion-Based EEG Brain Signals

Jaideep Sachdev

Computer Systems Science and Engineering, 2022

View PDFchevron_right