Intelligent EMG pattern recognition control method for upper-limb multifunctional prostheses: advances, current challenges, and future prospects
Upper-limb amputation imposes significant burden on amputees thereby restricting them
from fully exploring their environments during activities of daily living. The use of intelligent …
from fully exploring their environments during activities of daily living. The use of intelligent …
[HTML][HTML] ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost
We describe a new deep learning model-Convolutional eXtreme Gradient Boosting
(ConvXGB) for classification problems based on convolutional neural nets and Chen et al.'s …
(ConvXGB) for classification problems based on convolutional neural nets and Chen et al.'s …
A myoelectric prosthetic hand with muscle synergy–based motion determination and impedance model–based biomimetic control
A Furui, S Eto, K Nakagaki, K Shimada, G Nakamura… - Science Robotics, 2019 - science.org
Prosthetic hands are prescribed to patients who have suffered an amputation of the upper
limb due to an accident or a disease. This is done to allow patients to regain functionality of …
limb due to an accident or a disease. This is done to allow patients to regain functionality of …
The new generation brain-inspired sparse learning: A comprehensive survey
In recent years, the enormous demand for computing resources resulting from massive data
and complex network models has become the limitation of deep learning. In the large-scale …
and complex network models has become the limitation of deep learning. In the large-scale …
Surface electromyography (EMG) signal processing, classification, and practical considerations
Electromyography (EMG) is the process of measuring the electrical activity produced by
muscles throughout the body using electrodes on the surface of the skin or inserted in the …
muscles throughout the body using electrodes on the surface of the skin or inserted in the …
E2cnn: An efficient concatenated cnn for classification of surface emg extracted from upper limb
Surface electromyography is a bioelectrical indicator that emerges during muscle
contraction and has been widely used in a variety of clinical applications. Several prosthetic …
contraction and has been widely used in a variety of clinical applications. Several prosthetic …
Toward ML-based energy-efficient mechanism for 6G enabled industrial network in box systems
Machine learning (ML) techniques in association to emerging sixth generation (6G)
technologies, ie, massive Internet of Things (IoT), big data analytics have caught too much …
technologies, ie, massive Internet of Things (IoT), big data analytics have caught too much …
Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses
Abstract Background and Objective Mobility of subject (MoS) and muscle contraction force
variation (MCFV) have been shown to individually degrade the performance of multiple …
variation (MCFV) have been shown to individually degrade the performance of multiple …
Myoelectric control with fixed convolution-based time-domain feature extraction: Exploring the spatio–temporal interaction
RN Khushaba, AH Al-Timemy… - … on Human-Machine …, 2022 - ieeexplore.ieee.org
The role of feature extraction in electromyogram (EMG) based pattern recognition has
recently been emphasized with several publications promoting deep learning (DL) solutions …
recently been emphasized with several publications promoting deep learning (DL) solutions …
Appropriate feature set and window parameters selection for efficient motion intent characterization towards intelligently smart EMG-PR system
The constantly rising number of limb stroke survivors and amputees has motivated the
development of intelligent prosthetic/rehabilitation devices for their arm function restoration …
development of intelligent prosthetic/rehabilitation devices for their arm function restoration …