A review on electromyography decoding and pattern recognition for human-machine interaction
This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …
signals and its applications. The EMG technology is introduced and the most relevant …
A review of algorithm & hardware design for AI-based biomedical applications
Y Wei, J Zhou, Y Wang, Y Liu, Q Liu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
This paper reviews the state of the arts and trends of the AI-Based biomedical processing
algorithms and hardware. The algorithms and hardware for different biomedical applications …
algorithms and hardware. The algorithms and hardware for different biomedical applications …
Feature extraction and selection for myoelectric control based on wearable EMG sensors
Specialized myoelectric sensors have been used in prosthetics for decades, but, with recent
advancements in wearable sensors, wireless communication and embedded technologies …
advancements in wearable sensors, wireless communication and embedded technologies …
Electromyogram-based classification of hand and finger gestures using artificial neural networks
Electromyogram (EMG) signals have been increasingly used for hand and finger gesture
recognition. However, most studies have focused on the wrist and whole-hand gestures and …
recognition. However, most studies have focused on the wrist and whole-hand gestures and …
[HTML][HTML] Machine learning-based feature extraction and classification of emg signals for intuitive prosthetic control
Signals play a fundamental role in science, technology, and communication by conveying
information through varying patterns, amplitudes, and frequencies. This paper introduces …
information through varying patterns, amplitudes, and frequencies. This paper introduces …
An experimental study on upper limb position invariant EMG signal classification based on deep neural network
The classification of surface electromyography (sEMG) signal has an important usage in the
man-machine interfaces for proper controlling of prosthetic devices with multiple degrees of …
man-machine interfaces for proper controlling of prosthetic devices with multiple degrees of …
EMG feature selection and classification using a Pbest-guide binary particle swarm optimization
Due to the increment in hand motion types, electromyography (EMG) features are
increasingly required for accurate EMG signals classification. However, increasing in the …
increasingly required for accurate EMG signals classification. However, increasing in the …
A bionic hand controlled by hand gesture recognition based on surface EMG signals: A preliminary study
WT Shi, ZJ Lyu, ST Tang, TL Chia, CY Yang - … and Biomedical Engineering, 2018 - Elsevier
A bionic hand with fine motor ability could be a favorable option for replacing the human
hand when performing various operations. Myoelectric control has been widely used to …
hand when performing various operations. Myoelectric control has been widely used to …
Current trends and confounding factors in myoelectric control: Limb position and contraction intensity
This manuscript presents a hybrid study of a comprehensive review and a systematic
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …
Surface EMG based continuous estimation of human lower limb joint angles by using deep belief networks
Surface electromyography (EMG) signals have been widely used in locomotion studies and
human-machine interface applications. In this paper, a regression model which relates the …
human-machine interface applications. In this paper, a regression model which relates the …