Signal acquisition and time–frequency perspective of EMG signal-based systems and applications
The last few decades have emerged as a remarkable era for exploring and employing
electromyography (EMG) signals and their attributes in various applications such as clinical …
electromyography (EMG) signals and their attributes in various applications such as clinical …
A voice feature extraction method based on fractional attribute topology for Parkinson's disease detection
T Zhang, L Lin, Z Xue - Expert systems with applications, 2023 - Elsevier
Parkinson's disease (PD) is a common neurodegenerative disease that seriously affects the
health and daily life of patients. Dysphonia is one of the early symptoms of PD and extracting …
health and daily life of patients. Dysphonia is one of the early symptoms of PD and extracting …
Application of fractional Fourier transform in feature extraction from ELECTROCARDIOGRAM and GALVANIC SKIN RESPONSE for emotion recognition
F Panahi, S Rashidi, A Sheikhani - Biomedical Signal Processing and …, 2021 - Elsevier
Emotion recognition from physiological signals plays an essential role in human–computer
interaction and affective computing. This paper aims to study the effectiveness of Fractional …
interaction and affective computing. This paper aims to study the effectiveness of Fractional …
Ramanujan Fourier mode decomposition and its application in gear fault diagnosis
J Cheng, Y Yang, Z Wu, H Shao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As an important part of rotating machinery, gear is easy to appear some unexpected fault
states, and its fault diagnosis is very important. Fourier decomposition method (FDM) is a …
states, and its fault diagnosis is very important. Fourier decomposition method (FDM) is a …
Design of upper limb prosthesis using real-time motion detection method based on EMG signal processing
NN Unanyan, AA Belov - Biomedical Signal Processing and Control, 2021 - Elsevier
Many people suffer from disability, caused by arm amputees and congenital disorder of the
musculoskeletal system. An upper limb prosthesis can help disabled people to do their …
musculoskeletal system. An upper limb prosthesis can help disabled people to do their …
Real-time emg signal classification via recurrent neural networks
Real-time classification of Electromyography signals is the most challenging part of
controlling a prosthetic hand. Achieving a high classification accuracy of EMG signals in a …
controlling a prosthetic hand. Achieving a high classification accuracy of EMG signals in a …
An incremental learning method with hybrid data over/down-sampling for sEMG-based gesture classification
Surface electromyography (sEMG)-based gesture classification methods have been widely
developed in neural decoding. However, these decoding methods are usually constrained …
developed in neural decoding. However, these decoding methods are usually constrained …
Regularized sampling reconstruction of signals in the linear canonical transform domain
Sampling reconstruction of signals band-limited in the linear canonical transform domain
has become a major task in bridging the relationship between the continuous physical …
has become a major task in bridging the relationship between the continuous physical …
Emg signal classification using reflection coefficients and extreme value machine
Electromyography is a promising approach to the gesture recognition of humans if an
efficient classifier with a high accuracy is available. In this paper, we propose to utilize …
efficient classifier with a high accuracy is available. In this paper, we propose to utilize …
Application of a sEMG hand motion recognition method based on variational mode decomposition and ReliefF algorithm in rehabilitation medicine
Y Yuan - PloS one, 2024 - journals.plos.org
Hand motion intention recognition has been considered as one of the crucial research fields
for prosthetic control and rehabilitation medicine. In recent years, surface electromyogram …
for prosthetic control and rehabilitation medicine. In recent years, surface electromyogram …