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An intelligent fault diagnosis approach for multirotor UAVs based on deep neural network of multi-resolution transform features
LA Al-Haddad, AA Jaber - Drones, 2023 - mdpi.com
As a modern technological trend, unmanned aerial vehicles (UAVs) are extensively
employed in various applications. The core purpose of condition monitoring systems …
employed in various applications. The core purpose of condition monitoring systems …
sEMG signal processing methods: A review
J Wu, X Li, W Liu, ZJ Wang - Journal of Physics: Conference …, 2019 - iopscience.iop.org
Surface electromyography (sEMG) is one type of bioelectrical signal produced by the human
body. sEMG contains meaningful information associated with muscle activity and has …
body. sEMG contains meaningful information associated with muscle activity and has …
EMG feature evaluation for improving myoelectric pattern recognition robustness
A Phinyomark, F Quaine, S Charbonnier… - Expert Systems with …, 2013 - Elsevier
In pattern recognition-based myoelectric control, high accuracy for multiple discriminated
motions is presented in most of related literature. However, there is a gap between the …
motions is presented in most of related literature. However, there is a gap between the …
LMD based features for the automatic seizure detection of EEG signals using SVM
T Zhang, W Chen - IEEE Transactions on Neural Systems and …, 2016 - ieeexplore.ieee.org
Achieving the goal of detecting seizure activity automatically using electroencephalogram
(EEG) signals is of great importance and significance for the treatment of epileptic seizures …
(EEG) signals is of great importance and significance for the treatment of epileptic seizures …
A new hybrid intelligent system for accurate detection of Parkinson's disease
Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most
common neurodegenerative disorders due to the loss of dopamine-producing brain cells …
common neurodegenerative disorders due to the loss of dopamine-producing brain cells …
Enhanced fault detection of wind turbine using extreme gradient boosting technique based on nonstationary vibration analysis
Wind turbines serve a vital role in renewable energy generation but operate in harsh
environments and endure variable loading. Monitoring wind turbine blade conditions is …
environments and endure variable loading. Monitoring wind turbine blade conditions is …
Comparative analysis of SVM and Naive Bayes classifier for the SEMG signal classification
Y Narayan - Materials Today: Proceedings, 2021 - Elsevier
The surface electromyography (sEMG) signals are the human muscle signals which are
employed in various biomedical and engineering applications. Classification of sEMG …
employed in various biomedical and engineering applications. Classification of sEMG …
Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification
Background and objective Infant cry signal carries several levels of information about the
reason for crying (hunger, pain, sleepiness and discomfort) or the pathological status …
reason for crying (hunger, pain, sleepiness and discomfort) or the pathological status …
Investigating the effect of flickering frequency pair and mother wavelet selection in steady-state visually-evoked potentials on two-command brain-computer interfaces
Introduction Steady-state visually evoked potentials (SSVEPs) have become popular in
brain-computer interface (BCI) applications in addition to many other applications on clinical …
brain-computer interface (BCI) applications in addition to many other applications on clinical …
Feature selection based on binary tree growth algorithm for the classification of myoelectric signals
Electromyography (EMG) has been widely used in rehabilitation and myoelectric prosthetic
applications. However, a recent increment in the number of EMG features has led to a high …
applications. However, a recent increment in the number of EMG features has led to a high …