Combination time-frequency and empirical wavelet transform methods for removal of composite noise in EMG signals

S Elouaham, B Nassiri, A Dliou… - TELKOMNIKA …, 2023 - telkomnika.uad.ac.id
Electromyography (EMG) measures the electrical activity in muscles during movement. An
electromyography machine records the electrical signals from the muscle's movements as …

Non-Invasive Method-Based Estimation of Battery State-of-Health with Dynamical Response Characteristics of Load Surges

Y Fan, Q Lin, R Huang - Energies, 2024 - mdpi.com
Battery state-of-health (SOH) estimation is an effective approach to evaluate battery
reliability and reduce maintenance costs for battery-based backup power supply systems …

Empirical Wavelet Transform Based ECG Signal Filtering Method

S Elouaham, A Dliou, W Jenkal… - Journal of Electrical …, 2024 - Wiley Online Library
The electrocardiogram (ECG) is a diagnostic tool that provides insights into the heart's
electrical activity and overall health. However, internal and external noises complicate …

A Comparison of the Denoising Performance Using Capon Time-Frequency and Empirical Wavelet Transform Applied on Biomedical Signal.

K El Khadiri, S Elouaham, B Nassiri… - International …, 2023 - search.ebscohost.com
The empirical wavelet transforms and Capon time-frequency applications are used in this
work. EMG and EEG are non-invasive ways to measure muscle activity and the electrical …

Multi-Fault Diagnosis of Electric Vehicle Power Battery Based on Double Fault Window Location and Fast Classification

X Shen, S Lun, M Li - Electronics, 2024 - mdpi.com
As energy supply units, lithium-ion batteries have been widely used in the electric vehicle
industry. However, the safety of lithium-ion batteries remains a significant factor limiting their …

Research on an Alpha Navigation Signal Detection Method Based on Multichannel Orthogonal Correlation

W Yan, S Li, X Ma, Y Song, J Yuan, Y Hua - Applied Sciences, 2024 - mdpi.com
The Alpha navigation system is the only operating radio system based on very-low-
frequency (VLF) signals that can be used to research VLF navigation, timing, and …

A Method for Identifying the Wear State of Grinding Wheels Based on VMD Denoising and AO-CNN-LSTM

K Xu, D Feng - Applied Sciences, 2024 - mdpi.com
Monitoring the condition of the grinding wheel in real-time during the grinding process is
crucial as it directly impacts the precision and quality of the workpiece. Deep learning …

Combination method for denoising EMG signals using EWT and EMD techniques

S Elouaham, A Dliou, B Nassiri… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Electromyography (EMG) is a diagnostic tool commonly used to assess the electrical activity
of muscles. This test can help diagnose various neuromuscular conditions, evaluate muscle …