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sEMG-based identification of hand motion commands using wavelet neural network combined with discrete wavelet transform
Surface electromyogram (sEMG) signals can be applied in medical, rehabilitation, robotic,
and industrial fields. As a typical application, a myoelectric prosthetic hand is controlled by …
and industrial fields. As a typical application, a myoelectric prosthetic hand is controlled by …
Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction
Forecasting the sediment load in a river is difficult due to different parameters viz., heavy
rainfall and precipitation, tropical climate, transportation of sediment, and so on. The wavelet …
rainfall and precipitation, tropical climate, transportation of sediment, and so on. The wavelet …
[PDF][PDF] Comparative analysis of coiflet and daubechies wavelets using global threshold for image denoising
With many techniques available for image de-noising, the challenge to find the most efficient
technique among them still prevails. This paper presents a comparative analysis of Wavelet …
technique among them still prevails. This paper presents a comparative analysis of Wavelet …
Detection of two‐level inverter open‐circuit fault using a combined DWT‐NN approach
Three‐phase static converters with voltage structure are widely used in many industrial
systems. In order to prevent the propagation of the fault to other components of the system …
systems. In order to prevent the propagation of the fault to other components of the system …
A coiflet LDMR and coiflet OB-ELM for river suspended sediment load prediction
The forecast of suspended sediment load in a river is a complicated task due to different
parameters such as tropical climate, excessive precipitation, transport, etc. The wavelet …
parameters such as tropical climate, excessive precipitation, transport, etc. The wavelet …
Performance analysis of seismocardiography for heart sound signal recording in noisy scenarios
This paper presents a system based on Seismocardiography (SCG) to monitor the heart
sound signal for the long-term. It uses an accelerometer, which is of small size and low …
sound signal for the long-term. It uses an accelerometer, which is of small size and low …
A lightweight 1-d convolution neural network model for multi-class classification of heart sounds
Analysis of heart sound signals provides ample features to diagnose cardiovascular
diseases (CVDs) at an early stage. However, the role of cardiac auscultation is limited only …
diseases (CVDs) at an early stage. However, the role of cardiac auscultation is limited only …
An adaptive method for shrinking of wavelet coefficients for phonocardiogram denoising
Noise suppression from the phonocardiogram (PCG) signal is important to improve the
diagnostic efficiency. For the PCG signal, Discrete Wavelet Transform (DWT) based …
diagnostic efficiency. For the PCG signal, Discrete Wavelet Transform (DWT) based …
An efficient algorithm for the removal of motion artifacts in wearable ECG technology
Wearable electrocardiogram (ECG) devices are pivotal for healthcare monitoring; however,
artifacts, especially from non-contact capacitive electrodes, can significantly compromise …
artifacts, especially from non-contact capacitive electrodes, can significantly compromise …
[PDF][PDF] Application of wavelet functions in signal approximation
M Todorova, R Parvanova - The 1st International Conference …, 2018 - researchgate.net
Wavelet functions are widely used in many mathematical and engineering fields. This paper
discusses the capabilities of wavelet functions for approximation of different determinate …
discusses the capabilities of wavelet functions for approximation of different determinate …