Application of wavelet analysis in EMG feature extraction for pattern classification
A Phinyomark, C Limsakul… - Measurement Science …, 2011 - sciendo.com
… It is widely used in the EMG recognition system. In this study, we have investigated usefulness
of extraction of the EMG features from multiple-level wavelet decomposition of the EMG …
of extraction of the EMG features from multiple-level wavelet decomposition of the EMG …
Classification of EMG signals using wavelet neural network
… (FEBANN) and wavelet neural networks (WNN) … in classification of EMG signals. In these
methods, we used an autoregressive (AR) model of EMG signals as an input to classification …
methods, we used an autoregressive (AR) model of EMG signals as an input to classification …
EMG classification using wavelet functions to determine muscle contraction
T Sharma, K Veer - Journal of medical engineering & technology, 2016 - Taylor & Francis
… electromyogram signals for different subjects. During the study we adopted 16 different wavelet
functions … The raw surface electromyogram signals were used to calculate the roots mean …
functions … The raw surface electromyogram signals were used to calculate the roots mean …
Multi-channel surface EMG classification using support vector machines and signal-based wavelet optimization
MF Lucas, A Gaufriau, S Pascual, C Doncarli… - … Signal Processing and …, 2008 - Elsevier
… classification error estimated from a training set of signals and an efficient method for exploring
a large family of wavelet functions is wavelet … by our group for simulated EMG signals [7], …
a large family of wavelet functions is wavelet … by our group for simulated EMG signals [7], …
Feature extraction and reduction of wavelet transform coefficients for EMG pattern classification
A Phinyomark, A Nuidod, P Phukpattaranont… - Elektronika ir …, 2012 - eejournal.ktu.lt
… in the wavelet analysis, a suitable wavelet function … wavelet family is the most suitable
wavelet for sEMG signal analysis [6, 22, 23], and in this study, the Daubechies orthogonal wavelets…
wavelet for sEMG signal analysis [6, 22, 23], and in this study, the Daubechies orthogonal wavelets…
Classification of EMG signals through wavelet analysis and neural networks for controlling an active hand prosthesis
M Arvetti, G Gini, M Folgheraiter - 2007 IEEE 10th international …, 2007 - ieeexplore.ieee.org
… prostheses we intend to exploit electromyographic (EMG) signals more than in the usual …
EMG signals coming from two different subjects using a novel integration of ANN and wavelet…
EMG signals coming from two different subjects using a novel integration of ANN and wavelet…
A comparative study of wavelet families for electromyography signal classification based on discrete wavelet transform
A Achmamad, A Jbari - Bulletin of Electrical Engineering and Informatics, 2020 - beei.org
… to evaluate and classify the non-stationary EMG signals based on discrete wavelet transform
(… of DWT factors on the performance of EMG signals classification. This problem is still an …
(… of DWT factors on the performance of EMG signals classification. This problem is still an …
Signal-dependent wavelets for electromyogram classification
… We focus on discrete orthogonal wavelet bases driven by the … wavelet. As an example of
application of the proposed method, we present results on the classification of surface EMG …
application of the proposed method, we present results on the classification of surface EMG …
An efficient approach for physical actions classification using surface EMG signals
… -Q factor wavelet transform (TQWT) based algorithm is proposed for the classification of physical
actions … In this paper, two non-linear kernel functions morlet wavelet and RBF is used for …
actions … In this paper, two non-linear kernel functions morlet wavelet and RBF is used for …
[PDF][PDF] EMG analysis using wavelet functions to determine muscle contraction
MBI Reaz, MS Hussain, F Mohd-Yasin - 8th International Conference …, 2006 - academia.edu
… This paper reports on the effectiveness of the wavelet transform applied to the SEMG signal
… EMG signal from right rectus femoris muscle was performed using various wavelet functions (…
… EMG signal from right rectus femoris muscle was performed using various wavelet functions (…
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