Pattern Recognition Approach to Electromyography Data

Name: Pattern Recognition Approach to Electromyography Data
Brand: VDM Verlag
SKU: 9783639297843
Price: 254.13 RON
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Autor: Ivan Mitzev

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EMG classification is widely used in electric control of mechanically developed prosthesis, robots d...

Informații despre carte

Autor

Ivan Mitzev

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2010

Pagini

108

EAN

9783639297843

ISBN

3639297849

Enbook ID

06836818

Editura

VDM Verlag

Greutate

168

Dimensiuni

152 x 229 x 7

Descriere completă

EMG classification is widely used in electric control of mechanically developed prosthesis, robots development, clinical application etc. It has been evaluated for years, but the main goal of this research is to develop an easy to implement and fast to execute pattern recognition method for classifying signals used for human gait analysis. This method is based on adding two new temporal features (form factor and standard deviation) for EMG signal recognition and using them along with several popular features (area under the curve, wavelength function-pathway and zero crossing rate) to come up with a low complexity suitable feature extraction. Results are presented for EMG data and a comparison with existing methods is made to validate the applicability of the foregoing method. It is shown that the best combination in terms of accuracy and time performance is given by spectral and temporal extraction features along with neural network recognition algorithm. Ideas from this thesis could be useful for any kind of biomedical signal recognition such as recognizing abnormal EMG, ECG, EEG sets as well for searching already scanned signals.

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Pattern Recognition Approach to Electromyography Data

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