Pattern Recognition Approach to Electromyography Data

Name: Pattern Recognition Approach to Electromyography Data
Brand: VDM Verlag
SKU: 9783639297843
Price: 17189 HUF
Availability: InStock

Szerző: Ivan Mitzev

Nyelv:

Kötés: Puha kötésű

Kiadó: VDM Verlag

Elérhetőség: Kiadói készleten rendelésre

Küldés 17-27 napon belül

17 189 Ft

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

Információk a könyvről

Szerző

Ivan Mitzev

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2010

oldal

108

EAN

9783639297843

ISBN

3639297849

Enbook ID

06836818

Kiadó

VDM Verlag

Súly

168

Méretek

152 x 229 x 7

Teljes leírás

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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