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Introducing a new multi-wavelet function suitable for sEMG signal to identify hand motion commands

Khezri, M ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. DOI: 10.1109/IEMBS.2007.4352693
  3. Publisher: 2007
  4. Abstract:
  5. In recent years, electromyogram signal (EMG) feature selection, based on wavelet transform, has received considerable attention. This study introduces a new multiwavelet function for surface EMG (sEMG) signal intended for tasks that involve hand movement recognition. To create the new wavelet function, several types of well known mother wavelet were exploited and through their integration the proposed mother wavelet was generated. The proposed wavelet function closely reproduced the characteristics of the EMG signal, while increasing the recognition accuracy of hand movements. We used eight unique classes of hand motions and considered the ability of various mother wavelets and the proposed multi-wavelet to recognize these movements. Furthermore, we used local extrema and zero crossing (ZC) as DWT features. The results demonstrate that the proposed multi-wavelet function provides 87% recognition mark compared to 78%, the best performance that any other mother wavelet was able to achieve. © 2007 IEEE
  6. Keywords:
  7. Electromyography ; Motion estimation ; Wavelet analysis ; EMG signal ; Hand movement ; Multi-wavelet ; Wavelet functions ; Prosthetics ; Algorithm ; Artificial neural network ; Automated pattern recognition ; Equipment ; Human ; Information processing ; Methodology ; Movement (physiology) ; Reproducibility ; Statistical model ; Algorithms ; Automatic data processing ; Data compression ; Electromyography ; Equipment design ; Hand ; Humans ; Models, statistical ; Motion ; Movement ; Neural networks (computer) ; Pattern recognition, automated ; Reproducibility of results ; Signal processing, computer-assisted
  8. Source: 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07, Lyon, 23 August 2007 through 26 August 2007 ; 2007 , Pages 1924-1927 ; 05891019 (ISSN) ; 1424407885 (ISBN); 9781424407880 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4352693