مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

304
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Electromyogram Signal Compression Using Pre/De-emphasis-Based Smoothing Technique

Pages

  1837-1848

Abstract

 Today, there is a great tendency to store long-term recordings of electromyogram (EMG) signals; thus, showing the importance and necessity of effective compression of this type of biomedical signals. In this paper, regarding to the relatively rapid variation of EMG instantaneous amplitudes and thus having rather high frequency components, we have proposed a compression approach in which a smooth and reversible version of the input EMG signal is generated to be compressed instead of the original one; thus, improving the compression efficiency. We have used the Pre/De-emphasis Technique in the Fourier domain to produce a smooth signal from the input EMG signal. The smoothed signal is then simply converted to the corresponding 2D image and finally, compressed by the Wavelet Transform and Set Partitioning In Hierarchical Trees (SPIHT) codec. The proposed method is evaluated by two sets of criteria, measuring the compression efficiency (including the PRD and CF measures) and capability of preserving the clinical information (including four spectral parameters). The results show the superiority of the proposed method compared to most of existing approaches.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    Magari, M., & Grailu, H.. (2019). Electromyogram Signal Compression Using Pre/De-emphasis-Based Smoothing Technique. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 49(4 (90) ), 1837-1848. SID. https://sid.ir/paper/386730/en

    Vancouver: Copy

    Magari M., Grailu H.. Electromyogram Signal Compression Using Pre/De-emphasis-Based Smoothing Technique. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2019;49(4 (90) ):1837-1848. Available from: https://sid.ir/paper/386730/en

    IEEE: Copy

    M. Magari, and H. Grailu, “Electromyogram Signal Compression Using Pre/De-emphasis-Based Smoothing Technique,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 49, no. 4 (90) , pp. 1837–1848, 2019, [Online]. Available: https://sid.ir/paper/386730/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top