• DocumentCode
    2491202
  • Title

    Compression of surface myoelectric signals using MP3 encoding

  • Author

    Chan, Adrian D C

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    5012
  • Lastpage
    5015
  • Abstract
    The potential of MP3 compression of surface myoelectric signals is explored in this paper. MP3 compression is a perceptual-based encoder scheme, used traditionally to compress audio signals. The ubiquity of MP3 compression (e.g., portable consumer electronics and internet applications) makes it an attractive option for remote monitoring and telemedicine applications. The effects of muscle site and contraction type are examined at different MP3 encoding bitrates. Results demonstrate that MP3 compression is sensitive to the myoelectric signal bandwidth, with larger signal distortion associated with myoelectric signals that have higher bandwidths. Compared to other myoelectric signal compression techniques reported previously (embedded zero-tree wavelet compression and adaptive differential pulse code modulation), MP3 compression demonstrates superior performance (i.e., lower percent residual differences for the same compression ratios).
  • Keywords
    data compression; electromyography; encoding; medical signal processing; telemedicine; MP3 encoding bitrates; myoelectric signal bandwidth; perceptual based encoder scheme; remote monitoring applications; signal distortion; surface myoelectric signal compression; telemedicine applications; Bandwidth; Digital audio players; Electromyography; Encoding; Muscles; Psychoacoustic models; Transform coding; MP3; MPEG; data compression; electromyography; myoelectric signals; remote monitoring; telemedicine; Algorithms; Data Compression; Electromyography; Humans; Muscle Contraction; Muscle, Skeletal; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091242
  • Filename
    6091242