• DocumentCode
    1079419
  • Title

    Improved maximum frequency estimation with application to instantaneous mean frequency estimation of surface electromyography

  • Author

    Östlund, Nils ; Yu, Jun ; Karlsson, J. Stefan

  • Author_Institution
    Dept. of Biomed. Eng. & Informatics, Univ. Hosp., Umea, Sweden
  • Volume
    51
  • Issue
    9
  • fYear
    2004
  • Firstpage
    1541
  • Lastpage
    1546
  • Abstract
    The purpose of this study was to improve the maximum-frequency estimation. Three methods to estimate the maximum frequency of a bandlimited signal with additive white noise were compared. Two existing methods, the threshold-crossing method (TCM) and the hybrid method, were modified for time-frequency representations. A novel approach, the running-block threshold method (RBTM), was introduced. Based on calculation of detection probability (sensitivity) the RBTM improved the maximum-frequency estimate as compared with the TCM. The maximum-frequency estimation methods were also used to determine the integration interval for instantaneous mean-frequency (IMNF) estimation from synthesized surface electromyography containing white noise. Results showed that the IMNF estimate was improved by using any of the three methods and that the RBTM gave the best IMNF estimate.
  • Keywords
    AWGN; electromyography; frequency estimation; medical signal processing; signal representation; time-frequency analysis; additive white noise; bandlimited signal; detection probability; hybrid method; improved maximum frequency estimation; instantaneous mean frequency estimation; running-block threshold method; surface electromyography; threshold-crossing method; Additive white noise; Biomedical engineering; Biomedical informatics; Electromyography; Ergonomics; Frequency estimation; Physics; Signal processing; Signal to noise ratio; Time frequency analysis; Action Potentials; Algorithms; Animals; Computer Simulation; Diagnosis, Computer-Assisted; Electromyography; Humans; Models, Neurological; Models, Statistical; Muscle, Skeletal; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2004.827930
  • Filename
    1325814