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

electromyography; EMG; instantaneous mean frequency; maximum frequency; varying signal-to-noise ratio

Published in

IEEE Transactions on Biomedical Engineering
2004, Volume: 51, number: 9, pages: 1541-1546
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

SLU Authors

• Yu, Jun

  • Department of Forest Economics, Swedish University of Agricultural Sciences
    

Publication identifier

DOI: https://doi.org/10.1109/TBME.2004.827930

Permanent link to this page (URI)

https://res.slu.se/id/publ/4968