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
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