title: Improved maximum frequency estimation with application to instantaneous mean frequency estimation of surface electromyography.
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.
authors.affiliation: Department of Biomedical Engineering and Informatics, University Hospital, 901 85 Umeå, Sweden. nils.ostlund@vll.se
authors.forename: Nils
authors.initials: N
authors.lastname: Ostlund
authors.forename: Jun
authors.initials: J
authors.lastname: Yu
authors.forename: J Stefan
authors.initials: JS
authors.lastname: Karlsson
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004576:Electromyography / Q000379:methods*; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D018482:Muscle, Skeletal / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity