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

Jun Yu; Karlsson Stefan; Östlund Nils

doi:10.1109/TBME.2004.827930

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

Jun Yu
, Karlsson Stefan
, Östlund Nils

Publication: Contribution to journal › Journal article › peer-review

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.

Original language	English
Pages (from-to)	1541-1546
Number of pages	6
Journal	IEEE Transactions on Biomedical Engineering
Volume	51
Issue number	9
DOIs	https://doi.org/10.1109/TBME.2004.827930
Publication status	Published - 2004

Keywords

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

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10.1109/TBME.2004.827930

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@article{8c178f869689433086fe0184674fa713,

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.",

keywords = "electromyography (EMG), instantaneous mean frequency, maximum frequency, varying signal-to-noise ratio, electromyography (EMG), instantaneous mean frequency, maximum frequency, varying signal-to-noise ratio",

author = "Jun Yu and Karlsson Stefan and {\"O}stlund Nils",

year = "2004",

doi = "10.1109/TBME.2004.827930",

language = "English",

volume = "51",

pages = "1541--1546",

journal = "IEEE Transactions on Biomedical Engineering",

issn = "0018-9294",

publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",

number = "9",

}

TY - JOUR

T1 - Improved maximum frequency estimation with application to instantaneous mean frequency estimation of surface electromyography

AU - Yu, Jun

AU - Stefan, Karlsson

AU - Nils, Östlund

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - electromyography (EMG)

KW - instantaneous mean frequency

KW - maximum frequency

KW - varying signal-to-noise ratio

KW - electromyography (EMG)

KW - instantaneous mean frequency

KW - maximum frequency

KW - varying signal-to-noise ratio

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

U2 - 10.1109/TBME.2004.827930

DO - 10.1109/TBME.2004.827930

M3 - Journal article

C2 - 15376502

SN - 0018-9294

VL - 51

SP - 1541

EP - 1546

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

IS - 9

ER -

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

Abstract

Keywords

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