CleanEMG - Power line interference estimation in sEMG using an adaptive least squares algorithm

被引：0
|
作者：
Fraser, G. D. [1 ]
Chan, A. D. C. [1 ]
Green, J. R. [1 ]
Abser, N. [2 ]
MacIsaac, D. [2 ]
机构：
[1] Carleton Univ, Dept Syst & Comp Engn, 1125 Colonel Dr, Ottawa, ON K1S 5B6, Canada
[2] Univ New Brunswick, Dept Elect & Comp Engn, Fredericton, NB, Canada
来源：
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2011年
基金：
加拿大自然科学与工程研究理事会;
关键词：
ELECTROMYOGRAM;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper presents an adaptive least squares algorithm for estimating the power line interference in surface electromyography (sEMG) signals. The algorithm estimates the power line interference, without the need for a reference input. Power line interference can be removed by subtracting the estimate from the original sEMG signal. The algorithm is evaluated with simulated sEMG based on its ability to accurately estimate power line interference at different frequencies and at various signal-to-noise ratios. Power line estimates produced by the algorithm are accurate for signal-to-noise ratios below 15 dB (SNR estimation error at 15 dB is 14.7995 dB +/- 1.6547 dB).
引用
收藏
页码：7941 / 7944
页数：4
相关论文
共 50 条
  • [31] Adaptive blind channel estimation by least squares smoothing
    Zhao, Q
    Tong, L
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (11) : 3000 - 3012
  • [32] Adaptive Least Mean Squares Estimation of Graph Signals
    Di Lorenzo, Paolo
    Barbarossa, Sergio
    Banelli, Paolo
    Sardellitti, Stefania
    [J]. IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2016, 2 (04): : 555 - 568
  • [33] STOCHASTIC ADAPTIVE-CONTROL USING A MODIFIED LEAST-SQUARES ALGORITHM
    SIN, KS
    GOODWIN, GC
    [J]. AUTOMATICA, 1982, 18 (03) : 315 - 321
  • [34] Estimation of transmission line parameters by using two least-squares methods
    Albuquerque, Felipe P.
    Costa, Eduardo C. Marques
    Liboni, Luisa H. B.
    Pereira, Ronaldo F. Ribeiro
    de Oliveira, Mauricio C.
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2021, 15 (03) : 568 - 575
  • [35] Line Parameter Estimation using Phasor Measurements by the Total Least Squares Approach
    Dasgupta, Kalyan
    Soman, S. A.
    [J]. 2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [36] Robust recursive least squares adaptive beamforming algorithm
    Song, X
    Wang, J
    Wang, H
    [J]. IEEE INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES 2004 (ISCIT 2004), PROCEEDINGS, VOLS 1 AND 2: SMART INFO-MEDIA SYSTEMS, 2004, : 238 - 241
  • [37] Adaptive Robust Least-Squares Smoothing Algorithm
    Lin, Xu
    Liang, Xiong
    Li, Wei
    Chen, Changxin
    Cheng, Lin
    Wang, Hongyue
    Zhang, Qingqing
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [38] Adaptive Algorithm for Constrained Least-Squares Problems
    Z.F. Li
    M.R. Osborne
    T. Prvan
    [J]. Journal of Optimization Theory and Applications, 2002, 114 : 423 - 441
  • [39] A robust fast recursive least squares adaptive algorithm
    Benesty, J
    Gänsler, T
    [J]. 2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 3785 - 3788
  • [40] Adaptive algorithm for constrained least-squares problems
    Li, ZF
    Osborne, MR
    Prvan, T
    [J]. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2002, 114 (02) : 423 - 441
12345