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
  • [1] Adaptive estimation using weighted least squares
    O'Gorman, TW
    [J]. AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 2001, 43 (03) : 287 - 297
  • [2] Adaptive Phasor Estimation Algorithm Based on a Least Squares Method
    Kim, Woo-Joong
    Nam, Soon-Ryul
    Kang, Sang-Hee
    [J]. ENERGIES, 2019, 12 (07)
  • [3] Adaptive noise estimation using least-squares line in wavelet packet transform domain
    Jung, Sung-il
    Kwon, Younghun
    Yang, Sung-il
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2006, E89D (12) : 3002 - 3005
  • [4] Adaptive Channel Estimation Using Least Mean Squares Algorithm for Cyclic Prefix OFDM Systems
    Ling, Pooh E.
    Lim, Wee Gin
    Ali, Hassan
    [J]. 2009 IEEE 9TH MALAYSIA INTERNATIONAL CONFERENCE ON COMMUNICATIONS (MICC), 2009, : 789 - 793
  • [5] FAST ADAPTIVE LEAST-SQUARES ALGORITHMS FOR POWER SPECTRAL ESTIMATION
    KALOUPTSIDIS, N
    THEODORIDIS, S
    [J]. IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1987, 35 (05): : 661 - 670
  • [6] Power Line Network Topology Identification Using Admittance Measurements and Total Least Squares Estimation
    Passerini, Federico
    Tonello, Andrea M.
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [7] Harmonic estimation in a power system using a novel hybrid Least Squares-Adaline algorithm
    Joorabian, M.
    Mortazavi, S. S.
    Khayyami, A. A.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2009, 79 (01) : 107 - 116
  • [8] A RECURSIVE LEAST-SQUARES ALGORITHM FOR AN ORTHOGONAL IIR ADAPTIVE LINE ENHANCER
    FAHMY, MF
    ELRAHEEM, GM
    IBRAHIM, HM
    [J]. INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 1995, 23 (05) : 501 - 514
  • [9] Weighted Least Squares and Iteratively Reweighted Least Squares Comparison using Particle Swarm Optimization Algorithm in Solving Power System State Estimation
    Tungadio, D. H.
    Numbi, B. P.
    Siti, M. W.
    Jordaan, J. A.
    [J]. AFRICON, 2013, 2013, : 1265 - 1270
  • [10] A QR-based least mean squares algorithm for adaptive parameter estimation
    Liu, ZS
    Li, J
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING, 1998, 45 (03): : 321 - 329
12345