WAVELET- BASED DENOISING ALGORITHM FOR ROBUST EMG PATTERN RECOGNITION

被引：21
|
作者：
Phinyomark, Angkoon [1 ]
Phukpattaranont, Pornchai [1 ]
Limsakul, Chusak [1 ]
机构：
[1] Prince Songkla Univ, Fac Engn, Dept Elect Engn, Hat Yai 90112, Songkhla, Thailand
来源：
FLUCTUATION AND NOISE LETTERS | 2011年 / 10卷 / 02期
关键词：
Electromyography (EMG) signal; white Gaussian noise; wavelet transform; wavelet denoising; robust recognition; SIGNAL ANALYSIS; CLASSIFICATION; ELECTROMYOGRAPHY; EXTRACTION; TRANSFORM;
D O I：
10.1142/S0219477511000466
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
A successful pre-processing stage based on wavelet denoising algorithm for electromyography (EMG) signal recognition is proposed. From the limitation of traditional universal wavelet denoising, the optimal weighted parameter is assigned for universal thresholding method. The optimal weight for increasing EMG recognition accuracy is 50-60% of traditional universal threshold with hard transformation. Experimental results show that it improved approximately from 2 to 50% of recognition accuracy for EMG with signal-to-noise ratio (SNR) in the range of 20 to 0 dB compared to a baseline system (without pre-processing stage) and traditional universal wavelet denoising. The results are evaluated through a large EMG dataset with seven kinds of hand movements and eight types of muscle positions.
引用
收藏
页码：157 / 167
页数：11
相关论文
共 50 条
  • [21] A Robust Algorithm Based on Wavelet Transform for Recognition of Binary Digital Modulations
    Hassanpour, Salman
    Pezeshk, Amir Mansour
    Behnia, Fereidoon
    [J]. 2015 38TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2015, : 508 - 512
  • [22] Interscale wavelet maximum - A fine to coarse algorithm for wavelet analysis of the EMG interference pattern
    Arikidis, NS
    Abel, EW
    Forster, A
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2002, 49 (04) : 337 - 344
  • [23] Denoising algorithm based on wavelet adaptive threshold
    Wang Chunli
    Zhang Chunlei
    Zhang Pengtu
    [J]. INTERNATIONAL CONFERENCE ON APPLIED PHYSICS AND INDUSTRIAL ENGINEERING 2012, PT A, 2012, 24 : 678 - 685
  • [24] Denoising algorithm based on wavelet adaptive threshold
    Wang Chunli
    Zhang Chunlei
    Zhang Pengtu
    [J]. 2010 INTERNATIONAL CONFERENCE ON COMMUNICATION AND VEHICULAR TECHNOLOGY (ICCVT 2010), VOL II, 2010, : 141 - 144
  • [25] Image Denoising Based on Wavelet Transform Algorithm
    Ha, Yan
    Wang, Xiaofei
    Wang, Miao
    Su, Qian
    Shi, Yue
    [J]. PACIFIC RIM LASER DAMAGE 2011: OPTICAL MATERIALS FOR HIGH POWER LASERS, 2012, 8206
  • [26] Analysis of effect of cycle spinning on wavelet- and curvelet-based denoising methods on brain CT images
    Bhadauria, H. S.
    Dewal, M. L.
    [J]. JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2014, 37 (07) : 939 - 945
  • [27] Denoising and Pattern Recognition of Partial Discharges in an Insulator using Wavelet Transform
    Padma, V.
    Raghavan, V. Srinivasa
    [J]. 2012 IEEE 10TH INTERNATIONAL CONFERENCE ON THE PROPERTIES AND APPLICATIONS OF DIELECTRIC MATERIALS (ICPADM), 2012,
  • [28] A Prosthetic Arm Based on EMG Pattern Recognition
    Xu, Ke
    Guo, Weichao
    Hua, Lei
    Sheng, Xinjun
    Zhu, Xiangyang
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2016, : 1179 - 1184
  • [29] EMG Denoising Estimation Based on Adaptive Wavelet Thresholding for Multifunction Myoelectric Control
    Phinyomark, Angkoon
    Lunsakul, Chusak
    Phukpattaranont, Pornchai
    [J]. 2009 CONFERENCE ON INNOVATIVE TECHNOLOGIES IN INTELLIGENT SYSTEMS AND INDUSTRIAL APPLICATIONS, 2009, : 171 - 176
  • [30] EMG SIGNAL DENOISING VIA BAYESIAN WAVELET SHRINKAGE BASED ON GARCH MODELING
    Amirmazlaghani, Maryam
    Amindavar, Hamidreza
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 469 - 472
12345