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

页码：157 / 167

页数：11

共 50 条

[1] Denoising on Wavelet Compromise Threshold Algorithm for Robust Speech Recognition
Liu Xuefei
Hu Chunhai
[J]. PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOL. 3, 2008, : 1718 - 1721
[2] Pattern Recognition with surface EMG Signal based Wavelet Transformation
Sahin, Ugur
Sahin, Ferat
[J]. PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2012, : 303 - 308
[3] A Robust Gesture Recognition Algorithm Based on Surface EMG
Lin, Ke
Wu, Chaohua
Huang, Xiaoshan
Ding, Qiang
Gao, Xiaorong
[J]. 2015 SEVENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2015, : 131 - 136
[4] A robust denoising algorithm based on discrete wavelet transform (DWT)
Ma, JF
Wang, HK
[J]. ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3, 2003, : 474 - 477
[5] Wavelet-based denoising for robust feature extraction for speech recognition
Farooq, O
Datta, S
[J]. ELECTRONICS LETTERS, 2003, 39 (01) : 163 - 165
[6] Wavelet-based denoising for EEG-based pattern recognition systems
Nguyen, Binh
Ma, Wanli
Tran, Dat
Chung, Younjin
[J]. 2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2020, : 1249 - 1256
[7] Optimization of wavelet- and curvelet-based denoising algorithms by multivariate SURE and GCV
Mortezanejad, R.
Gholami, A.
[J]. JOURNAL OF GEOPHYSICS AND ENGINEERING, 2016, 13 (03) : 378 - 390
[8] Channel pattern recognition based on wavelet clustering algorithm
Jiang Baichen
Zhou Wei
Guan Jian
Jin Jialong
[J]. 2020 INTERNATIONAL CONFERENCE ON IMAGE, VIDEO PROCESSING AND ARTIFICIAL INTELLIGENCE, 2020, 11584
[9] A Study on Stock Graph Recognition Based on Wavelet Denoising and DTW Algorithm
Luo, Ji Wei
[J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
[10] Arm EMG Wavelet-Based Denoising System
Gradolewski, Dawid
Tojza, Piotr M.
Jaworski, Jacek
Ambroziak, Dominik
Redlarski, Grzegorz
Krawczuk, Marek
[J]. MECHATRONICS: IDEAS FOR INDUSTRIAL APPLICATIONS, 2015, 317 : 289 - 296

← 1 2 3 4 5 →