Comparison between some time-frequency analysis methods on electromyography (EMG) signal

被引：0
|
作者：
Weiderpass, H. A. [1 ]
Pachi, C. G. F. [2 ]
Yamamoto, J. F. [2 ]
Sacco, I. C. N. [3 ]
Hamamoto, A. [3 ]
Onodera, A. N. [3 ]
机构：
[1] Santo Andre Fdn, Sao Paulo, Brazil
[2] ANSP, Sao Paulo, Brazil
[3] Univ Sao Paulo, Dept Phys Therapy Speech & Occupat Therapy, Sch Med, Sao Paulo, Brazil
来源：
COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING: VIPIMAGE 2011 | 2012年
关键词：
PRINCIPAL COMPONENT ANALYSIS; DIABETIC-NEUROPATHY; WAVELET TRANSFORM; FOOT ULCERATION; GAIT; KERNEL;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
There are several researches about an efficient method for the analysis and classification of electromyography (EMG) signals and using of wavelets is a promising approach for determining the spectral distribution of the signal intensity at any time. This study compared some time-frequency analysis methods for investigating the EMG activity of the thigh and calf muscles during gait among non-diabetic subjects and diabetic neuropathic patients and, using Adaptive Optimal Kernel (AOK) and Discrete Wavelet Transform (DWT) it also attempted to verify if there are EMG alterations in lower limbs muscles during gait related to the diabetic neuropathy.
引用
收藏
页码：393 / 398
页数：6
相关论文
共 50 条
  • [1] Comparison of Methods for Time-frequency Analysis of Oil Whip Vibration Signal
    Ling Xiang
    Hao Sun
    MECHATRONICS AND INTELLIGENT MATERIALS, PTS 1 AND 2, 2011, 211-212 : 983 - 987
  • [2] Comparison and Application of Time-Frequency Analysis Methods for Nonstationary Signal Processing
    Zhu, Qiang
    Wang, Yansong
    Shen, Gongqi
    ADVANCED RESEARCH ON COMPUTER EDUCATION, SIMULATION AND MODELING, PT I, 2011, 175 : 286 - 291
  • [3] Time-frequency analysis of the EMG signal: Investigation on heel strike transient
    Verdini, F
    Leo, T
    Benedetti, MG
    Catani, F
    Giannini, S
    ELECTROPHYSIOLOGY AND KINESIOLOGY, 2000, : 271 - 276
  • [4] Time-frequency methods for signal analysis in wind turbines
    Kalista, Karel
    Liska, Jindrich
    12TH EUROPEAN WORKSHOP ON ADVANCED CONTROL AND DIAGNOSIS (ACD 2015), 2015, 659
  • [5] Time-frequency signal analysis: Issues and alternative methods
    Marple, SL
    PROCEEDINGS OF THE IEEE-SP INTERNATIONAL SYMPOSIUM ON TIME-FREQUENCY AND TIME-SCALE ANALYSIS, 1998, : 329 - 332
  • [6] ANALYSIS OF THE VIBRATION SIGNAL USING TIME-FREQUENCY METHODS
    Soda, Josko
    Vujovic, Igor
    Kulenovic, Zlatan
    TRANSACTIONS OF FAMENA, 2015, 39 (03) : 23 - 34
  • [7] Assessment of muscle load and fatigue with the usage of frequency and time-frequency analysis of the EMG signal
    Bartuzi, Pawel
    Roman-Liu, Danuta
    ACTA OF BIOENGINEERING AND BIOMECHANICS, 2014, 16 (02) : 31 - 39
  • [8] Analysis of Some EMG Signals Using Multiresolution and Time-Frequency Techniques
    Matei, Radu
    Matei, Daniela
    2020 INTERNATIONAL CONFERENCE ON E-HEALTH AND BIOENGINEERING (EHB), 2020,
  • [9] Electromyography Signal Analysis and Classification using Time-Frequency Representations and Deep Learning
    Elbeshbeshy, Ahmed M.
    Rushdi, Muhammad A.
    El-Metwally, Shereen M.
    2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), 2021, : 661 - 664
  • [10] Chirp Signal Time-Frequency analysis Characteristic Comparison
    Zhou, Jing Lei
    Wang, Fan
    VIBRATION, STRUCTURAL ENGINEERING AND MEASUREMENT II, PTS 1-3, 2012, 226-228 : 568 - 571
12345