Analysis of myoelectric signals recorded during dynamic contractions - A time-frequency approach to assessing muscle fatigue

被引：95
|
作者：
Bonato, P [1 ]
Gagliati, G [1 ]
Knaflitz, M [1 ]
机构：
[1] POLITECN TORINO, DIPARTIMENTO ELETTRON, I-10129 TURIN, ITALY
来源：
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 1996年 / 15卷 / 06期
关键词：
D O I：
10.1109/51.544517
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The various theoretical considerations that justify the choice of specific time-frequency transforms for processing nonstationary myoelectric signals as a method of studying muscle fatigue prior to the failure point are presented. Five different time-frequency transforms were applied, namely, the Wigner-Ville, the smoothed Wigner-Ville, the Cone kernel, the reduced interference, and the Choi-Williams. Preliminary results obtained by applying these techniques to computer-synthesized realizations of stochastic processes, as well as to real signals detected during different types of healthy human volunteers are presented.
引用
收藏
页码：102 / 111
页数：10
相关论文
共 50 条
  • [1] Time-frequency parameters of the surface myoelectric signal for assessing muscle fatigue during cyclic dynamic contractions
    Bonato, P
    Roy, SH
    Knaflitz, M
    De Luca, CJ
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2001, 48 (07) : 745 - 753
  • [2] Time-frequency analysis of myoelectric signals during dynamic contractions: A comparative study
    Karlsson, S
    Yu, J
    Akay, M
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2000, 47 (02) : 228 - 238
  • [3] Time-frequency methods applied to muscle fatigue assessment during dynamic contractions
    Knaflitz, M
    Bonato, P
    [J]. JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 1999, 9 (05) : 337 - 350
  • [4] Time-frequency analysis of surface myoelectric signals during athletic movement - Studying muscle activation and fatigue during propulsion of a racing wheelchair
    Balestra, G
    Frassinelli, S
    Knaflitz, M
    Molinari, F
    [J]. IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 2001, 20 (06): : 106 - 115
  • [5] Examining the mean frequency of myoelectric signals produced by dynamic muscle contractions
    MacIsaac, DT
    Parker, PA
    Scott, RN
    [J]. PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 20, PTS 1-6: BIOMEDICAL ENGINEERING TOWARDS THE YEAR 2000 AND BEYOND, 1998, 20 : 2650 - 2653
  • [6] A Time-Frequency Approach for the Assessment of Dynamic Muscle Co-contractions
    Strazza, Annachiara
    Verdini, Federica
    Mengarelli, Alessandro
    Cardarelli, Stefano
    Burattini, Laura
    Fioretti, Sandro
    Di Nardo, Francesco
    [J]. WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 2, 2019, 68 (02): : 223 - 226
  • [7] Time-frequency analysis and estimation of muscle fiber conduction velocity from surface EMG signals during explosive dynamic contractions
    Merlo, E
    Pozzo, M
    Antonutto, G
    di Prampero, PE
    Merletti, R
    Farina, D
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2005, 142 (02) : 267 - 274
  • [8] Analyzing surface myoelectric signals recorded during isokinetic contractions
    Karlsson, JS
    Gerdle, B
    Akay, M
    [J]. IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 2001, 20 (06): : 97 - 105
  • [9] Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions
    Wang Gang
    Ren Xiao-mei
    Li Lei
    Wang Zhi-zhong
    [J]. JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2007, 8 (06): : 910 - 915
  • [10] Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions
    Gang Wang
    Xiao-mei Ren
    Lei Li
    Zhi-zhong Wang
    [J]. Journal of Zhejiang University-SCIENCE A, 2007, 8 : 910 - 915
12345