Literature DB >> 7198034

Frequency analysis of surface EMG to evaluation of muscle fatigue.

T Sadoyama, H Miyano.   

Abstract

A theory concerning the spectral density of surface electromyogram (EMG) in isometric contraction is described and herein, a conduction velocity measure, which was derived from a surface EMG model, is suggested. In order to confirm the validity of this measure, the spectral modification with respect to muscle fatigue is studied experimentally. The EMG signals were obtained from the biceps brachii and the rectus femoris in four subjects. The spectral modification shifted to a lower frequency as fatigue developed. The conduction velocity measure decreased linearly in both the biceps brachii and rectus femoris, but this tendency was more pronounced in the biceps. It is suggested that the spectral shift was concerned with conduction velocity of action potential along the muscle fibres. From these experimental results, we believe that we are justified in claiming that our conduction velocity measure is a useful index to estimate motor function.

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Year:  1981        PMID: 7198034     DOI: 10.1007/bf00422469

Source DB:  PubMed          Journal:  Eur J Appl Physiol Occup Physiol        ISSN: 0301-5548


  17 in total

1.  Derivation of some parameters of myoelectric signals recorded during sustained constant force isometric contractions.

Authors:  C J De Luca; E J van Dyk
Journal:  Biophys J       Date:  1975-12       Impact factor: 4.033

2.  AUTO- AND CROSS-CORRELATION ANALYSIS OF THE ELECTRICAL ACTIVITY OF MUSCLES.

Authors:  R S PERSON; L N MISHIN
Journal:  Med Electron Biol Eng       Date:  1964-04

3.  The rhythmical activity of groups of motor units in the voluntary contraction of muscle.

Authors:  O C LIPPOLD; J W REDFEARN; J VUCO
Journal:  J Physiol       Date:  1957-08-06       Impact factor: 5.182

4.  Signal characteristics of EMG during fatigue.

Authors:  J H Viitasalo; P V Komi
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1977-09-16

5.  Statistics of the myoelectric signal from monopolar and bypolar electrodes.

Authors:  P A Parker; R N Scott
Journal:  Med Biol Eng       Date:  1973-09

6.  Dynamic spectrum analysis of myo-potentials and with special reference to muscle fatigue.

Authors:  R Kadefors; E Kaiser; I Petersén
Journal:  Electromyography       Date:  1968 Jan-Apr

7.  An application of signal processing techniques to the study of myoelectric signals.

Authors:  E Kwatny; D H Thomas; H G Kwatny
Journal:  IEEE Trans Biomed Eng       Date:  1970-10       Impact factor: 4.538

8.  Surface electromyography during sustained isometric contractions.

Authors:  A J Lloyd
Journal:  J Appl Physiol       Date:  1971-05       Impact factor: 3.531

9.  An electromyographic index for localized muscle fatigue.

Authors:  L Lindström; R Kadefors; I Petersén
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1977-10

10.  Changes in firing rate of human motor units during linearly changing voluntary contractions.

Authors:  H S Milner-Brown; R B Stein; R Yemm
Journal:  J Physiol       Date:  1973-04       Impact factor: 5.182

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  10 in total

1.  Advanced biofeedback from surface electromyography signals using fuzzy system.

Authors:  Afshin Samani; Andreas Holtermann; Karen Søgaard; Pascal Madeleine
Journal:  Med Biol Eng Comput       Date:  2010-06-26       Impact factor: 2.602

2.  Fibre conduction velocity and fibre composition in human vastus lateralis.

Authors:  T Sadoyama; T Masuda; H Miyata; S Katsuta
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1988

3.  Muscle fibre conduction velocity, mean power frequency, mean EMG voltage and force during submaximal fatiguing contractions of human quadriceps.

Authors:  L Arendt-Nielsen; K R Mills
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1988

4.  Influence of motor unit firing statistics on the median frequency of the EMG power spectrum.

Authors:  A van Boxtel; L R Schomaker
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1984

5.  Estimation of Handgrip Force from SEMG Based on Wavelet Scale Selection.

Authors:  Kai Wang; Xianmin Zhang; Jun Ota; Yanjiang Huang
Journal:  Sensors (Basel)       Date:  2018-02-24       Impact factor: 3.576

6.  Towards Detecting Biceps Muscle Fatigue in Gym Activity Using Wearables.

Authors:  Mohamed Elshafei; Emad Shihab
Journal:  Sensors (Basel)       Date:  2021-01-23       Impact factor: 3.576

7.  On the Impact of Biceps Muscle Fatigue in Human Activity Recognition.

Authors:  Mohamed Elshafei; Diego Elias Costa; Emad Shihab
Journal:  Sensors (Basel)       Date:  2021-02-04       Impact factor: 3.576

8.  Ultrasound Echogenicity as an Indicator of Muscle Fatigue during Functional Electrical Stimulation.

Authors:  Qiang Zhang; Ashwin Iyer; Krysten Lambeth; Kang Kim; Nitin Sharma
Journal:  Sensors (Basel)       Date:  2022-01-03       Impact factor: 3.576

9.  Inkjet-printed fully customizable and low-cost electrodes matrix for gesture recognition.

Authors:  Giulio Rosati; Giulia Cisotto; Daniele Sili; Luca Compagnucci; Chiara De Giorgi; Enea Francesco Pavone; Alessandro Paccagnella; Viviana Betti
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

10.  Proposed Fatigue Index for the Objective Detection of Muscle Fatigue Using Surface Electromyography and a Double-Step Binary Classifier.

Authors:  Hassan M Qassim; Wan Zuha Wan Hasan; Hafiz R Ramli; Hazreen Haizi Harith; Liyana Najwa Inche Mat; Luthffi Idzhar Ismail
Journal:  Sensors (Basel)       Date:  2022-02-28       Impact factor: 3.576

  10 in total

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