Literature DB >> 10527215

Time-frequency methods applied to muscle fatigue assessment during dynamic contractions.

M Knaflitz1, P Bonato.   

Abstract

This paper discusses the assessment of the electrical manifestations of muscle fatigue during dynamic contractions. In the past, the study of muscle fatigue was restricted to isometric constant force contractions because, in this contraction paradigm, the myoelectric signal may be considered as wide sense stationary over epochs lasting up to two or three seconds, and hence classic spectral estimation techniques may be applied. Recently, the availability of spectral estimation techniques specifically designed for nonstationary signal analysis made it possible to extend the employment of muscle fatigue assessment to cyclic dynamic contractions, thus increasing noticeably its possible clinical applications. After presenting the basics of time-frequency distributions, we introduce instantaneous spectral parameters well suited to tracking spectral changes due to muscle fatigue, discuss the issues of quasi-stationarity and quasi-cyclostationarity, and present different strategies of signal analysis to be utilized with cyclic dynamic contractions. We present preliminary results obtained by analyzing data collected from paraspinal muscles during repetitive lift movements, from the first dorsal interosseus during abduction-adduction movements of the index finger, and from knee flexors and extensors during isokinetic exercise. In conclusion, data herein reported demonstrate that the described techniques allow for evidencing the electrical manifestations of muscle fatigue in different paradigms of cyclic dynamic contractions. We believe that the extension of the objective assessment of the electrical manifestations of muscle fatigue from static to dynamic contractions may increase considerably the interest of researchers and clinicians and open new application fields, as ergonomics and sports medicine.

Entities:  

Mesh:

Year:  1999        PMID: 10527215     DOI: 10.1016/s1050-6411(99)00009-7

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  14 in total

1.  Influence of mechanical and metabolic strain on the oxygen consumption slow component during forward pulled running.

Authors:  Patrick Avogadro; Heikki Kyröläinen; Alain Belli
Journal:  Eur J Appl Physiol       Date:  2004-08-07       Impact factor: 3.078

2.  A note on time-frequency analysis of finger tapping.

Authors:  Wei Liu; Larry Forrester; Jill Whitall
Journal:  J Mot Behav       Date:  2006-01       Impact factor: 1.328

3.  Muscle fatigue in participants of indoor cycling.

Authors:  Ricardo de Melo Dos Santos; Flavio Costa E Costa; Thais Sepeda Saraiva; Bianca Callegari
Journal:  Muscles Ligaments Tendons J       Date:  2017-05-10

4.  The effect of operating time on surgeons' muscular fatigue.

Authors:  P S Slack; C J Coulson; X Ma; K Webster; D W Proops
Journal:  Ann R Coll Surg Engl       Date:  2008-11       Impact factor: 1.891

5.  The effects of nicotine exposure and PFC transection on the time-frequency distribution of VTA DA neurons' firing activities.

Authors:  Ting Y Chen; Die Zhang; Andrei Dragomir; Yasemin Akay; Metin Akay
Journal:  Med Biol Eng Comput       Date:  2011-03-30       Impact factor: 2.602

Review 6.  The extraction of neural strategies from the surface EMG: an update.

Authors:  Dario Farina; Roberto Merletti; Roger M Enoka
Journal:  J Appl Physiol (1985)       Date:  2014-10-02

7.  The application of Hilbert-Huang transform in the analysis of muscle fatigue during cyclic dynamic contractions.

Authors:  Vedran Srhoj-Egekher; Mario Cifrek; Vladimir Medved
Journal:  Med Biol Eng Comput       Date:  2010-12-09       Impact factor: 2.602

8.  Evaluation of muscle fatigue during 100-m front crawl.

Authors:  Igor Stirn; Tomaz Jarm; Venceslav Kapus; Vojko Strojnik
Journal:  Eur J Appl Physiol       Date:  2010-09-08       Impact factor: 3.078

9.  Changes in mechanical work during severe exhausting running.

Authors:  Patrick Avogadro; Ales Dolenec; Alain Belli
Journal:  Eur J Appl Physiol       Date:  2003-07-09       Impact factor: 3.078

10.  Human facial neural activities and gesture recognition for machine-interfacing applications.

Authors:  M Hamedi; Sh-Hussain Salleh; T S Tan; K Ismail; J Ali; C Dee-Uam; C Pavaganun; P P Yupapin
Journal:  Int J Nanomedicine       Date:  2011-12-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.