Literature DB >> 7666682

Advances in processing of surface myoelectric signals: Part 1.

R Merletti1, L R Lo Conte.   

Abstract

During sustained voluntary or electrically elicited muscle contractions the surface myoelectric signal is nonstationary and it undergoes progressive changes reflecting the modifications of the motor unit action potentials and their propagation velocity. In particular, during sustained electrical stimulation, the evoked signals show progressive amplitude, time scaling and shape modification. The quantitative evaluation of these changes is important for non-invasive muscle characterisation and may be performed in either the time or frequency domain using parametric and nonparametric spectral analysis as well as alternative methodologies. The paper introduces the detection techniques, reviews and compares the methods of spectral estimation based on FFT and autoregressive models, and discusses their applications and limitations in extracting information from the surface myoelectric signal with particular regard to myoelectric manifestations of localised muscle fatigue during sustained contractions.

Entities:  

Mesh:

Year:  1995        PMID: 7666682     DOI: 10.1007/bf02510518

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  27 in total

1.  Biomedical signal processing (in four parts). Part 3. The power spectrum and coherence function.

Authors:  R E Challis; R I Kitney
Journal:  Med Biol Eng Comput       Date:  1991-05       Impact factor: 2.602

2.  Associations between spectral representation of the surface electromyogram and fiber type distribution and size in human masseter muscle.

Authors:  J R Westbury; T G Shaughnessy
Journal:  Electromyogr Clin Neurophysiol       Date:  1987 Oct-Nov

3.  Surface EMG spectral changes with muscle length.

Authors:  G F Inbar; J Allin; H Kranz
Journal:  Med Biol Eng Comput       Date:  1987-11       Impact factor: 2.602

4.  Autoregressive modeling of surface EMG and its spectrum with application to fatigue.

Authors:  O Paiss; G F Inbar
Journal:  IEEE Trans Biomed Eng       Date:  1987-10       Impact factor: 4.538

5.  Factors determining the frequency content of the electromyogram.

Authors:  H Kranz; A M Williams; J Cassell; D J Caddy; R B Silberstein
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1983-08

6.  A note on the noninvasive estimation of muscle fiber conduction velocity.

Authors:  H Broman; G Bilotto; C J De Luca
Journal:  IEEE Trans Biomed Eng       Date:  1985-05       Impact factor: 4.538

7.  Cardiac assistance with electrically stimulated skeletal muscle.

Authors:  S F Badylak; L Stevens; W Janas; M H Gray; L A Geddes; W D Voorhees
Journal:  Med Biol Eng Comput       Date:  1989-03       Impact factor: 2.602

8.  Myoelectric manifestations of fatigue in voluntary and electrically elicited contractions.

Authors:  R Merletti; M Knaflitz; C J De Luca
Journal:  J Appl Physiol (1985)       Date:  1990-11

9.  Power spectral analysis of electromyogram and compound muscle action potential during muscle fatigue and recovery.

Authors:  K R Mills
Journal:  J Physiol       Date:  1982-05       Impact factor: 5.182

Review 10.  Myoelectrical manifestations of localized muscular fatigue in humans.

Authors:  C J De Luca
Journal:  Crit Rev Biomed Eng       Date:  1984
View more
  14 in total

1.  Estimation of surface electromyogram spectral alteration using reduced-order autoregressive model.

Authors:  S Karlsson; J Yu
Journal:  Med Biol Eng Comput       Date:  2000-09       Impact factor: 2.602

2.  Influence of estimators of spectral density on the analysis of electromyographic and vibromyographic signals.

Authors:  M A Mañanas; R Jané; J A Fiz; J Morera; P Caminal
Journal:  Med Biol Eng Comput       Date:  2002-01       Impact factor: 2.602

3.  Single motor unit analysis from spatially filtered surface electromyogram signals. Part 2: conduction velocity estimation.

Authors:  E Schulte; D Farina; G Rau; R Merletti; C Disselhorst-Klug
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

4.  Effects of supramaximal exercise on the electromyographic signal.

Authors:  A M Hunter; A St Clair Gibson; M I Lambert; L Nobbs; T D Noakes
Journal:  Br J Sports Med       Date:  2003-08       Impact factor: 13.800

Review 5.  Methods for estimating muscle fibre conduction velocity from surface electromyographic signals.

Authors:  D Farina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

6.  Influence of mental workload on muscle endurance, fatigue, and recovery during intermittent static work.

Authors:  Ranjana K Mehta; Michael J Agnew
Journal:  Eur J Appl Physiol       Date:  2011-12-06       Impact factor: 3.078

7.  Differences in the force/endurance relationship between young and older men.

Authors:  Ilenia Bazzucchi; Marco Marchetti; Alessandro Rosponi; Luigi Fattorini; Vincenzo Castellano; Paola Sbriccoli; Francesco Felici
Journal:  Eur J Appl Physiol       Date:  2004-12-01       Impact factor: 3.078

8.  Effect of lower limb massage on electromyography and force production of the knee extensors.

Authors:  A M Hunter; J M Watt; V Watt; S D R Galloway
Journal:  Br J Sports Med       Date:  2006-02       Impact factor: 13.800

9.  Effects of altered muscle temperature on neuromuscular properties in young and older women.

Authors:  Susan Dewhurst; Andrea Macaluso; Leonardo Gizzi; Francesco Felici; Dario Farina; Giuseppe De Vito
Journal:  Eur J Appl Physiol       Date:  2009-10-15       Impact factor: 3.078

10.  Advances in processing of surface myoelectric signals: Part 2.

Authors:  L R Lo Conte; R Merletti
Journal:  Med Biol Eng Comput       Date:  1995-05       Impact factor: 2.602

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.