Literature DB >> 18333405

The adaptive ARMA analysis of EMG signals.

Necaattin Barişçi1.   

Abstract

In this study, Adaptive auto regressive-moving average (A-ARMA) analysis of EMG signals recorded on the ulnar nerve region of the right hand in resting position was performed. A-ARMA method, especially in the calculation of the spectrums of stationary signals, is used for frequency analysis of signals, which give frequency response as sharp peaks and valleys. In this study, as the result of A-ARMA method analysis of EMG signals frequency-time domain, frequency spectrum curves (histogram curves) were obtained. As the images belonging to these histograms were evaluated, fibrillation potential widths of the muscle fibers of the ulnar nerve region of the people (material of the study) were examined. According to the degeneration degrees of the motor nerves, 22 people had myopathy, 43 had neuropathy, and 28 were normal.

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Year:  2008        PMID: 18333405     DOI: 10.1007/s10916-007-9106-8

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  15 in total

1.  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

2.  Noninvasive detection of coronary stenoses before and after angioplasty using eigenvector methods.

Authors:  M Akay; J L Semmlow; W Welkowitz; M D Bauer; J B Kostis
Journal:  IEEE Trans Biomed Eng       Date:  1990-11       Impact factor: 4.538

3.  Adaptive spectral analysis of cutaneous electrogastric signals using autoregressive moving average modelling.

Authors:  J Chen; J Vandewalle; W Sansen; G Vantrappen; J Janssens
Journal:  Med Biol Eng Comput       Date:  1990-11       Impact factor: 2.602

4.  The application of cepstral coefficients and maximum likelihood method in EMG pattern recognition.

Authors:  W J Kang; J R Shiu; C K Cheng; J S Lai; H W Tsao; T S Kuo
Journal:  IEEE Trans Biomed Eng       Date:  1995-08       Impact factor: 4.538

5.  EMG pattern analysis for patient-responsive control of FES in paraplegics for walker-supported walking.

Authors:  D Graupe
Journal:  IEEE Trans Biomed Eng       Date:  1989-07       Impact factor: 4.538

6.  Adaptive method for cancellation of respiratory artefact in electrogastric measurements.

Authors:  J Chen; J Vandewalle; W Sansen; G Vantrappen; J Janssens
Journal:  Med Biol Eng Comput       Date:  1989-01       Impact factor: 2.602

7.  Stochastic analysis of myoelectric temporal signatures for multifunctional single-site activation of prostheses and orthoses.

Authors:  D Graupe; J Salahi; D S Zhang
Journal:  J Biomed Eng       Date:  1985-01

8.  The design and use of a microcomputerized real-time muscle fatigue monitor based on the medial frequency shift in the electromyographic signal.

Authors:  R Seroussi; M H Krag; P Wilder; M H Pope
Journal:  IEEE Trans Biomed Eng       Date:  1989-02       Impact factor: 4.538

9.  Conduction velocity and EMG power spectrum changes in fatigue of sustained maximal efforts.

Authors:  B Bigland-Ritchie; E F Donovan; C S Roussos
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1981-11

10.  Noninvasive detection of coronary artery disease using parametric spectral analysis methods.

Authors:  J L Semmlow; M Akay; W Welkowitz
Journal:  IEEE Eng Med Biol Mag       Date:  1990
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  1 in total

1.  Time series modelling and forecasting of emergency department overcrowding.

Authors:  Farid Kadri; Fouzi Harrou; Sondès Chaabane; Christian Tahon
Journal:  J Med Syst       Date:  2014-07-23       Impact factor: 4.460

  1 in total

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