A Nonstationary Model for the Electromyogram

  title={A Nonstationary Model for the Electromyogram},
  author={Ed Shwedyk and R. Balasubramanian and Robert N. Scott},
  journal={IEEE Transactions on Biomedical Engineering},
A theoretical model of the electromyographic (EMG) signal has been developed. In the model, the neural pulse train inputs were considered to be point processes which passed through linear, time-invariant systems that represented the respective motor unit action potential. The outputs were then summed to produce the EMG. It was assumed, that in the production of muscle force, the controlled parameter was the number of active motor units, n(t). The model then showed that the EMG can be… 

Surface electromyogram signal modelling

  • K. McGill
  • Biology
    Medical and Biological Engineering and Computing
  • 2006
The paper reviews the fundamental components of stochastic and motorunit-based models of the surface electromyogram (SEMG) and the relationship between SEMG and force during natural dynamic movements is much too complex to model in terms of single motor units.

Power Spectrum Analysis

A muscle-structured stimulation model based on anatomical and physiological data is produced and the stimulation results suggested that the behaviour of the third parameter is related to the number of active motor units at the shallow layer of a muscle.

Spectrum of the nonstationary electromyographic signal modelled with integral pulse frequency modulation and its application to estimating neural drive information.

  • Ning JiangP. ParkerK. Englehart
  • Engineering
    Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
  • 2009

Modeling and Simulation of EMG Signal and H-Reflex in Healthy Human Subject

The purpose was to model the recorded EMG from the FCR muscle in response to both the electrical stimulation and the brain commands during motor imagery, and to capture the qualitative behavior of the H-reflex and how physiological variables change its waveform.

Investigation on parametric analysis of dynamic EMG signals by a muscle-structured simulation model

The authors estimated k parameters up to the fifth order for the surface EMG signals of a masseter muscle during rapid open-close movement of the lower jaw, a ballistic contraction, and fatigue and suggested that the behavior of the third parameter is related to the number of active motor units at the shallow layer of a muscle.

Multi-Channel EMG Processing

A review of some recent progress in improving the fidelity of electromyogram-based estimates of muscle mechanical activity is presented. Initially, theoretical techniques and experimental

Simulation of electromyographic signals.

  • D. Stashuk
  • Computer Science
    Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
  • 1993

A mathematical model of myoelectric signals obtained during locomotion

An analytical expression for the myoelectric signal was derived using the integral pulse frequency and amplitude modulation (IPFAM) approach. The results indicate that, in the frequency domain, the

Sequential Multistate EMG Signal Processor

Two sequential processors are developed for the EMG signal and it is shown that compared to an optimal Bayes receiver the sequential processor, for a given efror probability, requires, on the average, approximately half the number of samples.



Functional Separation of EMG Signals via ARMA Identification Methods for Prosthesis Control Purposes

  • D. GraupeW. Cline
  • Computer Science
    IEEE Transactions on Systems, Man, and Cybernetics
  • 1975
An approach to the recognition problem ofMultifunctional control of artificial limbs via electromyographic (EMG) actuation is given in terms of deriving a fast parametric-recognition algorithm whereby the autoregressive-moving-average (ARMA) parameters and the Kalman filter parameters of the EMG time series are identified.

A signal-to-noise investigation of nonlinear electromyographic processors.

A general class of nonlinear electromyographic (EMG) processors has been evaluated for their signal-to-noise ratio (SNR) properties and versions in which the smoothing filter is followed by an element with the inverse detector characteristics were also evaluated.

Muscular activity pattern for skilled performance and during learning of a horizontal bar exercise.

Changing patterns revealed by the recorded electromyograms of two twelve-year-old schoolboys during a three-month period while the exercise was learned were studied and compared with the pattern revealed by a trained gymnast.

Analysis, transmission, and filtering of signals

A new book enPDFd analysis transmission and filtering of signals to read, where some books are fully read in a week and the obligation to support reading is supported.

Clinical electromyography in dentistry.

  • E. Møller
  • Medicine
    International dental journal
  • 1969

Excitation and Contraction of Muscle," Best & Taylor's Physiological Basis of Medical Practice, 9th Ed

  • 1973

An Analysis of SurfaceDetected EMG as AmplitudeModulated Noise and Logarithmic Detection

  • Inter . Conf . on Med . Biol . Eng .
  • 1969