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Sensitivity analysis of artificial neural networks: Case study in clinical electromyography
(Publ by IEEE, 1991)
The usefulness of artificial neural networks (ANNs) trained with the momentum backpropagation and the conjugate gradient backpropagation (CGBP) learning algorithms in the classification of electromyography (EMG) data has ...
Autoregressive and cepstral analyses of motor unit action potentials
(1999)
Quantitative electromyographic signal analysis in the time domain for motor unit action potential (MUAP) classification and disease identification has been well documented over recent years. Considerable work has also been ...
Classification performance of motor unit action potential features
(IEEE, 1994)
The objective of this study is to examine the classification performance of the following motor unit action potential (MUAP) feature sets: i) time domain measures, ii) frequency measures, iii) autoregressive coefficients ...
Bispectral analysis of EMG at different levels of force
(Publ by IEEE, 1993)
Bispectral analysis suggests that EMG is highly non-Gaussian at force level (FL) = 10% of maximum voluntary contraction
Medical imaging with neural networks
(IEEE, 1994)
The objective of this paper is to provide an overview of the recent developments in the use of artificial neural networks in medical imaging. The areas of medical imaging that are covered include: ultrasound, magnetic ...
Genetics-based machine learning for the assessment of certain neuromuscular disorders
(1996)
Clinical electromyography (EMG) provides useful information for the diagnosis of neuromuscular disorders. The utility of artificial neural networks (ANN's) in classifying EMG data trained with backpropagation or Kohonen's ...
Time-scale analysis of motor unit action potentials
(1999)
Quantitative analysis in clinical electromyography (EMG) is very desirable because it allows a more standardized, sensitive and specific evaluation of the neurophysiological findings, especially for the assessment of ...
Wavelet analysis of motor unit action potentials
(IEEE, 1996)
In this study the usefulness of the wavelet transforms (WT) Daubechies with 4 and 20 coefficients, Chui, and Battle-Lemarie in analyzing MUAPs recorded from normal subjects and subjects suffering with motor neuron disease ...
A morphological analysis of the macro motor unit potential
(1999)
The technique of macro EMG is used to investigate the motor unit architecture in a number of pathological conditions. Amplitude and area are the most commonly used criteria, but these parameters alone are not sufficient ...
Non-stationary texture segmentation using an AM-FM model
(1997)
We present a novel method for segmenting non-stationary textures. Our approach uses a multidimensional AM-FM representation for the texture, and provides the FM features to an SOFM-LVQ neural network system that performs ...