Browsing by Subject "neuromuscular disease"
Now showing items 1-7 of 7
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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 ...
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Medical diagnostic systems: A case for neural networks
(1994)Recent advances in computer technology offer to the medical profession specialized tools for gathering medical data, processing power, as well as fast storing and retrieving capabilities. Artificial intelligence (AI), an ...
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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 ...
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Multiscale entropy-based approach to automated surface EMG classification of neuromuscular disorders
(2010)We introduce a novel method for an automatic classification of subjects to those with or without neuromuscular disorders. This method is based on multiscale entropy of recorded surface electromyograms (sEMGs) and support ...
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Neural Network Models in EMG Diagnosis
(1995)In the past years, several computer-aided quantitative motor unit action potential (MUAP) techniques were reported. It is now possible to add to these techniques the capability of automated medical diagnosis so that all ...
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Surface EMG analysis on normal subjects based on isometric voluntary contraction
(2009)The objective of this study was to compute reference SEMG values for normal subjects of 13 parameters extracted in the time, frequency and bispectrum domain, from the Biceps Brachii (BB) muscle generated under isometric ...