Browsing by Subject "Neuromuscular disorders"
Now showing items 1-10 of 10
-
Article
Analysis of neuromuscular disorders using statistical and entropy metrics on surface EMG
(2008)This paper introduces the surface electromyogram (EMG) classification system based on statistical and entropy metrics. The system is intended for diagnostic use and enables classification of examined subject as normal, ...
-
Article
Classification of neuromuscular disorders using features extracted in the wavelet domain of sEMG signals: a case study
(2017)The present study introduces a method for detecting possible neuropathy or myopathy cases of a subject based on surface electromyograms signals
-
Conference Object
Classification of surface electromyographic signals using AM-FM features
(2009)The objective of this study was to evaluate the usefulness of AM-FM features extracted from surface electro myographic (SEMG) signals for the assessment of neuromuscular disorders at different force levels. SEMG signals ...
-
Conference Object
Comparison of AM-FM features with standard features for the classification of surface electromyographic signals
(2010)In this work AM-FM features extracted from surface electromyographic (SEMG) signals were compared with standard time and frequency domain features, for the classification of neuromuscular disorders at different force levels. ...
-
Conference Object
Fast wavelet transform in motor unit action potential analysis
(Publ by IEEE, 1993)Wavelet analysis is a new method for analyzing time and frequency contents of signals. We present the Fast Wavelet Transform (FWT) implemented using B-wavelets and non-circular convolutions in the analysis of Motor Unit ...
-
Article
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 ...
-
Article
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 ...
-
Article
Multi-scale AM-FM analysis for the classification of surface electromyographic signals
(2012)In this work, multi-scale amplitude modulation-frequency modulation (AM-FM) features are extracted from surface electromyographic (SEMG) signals and they are used for the classification of neuromuscular disorders. The ...
-
Article
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 ...
-
Article
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 ...