• Conference Object  

      Artificial neural net algorithms in classifying electromyographic signals 

      Schizas, Christos N.; Pattichis, Constantinos S.; Schofield, I. S.; Fawcett, P. R.; Middleton, Lefkos T. (Publ by IEE, 1989)
      The aim of this work is to examine how Artificial Neural Nets (ANN) can be used as a computerized method for electromyographic diagnosis. For this reason, a number of well defined neuromuscular disorders have been selected, ...
    • Article  

      Autoregressive and cepstral analyses of motor unit action potentials 

      Pattichis, Constantinos S.; Elia, Andreas G. (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 ...
    • Conference Object  

      Unsupervised learning in computer aided macroelectromyography 

      Schizas, Christos N.; Pattichis, Constantinos S.; Livesay, R. R.; Schofield, I. S.; Lazarou, K. X.; Middleton, Lefkos T. (Publ by IEEE, 1991)
      Normals and patients from three disorders have been selected for investigation: (1) motor neurone disease (MND)