• Conference Object  

      Bispectral analysis of EMG at different levels of force 

      Pattichis, Constantinos S.; Constantinou, Renos; Spyrou, S.; Schizas, Christos N.; Middleton, Lefkos T. (Publ by IEEE, 1993)
      Bispectral analysis suggests that EMG is highly non-Gaussian at force level (FL) = 10% of maximum voluntary contraction
    • Conference Object  

      Fast wavelet transform in motor unit action potential analysis 

      Pattichis, Marios S.; Pattichis, Constantinos S. (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 ...
    • Conference Object  

      Model based decomposition of Muaps into their constituent Sfeaps 

      Xyda, M. G.; Pattichis, Constantinos S.; Kaplanis, P.; Christodoulou, Chris C.; Zazula, D. (Springer Verlag, 2007)
      The motor unit action potential (MUAP) represents the spatial and temporal summation of single fibre extracellular action potentials (SFEAPS) generated from the same motor unit. In this study, a model based decomposition ...
    • Article  

      Unsupervided pattern recognition for the classification of EMG signals 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S. (1999)
      The shapes and firing rates of motor unit action potentials (MUAP's) in an electromyographic (EMG) signal provide an important source of information for the diagnosis of neuromuscular disorders. In order to extract this ...
    • Conference Object  

      Wavelet analysis of motor unit action potentials 

      Pattichis, Constantinos S.; Pattichis, Marios S.; Schizas, Christos N. (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 ...