• Article  

      Efficient training of neural network models in classification of electromyographic data 

      Pattichis, Constantinos S.; Charalambous, Chris; Middleton, Lefkos T. (1995)
    • Article  

      FOXO3a is broadly neuroprotective in vitro and in vivo against insults implicated in motor neuron diseases 

      Mojsilovic-Petrovic, J.; Nedelsky, N.; Boccitto, M.; Mano, I.; Georgiades, Savvas N.; Zhou, W.; Liu, Y.; Neve, R. L.; Taylor, J. P.; Driscoll, M.; Clardy, J.; Merry, D.; Kalb, R. G. (2009)
      Aging is a risk factor for the development of adult-onset neurodegenerative diseases. Although some of the molecular pathways regulating longevity and stress resistance in lower organisms are defined (i.e., those activating ...
    • Article  

      Learning systems in biosignal analysis 

      Schizas, Christos N.; Pattichis, Constantinos S. (1997)
      In biosignal analysis, the utility of artificial neural networks (ANN) in classifying electromyographic (EMG) data trained with the momentum back propagation algorithm has recently been demonstrated. In the current study, ...
    • Article  

      A morphological analysis of the macro motor unit potential 

      Pattichis, Constantinos S.; Schofield, I. S.; Fawcett, P. (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 ...
    • Article  

      Neural Network Models in EMG Diagnosis 

      Pattichis, Constantinos S.; Schizas, Christos N.; Middleton, Lefkos T. (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 ...
    • Article  

      Time-scale analysis of motor unit action potentials 

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