Browsing by Subject "Electromyography"

Now showing items 1-20 of 20

    • 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  

      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  

      Bispectral analysis of surface EMG 

      Kaplanis, P. A.; Pattichis, Constantinos S.; Hadjileontiadis, L. J.; Panas, S. M. (IEEE, 2000)
      The objective of this ongoing study is to investigate whether or not Bispectral analysis (BS), a particular form of higher order spectra (HOS), may be utilized for analyzing the surface electromyographic signal (SEMG). The ...
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      Classification performance of motor unit action potential features 

      Pattichis, Constantinos S.; Elia, Avraam; Schizas, Christos N.; Middleton, Lefkos T. (IEEE, 1994)
      The objective of this study is to examine the classification performance of the following motor unit action potential (MUAP) feature sets: i) time domain measures, ii) frequency measures, iii) autoregressive coefficients ...
    • Article  

      Efficient training of neural network models in classification of electromyographic data 

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

      Facial reactions to violent and comedy films: Association with callous–unemotional traits and impulsive aggression 

      Fanti, Kostas A.; Kyranides, Melina-Nicole; Panayiotou, Georgia (Routledge, 2017)
      The current study adds to prior research by investigating specific (happiness, sadness, surprise, disgust, anger and fear) and general (corrugator and zygomatic muscle activity) facial reactions to violent and comedy films ...
    • Article  

      Genetics-based machine learning for the assessment of certain neuromuscular disorders 

      Pattichis, Constantinos S.; Schizas, Christos N. (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 ...
    • Conference Object  

      Hybrid neural network electromyographic system: Incorporating the WISARD net 

      Pattichis, Constantinos S.; Schizas, Christos N.; Sergiou, A.; Schnorrenberg, F. (IEEE, 1994)
      Clinical electromyography (EMG) provides useful information for the diagnosis of neuromuscular disorders. The utility of artificial neural networks trained with the backpropagation, the Kohonen's self-organizing feature ...
    • Conference Object  

      Influence of isometric voluntary contraction on time and frequency domain parameters of surface EMG 

      Kaplanis, P. A.; Pattichis, Constantinos S.; Roberts, C. V. (2002)
      The main objective of this paper was to investigate the effect of increase of isometric voluntary contraction (IVC) on surface EMG recorded from the Biceps Brachii (BB) muscle. Five different force levels (FL) were used: ...
    • 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 modular neural network decision support system in EMG diagnosis 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S.; Fincham, W. F. (1998)
      Motor unit action potentials (MUAPs) recorded during routine electromyographic (EMG) examination provide important information for the assessment of neuromuscular disorders. The objective of this study was to design, ...
    • 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 ...
    • Conference Object  

      New technique for the classification and decomposition of EMG signals 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S. (IEEE, 1995)
      The shapes and firing rates of motor unit action potentials (MUAPs) in an electromyographic (EMG) signal provide an important source of information for the diagnosis of neuromuscular disorders. In order to extract this ...
    • 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 ...
    • Conference Object  

      Towards a versatile Surface Electromyography classification system 

      Barmpakos, D.; Strimpakos, N.; Karkanis, S. A.; Pattichis, Constantinos S. (Springer Verlag, 2016)
      The use of sEMG signals for the movement classification plays an important role in various applications from robotics to effective prosthetic limbs control. The performance of the classification scheme is severely influenced ...
    • Article  

      Understanding heterogeneity in conduct disorder: A review of psychophysiological studies 

      Fanti, Kostas A. (Elsevier Ltd, 2016)
      The present review is concerned with the role of different physiological systems (e.g., skin conductance, heart rate, electromyography, and the eye-bling startle reflex) in understanding heterogeneity in conduct disorder ...
    • Article  

      Unemotional on all counts: Evidence of reduced affective responses in individuals with high callous-unemotional traits across emotion systems and valences 

      Fanti, Kostas A.; Panayiotou, Georgia; Lombardo, Michael V.; Kyranides, Melina-Nicole (Psychology Press Ltd, 2016)
      The current study aimed to identify atypical neurophysiological activity associated with deficient affective processing in individuals with high callous-unemotional traits (CU). Fifty-six participants (M age = 20.52; 46% ...
    • 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 ...