• 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
    • Article  

      Brain metastasis of unknown primary: A diagnostic and therapeutic dilemma 

      Polyzoidis, K. S.; Miliaras, G.; Pavlidis, Nicholas (2005)
      The diagnosis of a brain metastasis is usually made during the routine follow up examinations of patients with known cancer, who are under the care of oncology departments. The involvement of the neurosurgeon depends on ...
    • Conference Object  

      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 ...
    • Conference Object  

      Evaluation metrics of upper extremities for people with neurological disorders: An energy based approach 

      Ilia, T.; Louca, Loucas S. (American Society of Mechanical Engineers, 2017)
      Various neurological disorders, like Parkinson's disease, Multiple Sclerosis, Huntington's disease and Stroke, affect millions of people worldwide. Tremor that is a result of these disorders affects the performance of many ...
    • 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 ...
    • 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  

      On the firing variability of the integrate-and-fire neurons with partial reset in the presence of inhibition 

      Christodoulou, Chris C. (2002)
      It has been reported (Phys. Rev. Lett. 82 (1999) 4731) that the firing variability of integrate-and-fire (I&F) neurons is strongly dependent on the level of inhibitory input unlike the Hodgkin-Huxley and FitzHugh-Nagumo ...
    • Article  

      Robotic rehabilitation of people with multiple sclerosis with the use of a haptic nine-hole pegboard test 

      Xydas, E. G.; Louca, Loucas S. (2012)
      Multiple Sclerosis (MS) is a complex neurological disease that destroys the myelin sheath of the nerves, consequently affecting the motor control ability in numerous ways. It has been shown that people with MS have the ...
    • Article  

      A spiking neuron model: Applications and learning 

      Christodoulou, Chris C.; Bugmann, G.; Clarkson, T. G. (2002)
      This paper presents a biologically inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the model as well as its applications in Computational ...