Now showing items 621-640 of 1952

    • Conference Object  

      A brief overview of m-health e-emergency systems 

      Pattichis, Constantinos S.; Kyriacou, Efthyvoulos C.; Pattichis, Marios S.; Panayides, Andreas S.; Mougiakakou, Stavroula Gr; Pitsillides, Andreas; Schizas, Christos N. (2008)
      Rapid advances in wireless communications and networking technologies, linked with advances in computing and medical technologies facilitate the development and offering of emerging mobile systems and services in the ...
    • Article  

      Welcome note 

      Pattichis, Constantinos S.; Kyriakides, Elias; Ellinas, Georgios; Kyriacou, E. (2016)
    • Article  

      Healthcare telematic applications in Cyprus 

      Pattichis, Constantinos S.; Schizas, Christos N.; Andreou, Andreas S. (2002)
      Objectives: a) To present a review of ongoing health telematic applications in Cyprus. b) To promote the use of these health telematic applications in the Cyprus region. c) To help in the spin off of other health telematic ...
    • 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 ...
    • 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  

      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 ...
    • Article  

      Medical imaging fusion applications: An overview 

      Pattichis, Constantinos S.; Pattichis, Marios S.; Micheli-Tzanakou, Litsa Evangelia (2001)
      Computer aided fusion of multi modality medical images provides a very promising diagnostic tool with numerous clinical applications. The objective of this paper is to present an overview of medical imaging fusion techniques ...
    • Conference Object  

      Adaptive neural network imaging in medical systems 

      Pattichis, Constantinos S.; Pattichis, Marios S. (2001)
      Recent technological advances in medicine facilitated the development of sophisticated equipment enabling the better delivery of health care services. In parallel, artificial neural networks emerged as promising tools for ...
    • Conference Object  

      An integrated system for the assessment of ultrasonic imaging atherosclerotic carotid plaques 

      Pattichis, Constantinos S.; Christodoulou, Christodoulos I.; Pattichis, Marios S.; Pantzaris, Marios C.; Nicolaïdes, Andrew N. (2001)
      The objective of this work is to develop a system that will facilitate the automated characterization of ultrasonic imaging carotid plaques for the identification of individuals with asymptomatic carotid stenosis at risk ...
    • Article  

      Efficient training of neural network models in classification of electromyographic data 

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

      Sensitivity analysis of artificial neural networks: Case study in clinical electromyography 

      Pattichis, Constantinos S.; Charalambous, Chris; Middleton, Lefkos T. (Publ by IEEE, 1991)
      The usefulness of artificial neural networks (ANNs) trained with the momentum backpropagation and the conjugate gradient backpropagation (CGBP) learning algorithms in the classification of electromyography (EMG) data has ...
    • 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  

      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  

      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  

      Medical imaging with neural networks 

      Pattichis, Constantinos S.; Constantinides, Anthony G. (IEEE, 1994)
      The objective of this paper is to provide an overview of the recent developments in the use of artificial neural networks in medical imaging. The areas of medical imaging that are covered include: ultrasound, magnetic ...
    • Article  

      Preface 

      Pattichis, Constantinos S.; Kaplanis, P.; Christofides, Stelios; Kyriacou, Efthyvoulos C. (2016)
    • Article  

      Distributed adaptation reasoning for a mobility and adaptation enabling middleware 

      Paspallis, Nearchos; Papadopoulos, George Angelos (2006)
      The prospect of adaptive, mobile applications provides both opportunity and challenge to the application developers. Adaptive, mobile applications are designed to constantly adapt to the contextual conditions with the aim ...
    • Conference Object  

      An approach for developing adaptive, mobile applications with separation of concerns 

      Paspallis, Nearchos; Papadopoulos, George Angelos (2006)
      Modern mobile computing paradigms have set new challenges for the development of distributed mobile applications and services. Because of the variability which characterizes the context of such environments, it is important ...
    • Article  

      An optimization of context sharing for self-adaptive mobile applications 

      Paspallis, Nearchos; Papadopoulos, George Angelos (2008)
      Because of the high potential of mobile and pervasive computing systems, there is an ongoing trend in developing applications exhibiting context awareness and adaptive behavior. While context awareness guarantees that the ...
    • Conference Object  

      An architecture for highly available and dynamically upgradeable Web services 

      Paspallis, Nearchos; Papadopoulos, George Angelos (2007)
      Developing distributed application architectures characterized by high availability has always been a challenging and important task both for the academic and the industrial communities. Additionally, the related requirement ...