Browsing by Subject "Muscle"

Now showing items 1-15 of 15

    • Article  

      AM-FM texture segmentation in electron microscopic muscle imaging 

      Pattichis, Marios S.; Pattichis, Constantinos S.; Avraam, Maria; Bovik, Alan Conrad; Kyriacou, Kyriacos C. (2000)
      This paper describes the application of an amplitude modulation-frequency modulation (AM-FM) image representation in segmenting electron micrographs of skeletal muscle for the recognition of: 1) normal sarcomere ultrastructural ...
    • Article  

      Analysis of neuromuscular disorders using statistical and entropy metrics on surface EMG 

      Istenic, R.; Kaplanis, P. A.; Pattichis, Constantinos S.; Zazula, D. (2008)
      This paper introduces the surface electromyogram (EMG) classification system based on statistical and entropy metrics. The system is intended for diagnostic use and enables classification of examined subject as normal, ...
    • 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 ...
    • Conference Object  

      Classification of surface electromyographic signals using AM-FM features 

      Christodoulou, Christodoulos I.; Kaplanis, P. A.; Murray, V.; Pattichis, Marios S.; Pattichis, Constantinos S. (2009)
      The objective of this study was to evaluate the usefulness of AM-FM features extracted from surface electro myographic (SEMG) signals for the assessment of neuromuscular disorders at different force levels. SEMG signals ...
    • 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  

      Comparison of AM-FM features with standard features for the classification of surface electromyographic signals 

      Christodoulou, Christodoulos I.; Kaplanis, P. A.; Murray, V.; Pattichis, Marios S.; Pattichis, Constantinos S. (2010)
      In this work AM-FM features extracted from surface electromyographic (SEMG) signals were compared with standard time and frequency domain features, for the classification of neuromuscular disorders at different force levels. ...
    • 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  

      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  

      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  

      Multi-scale AM-FM analysis for the classification of surface electromyographic signals 

      Christodoulou, Christodoulos I.; Kaplanis, P. A.; Murray, V.; Pattichis, Marios S.; Pattichis, Constantinos S.; Kyriakides, Theodoros (2012)
      In this work, multi-scale amplitude modulation-frequency modulation (AM-FM) features are extracted from surface electromyographic (SEMG) signals and they are used for the classification of neuromuscular disorders. The ...
    • Article  

      Multiscale entropy-based approach to automated surface EMG classification of neuromuscular disorders 

      Istenič, R.; Kaplanis, P. A.; Pattichis, Constantinos S.; Zazula, D. (2010)
      We introduce a novel method for an automatic classification of subjects to those with or without neuromuscular disorders. This method is based on multiscale entropy of recorded surface electromyograms (sEMGs) and support ...
    • Conference Object  

      Qualitative morphological analysis of muscle biopsies using neural networks 

      Gabriel, Gabriel; Schizas, Christos N.; Pattichis, Constantinos S.; Constantinou, Renos; Hadjianastasiou, Annie; Schizas, Akis N. (Publ by IEEE, 1993)
      Qualitative data from human muscle biopsies have been extracted and analyzed by artificial neural network (ANN) models trained with the Kohonen's self-organizing feature maps algorithm to provide an automated medical ...
    • Article  

      Stress management can facilitate weight loss in Greek overweight and obese women: A pilot study 

      Christaki, Eirini; Kokkinos, A.; Costarelli, V.; Alexopoulos, E. C.; Chrousos, George P.; Darviri, C. (2013)
      Background: Stress and negative emotions have been shown to be critical factors in inducing overeating as a form of maladaptive coping in obese people. Methods: The present study aimed to evaluate the efficacy of an 8-week ...
    • Conference Object  

      Suggesting a sonographic index to measure ultrasound diaphragmatic MRR 

      Loizou, Christos P.; Loizou, Christos P.; Matamis, D.; Soleimezi, E.; Minas, G.; Pattichis, Constantinos S. (Springer Verlag, 2016)
      Measurements of ultrasound diaphragmatic motion may provide important and essential information about diaphragmatic fatigue. In this work, we propose a semiautomated analysis system for measuring the diaphragmatic motion ...
    • Conference Object  

      Visualisation tool for representing synthetic facial emotional expressions 

      Loizides, A.; Himona, S. L.; Chrysanthou, Yiorgos L. (2008)
      This paper describes a face-muscle model system capable of emoting avatars in a variety of applications. The presented model produces dynamically changing facial expressions on computer generated faces, using mathematically ...