Browsing by Subject "Medical computing"

Now showing items 21-30 of 30

    • Conference Object  

      Non-invasive trisomy 21 diagnosis using fuzzy cognitive maps 

      Papaioannou, Maria; Neocleous, Costas K.; Schizas, Christos N. (Springer Verlag, 2016)
      A fuzzy Diagnostic Decision Support System (DDSS) has been developed, exploiting the possibilities of a specific algorithm which transforms a crisp dataset into fuzzy. The purpose of the developed fuzzy DDSS is the diagnosis ...
    • Conference Object  

      An overview of quantitative magnetic resonance imaging analysis studies in the assessment of alzheimer’s disease 

      Leandrou, Stephanos; Petroudi, Styliani; Kyriacou, Panicos A.; Reyes-Aldasoro, C. C.; Pattichis, Constantinos S. (Springer Verlag, 2016)
      Medical image analysis and visualization, can contribute in quantitative and qualitative analysis of Magnetic Resonance Imaging (MRI) towards an earlier diagnosis of Alzheimer’s disease (AD). Moreover, the early detection ...
    • Conference Object  

      A post cardiac surgery home-monitoring system 

      Matheou, George; Kyriacou, Efthyvoulos C.; Chimonidou, Panayiota; Pattichis, Constantinos S.; Lambrinou, Ekaterini; Barberis, Vassilis I. I.; Georghiou, Georgios P. (2011)
      The aim of this work was to develop a system that will be used for remote monitoring of patients at home after a cardiac surgery so as to keep their rehabilitation period as smooth as possible and avoid unnecessary visits ...
    • Conference Object  

      Prenatal diagnosis of aneuploidy using artificial neural networks in relation to health economics 

      Neocleous, Andreas C.; Neocleous, Costas K.; Petkov, N.; Nicolaides, Kypros H.; Schizas, Christos N. (Springer Verlag, 2016)
      The early detection of fetal chromosomal abnormalities such as aneuploidies, has been an important subject in medicine over the last thirty years. A pregnant woman is advised by the doctor to perform an amniocentesis test, ...
    • Conference Object  

      Reliable hysteroscopy color imaging 

      Constantinou, Ioannis P.; Tanos, Vasilios; Neofytou, Marios S.; Pattichis, Constantinos S. (2010)
      The aim of this study was to investigate the reliability of two hysteroscopy cameras, the Circon IP 4 and Karl Storz HD, in relation to white balance, camera response over time, and color correction. Experimental results, ...
    • Conference Object  

      A robotic cloud ecosystem for elderly care and ageing well: The GrowMeUp approach 

      Georgiadis, Dimosthenis; Christophorou, C.; Kleanthous, Styliani; Andreou, Panayiotis G.; Santos, L.; Christodoulou, Eleni; Samaras, George S. (Springer Verlag, 2016)
      Robotic systems in Ageing Well, like GrowMeUp, are among those assistive technologies, providing companionship and offering functionality related to the support of active and independent living, monitoring and maintaining ...
    • 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  

      A system for monitoring children with suspected cardiac arrhythmias - Technical optimizations and evaluation 

      Kyriacou, Efthyvoulos C.; Pattichis, Constantinos S.; Hoplaros, Demetris; Kounoudes, A.; Milis, M.; Jossif, Antonis P. (2010)
      Children with cardiac arrhythmias constitute one of the most difficult problems in cardiology both in terms of diagnosis and management. In such cases continuous monitoring of ECG vital signs and environmental conditions ...
    • 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 ...
    • Conference Object  

      Variable target values neural network for dealing with extremely imbalanced datasets 

      Karatsiolis, Savvas; Schizas, Christos N. (Springer Verlag, 2016)
      An original classification algorithm is proposed for dealing with extremely imbalanced datasets that often appear in biomedical problems. Its originality comes from the way a neural network is trained in order to get a ...