JUCS - Journal of Universal Computer Science 19(9): 1275-1294, doi: 10.3217/jucs-019-09-1275
A Tool for Telediagnosis of Cardiovascular Diseases in a Collaborative and Adaptive Approach
Maria-Aydee Sanchez-Santana‡, Jean-Baptiste Aupet‡, Marie-Laure Betbeder‡, Jean-Christophe Lapayre§, Antonio Camarena-Ibarrola|‡ Université de Franche-Comté, Besançon, France§ Université de Franche-Comté, Besancon, France| Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico
Corresponding author: Maria-Aydee Sanchez-Santana ( aydee.santana@femto-st.fr ) © Maria-Aydee Sanchez-Santana, Jean-Baptiste Aupet, Marie-Laure Betbeder, Jean-Christophe Lapayre, Antonio Camarena-Ibarrola. This article is freely available under the J.UCS Open Content License. Citation:
Sanchez-Santana M-A, Aupet J-B, Betbeder M-L, Lapayre J-C, Camarena-Ibarrola A (2013) A Tool for Telediagnosis of Cardiovascular Diseases in a Collaborative and Adaptive Approach. JUCS - Journal of Universal Computer Science 19(9): 1275-1294. https://doi.org/10.3217/jucs-019-09-1275 |  |
Abstract
In this paper, we present a new telediagnosis environment for the detection of cardiovascular problems.This tool, called VACODIS (VAscular COllaborative teleDIagnosiS), allows practitioners to semi-automatically identify and quantify a patient's potential cardiovascular complications. The system generates first-time automatic detection of cardiovascular abnormalities using Doppler ultrasound images.The system then provides remote collaborative sharing of this information among different doctors to allow distance telediagnostics. With this new system, different actors in the field of medicine (nurses, practitioners, etc.) will be able to contribute to a more reliable diagnosis in the cardiovascular domain.
Keywords
collaborative work, telediagnosis, adaptability, cardiovascular complications