رئاسـة البـحث : Jean-Gabriel GANASCIA

تأطـير مـشـترك : LEVY Pierre

Fusion symbolique et données polysomnographiques

In recent decades, medical examinations required to diagnose and guide to treatment became more and more complex. It is even a current practice to use several examinations in different medical specialties to study a disease through multiple approaches so as to describe it more deeply. The interpretation is difficult because the data is both heterogeneous and also very specific, with skilled domain of knowledge required to analyse it.
In this context, symbolic fusion appears to be a possible solution. Indeed, it was proved to be very effective in treating problems with low or high levels of abstraction of information to develop a high level knowledge.
This thesis demonstrates the effectiveness of symbolic fusion applied to the treatment of polysomnographic data for the development of an assisted diagnosis tool of Sleep Apnea Syndrome. Proper diagnosis of this sleep disorder requires a polysomnography. This medical examination consists of simultaneously recording of various physiological parameters during a night. Visual interpretation is tedious and time consuming and there commonly is some disagreement between scorers. The use of a reliable support-to-diagnosis tool increases the consensus. This thesis develops stages of the development of such a tool.

إصدارات 2008-2022

• 2022
  • S. Barro, A. Ugon, N. Nana, P. Staccini : “Patient’s Unique Identifier for Efficient and Secure Monitoring of Pregnant Women in Burkina Faso”, chapter in Informatics and Technology in Clinical Care and Public Health, vol. 289, Studies in Health Technology and Informatics, pp. 349-352, (IOS Press) (2022)
• 2021
  • M. Tramonti Fantozzi, U. Faraguna, A. Ugon, G. Ciuti, A. Pinna : “Automatic Cyclic Alternating Pattern (CAP) analysis: Local and multi-trace approaches”, PLoS ONE, vol. 16 (12), pp. e0260984, (Public Library of Science) (2021)
  • R. Madar, A. Ugon, D. Ivanković, R. Tsopra : “A Web Interface for Antibiotic Prescription Recommendations in Primary Care: User-Centered Design Approach”, Journal of Medical Internet Research, vol. 23 (6), pp. e25741, (JMIR Publications) (2021)
• 2019
  • A. Ugon, C. Philippe, A. Kotti, M.‑A. Dalloz, A. Pinna : “Automatic Sleep Stages Classification Combining Semantic Representation and Dynamic Expert System”, MEDINFO 2019: Health and Wellbeing e-Networks for All, vol. 264, Lyon, France, pp. 848-852 (2019)
  • A. Ugon, H. Falcoff, E. Jobez, M. Favre, R. Tsopra, P. Meneton, M.‑Ch. Jaulent : “PEPS, une plateforme de prévention cardiovasculaire orientée citoyen”, IA & Santé, Toulouse, France (2019)
  • Ch. Chen, A. Ugon, Ch. Sun, W. Chen, C. Philippe, A. Pinna : “Towards a Hybrid Expert System Based on Sleep Event’s Threshold Dependencies for Automated Personalized Sleep Staging by Combining Symbolic Fusion and Differential Evolution Algorithm”, IEEE Access, vol. 7, pp. 1775-1792, (IEEE) (2019)
• 2018
  • A. Ugon, A. Kotti, B. Séroussi, K. Sedki, J. Bouaud, J.‑G. Ganascia, P. Garda, C. Philippe, A. Pinna : “Knowledge-based decision system for automatic sleep staging using symbolic fusion in a turing machine-like decision process formalizing the sleep medicine guidelines”, Expert Systems with Applications, vol. 114, pp. 414-427, (Elsevier) (2018)
• 2017
  • A. Seba, D. Istrate, T. Guettari, A. Ugon, A. Pinna, P. Garda : “Thermal Signature Based Sleep Analysis Sensor”, Informatics, vol. 4 (4), (MDPI) (2017)
  • A. Ugon, C. Duclos, S. Konate, S. Arnedos Lopez, H. Yazidi, A. Venot, M.‑Ch. Jaulent, R. Tsopra : “Parallel Design of Browsing Scheme and Data Model for Multi-Level Hierarchical Application Devoted to Management of Patient with Infectious Disease in Primary Care.”, Studies in Health Technology and Informatics, vol. 235, pp. 421-425, (IOS Press) (2017)
• 2016
  • Ch. Chen, A. Ugon, X. Zhang, A. Amara, P. Garda, J.‑G. Ganascia, A. Kotti, C. Philippe, A. Pinna : “Cross Entropy-based Automatic Thresholds Setting-Up Method for Sleep Staging System”, IEEE BioCAS 2016, Shanghai, China (2016)
  • A. Ugon, K. Sedki, A. Kotti, B. Séroussi, C. Philippe, J.‑G. Ganascia, P. Garda, J. Bouaud, A. Pinna : “Decision system integrating preferences to support sleep staging”, Exploring Complexity in Health: An Interdisciplinary Systems Approach, vol. 228, Studies in Health Technology and Informatics, Munich, Germany, pp. 514-518, (IOS Press) (2016)
  • Ch. Chen, A. Ugon, X. Zhang, A. Amara, P. Garda, J.‑G. Ganascia, C. Philippe, A. Pinna : “Personalized Sleep Staging System by combining Symbolic Fusion and Feedback System Control”, 11^e Colloque du GDR SoC-SiP, Nantes, France (2016)
  • A. Ugon, A. Kotti, K. Sedki, C. Philippe, B. Séroussi, J. Bouaud, J.‑G. Ganascia, P. Garda, A. Pinna : “Reconnaissance des stades de sommeil à l’aide d’un outil de support à la décision basé sur les connaissances et la pratique des experts”, 27^es Journées francophones d'Ingénierie des Connaissances (Atelier IA & Santé), Montpellier, France (2016)
  • Ch. Chen, X. Liu, A. Ugon, X. Zhang, A. Amara, P. Garda, J.‑G. Ganascia, C. Philippe, A. Pinna : “Polysomnography Symbolic Fusion for Automatic Sleep Staging”, 5^es Journées d'Etude sur la TéléSANté (JETSAN), Compiègne, France (2016)
  • A. Ugon, B. Séroussi, C. Philippe, J.‑G. Ganascia, P. Garda, K. Sedki, J. Bouaud, A. Pinna : “Towards a Wireless Smart Polysomnograph Using Symbolic Fusion”, Transforming Healthcare with the Internet of Things, vol. 221, Studies in Health Technology and Informatics, Paris, France, pp. 23-27, (IOS Press) (2016)
  • Th. Vallée, K. Sedki, S. Despres, M.‑Christine Jaulant, K. Tabia, A. Ugon : “On Personalization in IoT”, International Conference on Computational Science and Computational Intelligence (CSCI'16), Las Vegas, NV, United States, pp. 186-191, (IEEE) (2016)
  • Ch. Chen, A. Ugon, X. Zhang, A. Amara, P. Garda, J.‑G. Ganascia, C. Philippe, A. Pinna : “Personalized sleep staging system using evolutionary algorithm and symbolic fusion”, 2016 IEEE 38^th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), Orlando, FL, United States, pp. 2266-2269 (2016)
• 2015
  • Ch. Chen, X. Liu, A. Ugon, X. Zhang, A. Amara, P. Garda, J.‑G. Ganascia, C. Philippe, A. Pinna : “Symbolic Fusion: A Novel Decision Support Algorithm for Sleep Staging Application”, Proccedings 5^th EAI International Conference on Wireless Mobile Communication and Healthcare, London, United Kingdom (2015)
• 2013
  • A. Ugon : “Fusion symbolique et données polysomnographiques”, أطروحة, مناقـشـة مـذكـرة 14/01/2013, رئاسـة البـحث Ganascia, Jean-Gabriel, تأطـير مـشـترك : Levy, Pierre (2013)
  • A. Ugon, A. Pinna, X. Liu, J.‑G. Ganascia, P. Garda, C. Philippe, H. Amiel : “Interprétation automatique des courbes polysomnographpiques par fusion symbolique”, Actes du 24^e Colloque "GRETSI", Brest, France (2013)
• 2010
  • N. Sukhorukova, A. Stranieri, B. Ofoghi, P. Vamplew, M. Saleem, L. Ma, A. Ugon, J. Ugon, N. Muecke, H. Amiel, C. Philippe, Ah. Bani‑Mustafa, Sh. Huda, M. Bertoli, P. Lévy, J.‑G. Ganascia : “Automatic sleep stage identification: difficulties and possible solutions”, Fourth Australasian Workshop on Health Informatics and Knowledge Management, HIKM'2010, vol. 108, CRPIT, Brisbane, Australia, pp. 39-44, (Australian Computer Society) (2010)
• 2009
  • N. Sukhorukova, A. Stranieri, B. Ofoghi, P. Vamplew, M. Saleem, L. Ma, A. Ugon, J. Ugon, N. Muecke, H. Amiel, C. Philippe, Ah. Bani‑Mustafa, Sh. Huda, M. Bertoli, P. Lévy, J.‑G. Ganascia : “Automatic sleep stage identification: difficulties and possible solutions”, HIC 2009, Canberra, Australia (2009)
  • A. Ugon, C. Philippe, J.‑G. Ganascia, D. Rakotonanahary, H. Amiel, J.‑Y. Boire, P. Lévy : “Evaluating OPTISAS, a visual method to analyse sleep apnea syndromes.”, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009 (EMBC 2009), Minneapolis, MN, United States, pp. 4747-4750, (IEEE) (2009)
• 2008
  • A. Ugon, C. Philippe, S. Pietrasz, J.‑G. Ganascia, P. Lévy : “OPTISAS a new method to analyse patients with Sleep Apnea Syndrome”, MIE 2008 - XXIst International Congress of the European Federation for Medical Informatics, vol. 136, Studies in Health Technology and Informatics, Göteborg, Sweden, pp. 547-552 (2008)