• DocumentCode
    162380
  • Title

    DeeDee - A mobile intelligent system able to assist a type 1 diabetic through the daily life

  • Author

    Cernazanu-Glavan, Cosmin ; Todinca, Doru ; Precup, Radu-Emil

  • Author_Institution
    Dept. of Comput., Politeh. Univ. of Timisoara, Timişoara, Romania
  • fYear
    2014
  • fDate
    15-17 May 2014
  • Firstpage
    343
  • Lastpage
    347
  • Abstract
    Type 1 diabetes mellitus is a chronic autoimmune disorder, an incurable disease affecting somebody´s entire life. Yet, with proper care, a diabetic person can have a normal life and prevent complications. We believe technology could be a valuable helping tool, providing adequate decision support to diabetics. Our idea consists in realizing an intelligent system (DeeDee system) to assist a diabetic through the daily life, implemented on a mobile phone, a device to be carried on oneself along the day. The essence of this system is a new mechanism for glycaemia prediction. Existing mechanisms for glycaemia prediction are based on patient´s continuous monitoring, i.e., the patient is placed into a controlled environment (a hospital), while our system aims to predict glycaemia and hence to help the patient through his/her everyday life. Compared to a continuous monitoring situation, in our case the amount of data obtained from the patient is much less. In order to correctly predict the value of glycaemia, our system relies on similar situation from diabetic´s past. A key concept needed to ensure the functionality of the entire system is the construction and the management of diabetic´s profiles. Each profile is automatically built such that it characterizes and groups similar situations from diabetic´s life, i.e., how the diabetic´s organism has reacted in these situations. In order to group correctly the similar situations, we need the context parameters recorded at that time moments. These parameters are continuously collected by the patient´s mobile phone. This article proposes an integrated system capable to communicate with other medical equipments, having one main goal: to help a diabetic to have a better life.
  • Keywords
    assisted living; diseases; medical computing; mobile computing; patient monitoring; DeeDee system; continuous patient monitoring; diabetic profile construction; diabetic profile management; glycaemia prediction; mobile intelligent system; patient mobile phone; type 1 diabetes mellitus; type 1 diabetic assistance; Computational modeling; Context; Diabetes; Insulin; Monitoring; Predictive models; Sugar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on
  • Conference_Location
    Timisoara
  • Type

    conf

  • DOI
    10.1109/SACI.2014.6840089
  • Filename
    6840089