• DocumentCode
    2221163
  • Title

    PERFORM: A platform for monitoring and management of chronic neurodegenerative diseases: The Parkinson and Amyotrophic Lateral Sclerosis case

  • Author

    Baga, Dina ; Fotiadis, Dimitrios I. ; Konitsiotis, Spiros ; Tsouli, Sofia ; Diakou, Maria ; Arrendondo, Maria Teresa ; Estrada, Juan Jacobo ; Pansera, Mario ; Akay, Metin

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Ioannina, Ioannina, Greece
  • fYear
    2009
  • fDate
    April 29 2009-May 2 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this work we present a system for the monitoring and management of neurodegenerative diseases, such as the Parkinson´s Disease (PD) and amyotrophic lateral sclerosis (ALS). The purpose of the system is to monitor patient´s motor symptoms, and assist the clinician in the evaluation of both the current patient status and the disease progression. The system progresses one step further and suggests appropriate patient treatment changes, based on previously stored or accumulated medical knowledge. In this work, we focus on the description of the wearable platforms used to monitor the patient motor status at the patient´s environment.
  • Keywords
    diseases; neurophysiology; patient monitoring; patient treatment; amyotrophic lateral sclerosis; chronic neurodegenerative disease management; parkinson disease; patient motor symptom monitoring; patient treatment; wearable platforms; Biomedical monitoring; Computer science; Computerized monitoring; Conference management; Engineering management; Medical treatment; Neural engineering; Parkinson´s disease; Patient monitoring; Technology management; ALS; Continuous wearable patient monitoring; Parkinsons´ Disease; treatment adjustment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4244-2072-8
  • Electronic_ISBN
    978-1-4244-2073-5
  • Type

    conf

  • DOI
    10.1109/NER.2009.5109220
  • Filename
    5109220