• DocumentCode
    1172238
  • Title

    Remote house calls [disease detector]

  • Author

    Rovetta, Alberto ; Cucè, Antonino ; Solenghi, Carlo ; Bisogni, Maurizio

  • Volume
    10
  • Issue
    1
  • fYear
    2003
  • fDate
    3/1/2003 12:00:00 AM
  • Firstpage
    65
  • Lastpage
    71
  • Abstract
    An innovative bio-robotic system DDX for neuropsychophysical health-condition detection is presented. The proposed fuzzy logic solution is portable without losing efficiency and accuracy in diagnosis and also provides the ability to transfer diagnoses through a remote communication interface in order to monitor the daily health of a patient. The system is an intelligent machine based on soft computing techniques, and its efficiency can be improved considering more patterns of examples for functions, calibration, or, moreover, by using self-learning techniques.
  • Keywords
    fuzzy logic; learning systems; medical robotics; patient diagnosis; telemedicine; biomedical robotic system; calibration; fuzzy logic; neuropsychophysical health-condition detection; patient diagnosis; self-learning; soft computing; Control systems; Fingers; Force measurement; Humans; Parkinson´s disease; Protocols; Robotics and automation; Skeleton; Strain measurement; Testing;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/MRA.2003.1191712
  • Filename
    1191712