Title :
Remote house calls [disease detector]
Author :
Rovetta, Alberto ; Cucè, Antonino ; Solenghi, Carlo ; Bisogni, Maurizio
fDate :
3/1/2003 12:00:00 AM
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;
Journal_Title :
Robotics & Automation Magazine, IEEE
DOI :
10.1109/MRA.2003.1191712
