Plz send me the information or documentation regarding disease detection using biorobotics

Disease detection using biorobotics
In order to measure quantitatively the neuro-psychomotor conditions of an individual with a view to subsequently detecting his/her state of health, it is necessary to obtain a set of parameters such as reaction time, speed, strength and tremor. By processing these parameters through the use of fuzzy logic it is possible to monitor an individual's state of health, .i.e. whether he/she is healthy or affected by a particular pathology such as Parkinson's disease, dementia, etc.

The set of parameters obtained is useful not only to diagnose neuro-motor pathologies (e.g. Parkinson Disease), but also to assess general everyday health or to monitor sports performance; moreover, continuous use of the device by an individual for health-monitoring purposes, not only allows for detection of the onset of a particular pathology but also provides greater awareness in terms of how life style or certain habits tend to have repercussions on psycho-physical well-being. Since an individual's state of health should be continually monitored, it is essential that he or she can manage the test autonomously without his/her emotional state being influenced: autonomous testing is important, as the individual is likely to be more relaxed thus obviating emotional problems. The new system has been designed with reference to the biomechanical characteristics of the human finger.