Title: Innovative biorobotic system for the diagnosis of neuro-motional conditions
Author: prof. Alberto Rovetta N. AD-1
References:

Pinelli P., Neuromotor Control, 1996


Objectives

To obtain a quantitative measure of the neuro-psycomotional condition of a person and then detect his/her wellness condition, it is necessary a set of parameters which are reaction time, speed, strength and tremor. Processing these parameter with fuzzy logic it is possible to obtain an indication about the wellness condition of a person, healthy or affected by a particular pathology as Parkinson Disease, dementia, etc

Contents
The system is of small dimension, with easily grasping both with the right and left hand, low weight and easily portable. These characteristics, combined with a software and a simple mechanics, make the test operation completely under the user’s own management.

Results
The first type of test (Button push) consists on pressing the device’s button, using the forefinger, after a visual-sound stimulus; will be thus acquired four kinetic-dynamic parameters, reaction time, speed, strength, and tremor. The test is articulated on two protocols:

  • Fast protocol – the user, when receives the visual-sound stimulus, pushes quickly the button and releases it when the target has been reached.
  • Virtual protocol – the user must do the same movement, but now he has to follow the schematisation of the finger.

A cycle of experimental tests done with the system on healthy people takes results that confirm experiments by neurologists on the subject. Two protocols of execution:

  • Fast reading –the user has to read a word, which appears in random way, just when it appears on the display and after having received a sound stimulus.
  • Delayed reading – the person must read the word visualized on the display not when it is displayed, but later; a sound notifies the time to start the reading.

Future possible developments
The data collected are used to develop a classification model based on fuzzy logic. The values acquired by the device have been considered as input parameter.