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Detection of Activity Performances for Health with New Equipment


One of the most growing progressive neuromotory diseases is Parkinson disease that affects young and elderly people; the researches carried out in the framework of neuromotory pathologies have generated mehodologies for multiparametric analysis, allowing a quantitative measurement of neurological and psycho-physical health state. Albeit the first application of the mentioned studies was the monitoring of Parkinson progress state as well as other neuromotory pathologies, such methodologies can also be applied to monitor the soundness of healthy citizens. These measures are an excellent method to show reactive parameters changes caused by stress, fatigue, emotional states, drugs and alcohol; therefore, the aim of the present project is to develop a system able to quantify reactive parameters creating a system that can be put in a small equipment with data wireless transmission to operational health centres.

The main objective of the present project is to promote the self care trough the development of a portable and computerized instrument that measures some fundamental parameters of citizen's reactive capabilities.
The aim is to give the possibility of performing continuous and autonomous monitoring of the health state at home assuring, thanks to a telecommunication system, a constant remote control. Therefore on one hand, the patient affected by a neuromotory pathology (like Parkinson disease) can be daily assisted by clinicians who can intervene if the parameters are out of range or change the therapy; on the other hand, the healthy citizen can prevent any possible illness by constantly screen his/her health state acquiring awareness on how the life style can influence the psychophysical soundness.

Work description:
The system is based on neurological studies already experienced. The system is foreseen to perform several tests like button pressing and vocal feedback in response to acoustic or visual stimuli; trough the sensors the system collects data for an analysis of reactive parameters; by means of a classification system based on fuzzy logic, a wellness rate will be obtained; both the measures and the final result ill be recorded on local memory and will be directly sent to operational centres. The neurologists will determine precise and adequate tests protocols and will perform clinical validation of the system on both healthy citizens and patients; a clinical certification of the system is also forecast.
The robotic expert will select and design the mechanical components (like button and sensors) and test their reliability and resistance.
The soft computing and microelectronics expert will develop the system hardware implementation targeting on miniaturization, easy maintenance and low energy consumption; moreover he will design the fuzzy classifier and the related software with user friendly and intuitional features.
The telemedicine expert will select the most suitable technology to be applied to data reception and transmission; and implement it integrating a microchip in the instrument.
The ergonomic design expert will design the instrument considering ease of use, aesthetics, comfort factors, lightness, compactness, user friendliness, flexibility and modernity.

When the first prototype is ready, it will be tested by clinicians on patients and healthy people; a great number of measure will be collected to perform calibration of the fuzzy classifier by means of medical and statistical results; clinicians, patients and healthy people evaluations will be collected in order to improve the system and implement the final prototype.

- Determination of the functional and technological specifications; system design development;
- System implementation and first prototype delivery;
- testing at the end user site with assessment of user requirements and evaluations collections;
- final product realization with clinical validation after the system revision by means of end user feedback. The expected result is the development of a portable system oriented to self-care, with clinical validation and a high technological value.

Call for proposal

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Via Olivetti 2
20041 Agrate Brianza

Participants (4)

United Kingdom
Britannia Row 35
N1 8QH London
Piazza Iv Novembre 3
20123 Milano
Piazza Leonardo Da Vinci 32
20133 Milano
Via Festa Del Perdono 7
20122 Milano