ANDE – AUTOMATIC NEUROLOGICAL DISEASE EVALUATION. The goal of this project is study, design, development and test of a new system that supports the operator in the early stages of medical diagnostics in order to assess, as accurately as possible, the neurological deficit of the human body.
The system will allow the medical staff in emergency and the specialists to detect the degree of deficit through an instrument that builds its foundation on internationally accepted standards and protocols that limits the maximum factor K with the help of specific tecnologia. Moreover, there will be a new system based on the experimental application in the emergency hospital field of detection technologies for biomedical parameters that will be developed and managed by specific vertical applications developed in Cloud Computing environment. This platform will be the basis for the creation of a network (Hub&Spoke model) with the aim to provide timely and effective emergency assistance in cases of neurological deficit in the context of neuro acute vascular events.
In this regard, it is planned to develop a set of technological solutions to ensure that the clinical evaluation of a case of suspected STROKE is carried out. Specifically it would accurately measure many parameters as possible of the NIH SS to put it in connection with other available parameters such as intracranial imaging, laboratory tests and images IR. It will thus be possible to measure and improve the effectiveness of the evaluation and preparation of the staff who is going to operate in these areas, giving them support and information as objective to evaluate patients affected by this problem. This instrument could ensure greater uniformity the methodology of the data collected. Several studies have shown that the factor of subjectivity in the evaluation of the deficit (K factor) reaches values of some important species item evaluation of NIH as ataxia and paresis facciale.The motion tracking movements has been a topic of active research since the eighties.
The technologies of tracking systems, send information space-time movements of the human body. But many challenges remain, due to the complexity of the branch of Neuroscience and technological limits. The opportunity to have a greater uniformity of the method of recorded data is one of the most important thing. The database will facilitate data analysis of all aspects of the events of STROKE, correlating to demographic information and an accurate chronological correspondence. This will be useful in the creation of extensive data analisys with the opportunity to highlight new aspects of the matter and to improve the opportunities and quality of care in the near future.
cloud computing – face recognition – post-stroke – neurological disease – algoritmi intelligenti