PhD in Biomedical Engineering, working as Fixed-term Junior Assistant Professor at the Department of Electrical, Electronic, and
Information Engineering - Guglielmo Marconi (DEI), University of
Bologna. His main research activity is in the area of human
movement analysis, signal processing, wearable sensors, ICT in
clinical practice, personal health systems design and validation,
and mobile health.
Starting from the practical needs of clinicians and patients, a
series of experimental assessment protocols are defined in order to
obtain an instrumental assessment tool which was not only the
solution to the problem but also easily and directly usable in
clinical practice. Collected data is used for developing robust
algorithms for movement analysis from which a series of clinically
valuable metrics can be defined. The aim is to provide
clinically relevant outcomes by means of a easy to handle
technological solution which was also as transparent as possible
for the patient.
Although the use of a body area network of wearable sensing unit
enables to investigate the dynamics of all the different body
segments, this solution is not really unobtrusive for the user and
even if it is feasible to implement such a solution in a supervised
environment like a movement lab, it would not be feasible to
implement the same solution in unsupervised settings. For this
reason my line of research is focused on methods relying
upon a single wearable sensing unit.
The use of wearable motion sensors requires intelligent signal
processing and appropriate methods for monitoring of
mobility-related postures and activities in both supervised and
unsupervised settings. The aims is to design and the develo novel
methods for wearable sensor-based functional assessment in both
supervised and unsupervised settings. The ultimate goal of my
research is to design Personal Health Systems as digital companions
able to deliver personalized services anywhere and anytime.
