Turcato Andrea, Ramat Stefano
Computer Science and Systems Engineering Department, University of Pavia, via Ferrata, 1 27100 Pavia, Italy.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4963-6. doi: 10.1109/IEMBS.2011.6091230.
Movement analysis is a powerful tool for the diagnosis of neurological conditions, as well as patient assessment and follow-up during rehabilitation programs. In spite of the available systems allowing a quantitative analysis of a subject's movement control performances, the clinical assessment and diagnostic approach still relies mostly on non-quantitative exams, such as clinical scales. Further, studying balance control, gait and activities of daily living poses relevant technical challenges, which greatly limit the availability of testing facilities. The goal of our project was therefore to develop a new system based on wearable sensors for movement analysis and scoring of performances. A prototype 3-sensors system was tested on a group of 4 normal subjects while carrying out a set of full body movement exercises drawn by clinical scales for the assessment of movement and balance control.
