No abstract

No abstract

This paper presents the experimental comparison of data fusion algorithms for human motion tracking in rehabilitation, using Inertial Measurement Units. Three algorithms for orientation estimation, taken from the scientific literature in the field, have been selected and their capability of accurately tracking the angle of a selected joint has been evaluated. In particular, two phases of experimental analysis have been carried out. The former, in laboratory, was directed to verify the capability of the algorithms of tracking a fixed angle range. In the latter, carried out in a rehabilitation center, the results obtained by the considered algorithms have been compared with those provided by a vision-based motion tracking system.

No abstract

Home rehabilitation systems have already made their way into widely accepted medical practices, and their further diffusion will help limit healthcare-related costs and improve treatment conditions. For a therapy to successfully rely on a rehabilitation system, this should provide support that can be proven to meet treatment-specific purposes. This work deals with the validation of a home rehabilitation system designed to assist therapists in limb motor dysfunction treatment by providing joint angle measurements. The system under test has been compared with two commercial systems, commonly used in rehabilitation laboratories.