Database technology

One of the main outcomes of the ICT4Rehab project is the design and development of a database related to Cerebral Palsy and muscle spasticity.

This database will store both data from the clinical partners and data captured during rehabilitation activities using Serious Gaming. It will serve as the data source of the advanced data mining tools developed within the project.

Especially relevant from a technological viewpoint is that the muscle spasticity data to be stored within this database has inherent spatial and temporal characteristics. For example, motion analysis systems capture positions throughout time, thereby effectively measuring points in 3D space that move through time.  Similarly, foot pressure plates measure force in 2D space throug time.

In order to efficiently store and query this spatio-temporal data, the database is best implemented with a database management system with native spatio-temporal capabilities. Unfortunately, however, while both the theoretical and algorithmic aspects of spatio-temporal databases are
well-developed, current state-of-the-art database management systems restrict their attention to spatial information alone, not temporal information, nor the combination of spatio-temporal information.

The implementation of a database management system infrastructure with the required spatio-temporal capabilities (to serve as the platform on which the clinical muscle spasticity database is built) is therefore a key development aspect within this project.