Rehabilitative and assistive devices, such as mobility and postural aids, can restore or replace the loss of mobility caused by a disability. A high proportion (70%) of interventions for children with Cerebral Palsy have low or inconclusive evidence supporting their effectiveness.
This project applies state of the art sensor technology, integrated within mobility and postural assistive devices to understand how data gathered within a paediatric population can be used to provide evidence for clinical practice.
The system has been developed to collect movement and kinematic data longitudinally both at home and within clinical settings. The use of sensors to measure motion, potential for feedback to the user, parent or the health professional. The project explored the types of possible data and the potential impact of capturing quantifiable data on healthcare outcomes.