Towards an IoT-based upper limb rehabilitation assessment system

Rehabilitation of stroke survivors has been increasing in importance in recent years with increase in the occurrence of stroke. However, current clinical classification assessment is time-consuming while the result is not accurate and varies across physicians. This paper introduces an IoT-based upper limb rehabilitation assessment system for stroke survivors based on wireless sensing sub-system, data cloud, computing cloud and software based on Android platform. The system can automatically perform objective assessment. It is designed for home rehabilitation as well as for the concept of graded rehabilitation therapy.