A telerehabilitation application with pre-defined consultation classes

Advancements in telecommunication technologies have been instrumental for the past few decades in making human life easier. Development of telemedicine technology made access to better medical care for the rural population ever more possible. However, telemedicine systems for rehabilitation purposes which are designed to work under low-bandwidth network conditions are rare to find. This work focuses on developing a low-bandwidth telerehabilitation system with customised consultation classes for the user to select from, depending on the requirements. Each class, with its preset parameter values, is discussed in detail demonstrating relevant rehabilitation exercises. A novel bandwidth adaptation algorithm is also presented for optimal utilisation of the dynamic network conditions. Experiment results show that the system is able to perform effectively in each consultation scenario while performing the rehabilitation exercises. The proposed bandwidth adaptation algorithm is also verified for its ability in adapting the content quality and for effectively utilising the network under constrained conditions.