A framework for modularised wearable adaptive biofeedback devices

The demand for assistive living technologies is rising rapidly due to the increasing ageing population around the world. Advancements in wearable device technologies have paved the way to patient-centred ubiquitous health monitoring at home. Despite the increasing availability of continuous patient monitoring by integrating various sensors and Body area networks (BAN), little work has focused on automated intervention at multiple levels. On the other hand, certain personal medical treatment devices such as insulin injectors and pneumatic compression therapy devices provide treatment without overall personal health monitoring. In this research, we propose a framework to enable continuous monitoring and control of a personal treatment device seamlessly. Proposed framework assimilates inertial sensor-based activity recognition, intelligent control algorithms, and BAN in a modularised hardware architecture. Consequently, the proposed system can monitor activities of daily living and provide automated intentions. The modularised hardware architecture facilitates the use of single sensing and controller platform for multiple treatment devices. We validate the proposed framework by implementing and testing a prototype automated compression therapy device.