In this module you will work as a team to develop a home-based platform for non-invasive health and wellness monitoring that could be deployed for rehabilitation purpose, particularly for Stroke patients. This module includes design assignments that have been devised to provide a bridge between 'conventional' experiments and the project work in the third and fourth years, (which in turn provide a bridge to 'real' projects in industry). The system you will design will collect data from a number of wearable sensors including accelerometers, gyroscopes, and make the data available through a Decision Support System (DSS) that you will develop in the lab. Through this DSS, the system will provide automated feedback to both the patient and the professional for optimal patient monitoring.
The exercises have multiple research elements, such as, data analysis, signal processing and machine learning with outputs appropriate for real-life clinical monitoring applications. We encourage students to be creative, develop imaginative solutions and to learn from their mistakes.