This module will be first offered in the 2018/19 academic year.
The students will work as teams to design, build and test a minimally invasive health and wellness monitoring platform. The system will collect data from a number of wearable sensors including accelerometers, gyroscopes, pulse oximeters, temperature and make the data available through a decision support system. The system will provide feedback to both the patient and the professional for optimal patient monitoring.
Conventional laboratory experiments are useful mainly to assist understanding or analysis: because they are of necessity stereotyped; they are of limited usefulness when a circuit or system must be designed to meet a given specification. The majority of engineering tasks fall into this latter category, and therefore require design or synthesis skills that are distinct from the understanding of underlying engineering principles. This is additional to the analysis skills emphasized in the course so far. 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 exercises have real deadlines and concrete deliverables and students are encouraged to be creative, develop imaginative solutions and to make mistakes.