The aim of this module is to introduce students to the role of biomedical sensors in tracking heath biomarkers of the major anatomical systems within the human body: circulatory, respiratory, musculoskeletal and nervous systems. Sensors will be attached to data analytical systems and students will design experiments to validate the sensor performance.
Mapping: Systems and knowledge mapping using mind mapping techniques
Coding, planning and analysis techniques: Variables, loops, conditional statements, Boolean logic, subroutines and data structure design. Pseudocode, flowcharts, state machine diagrams, code analysis and validation
Statistical techniques for data analysis: Mean, minimum, maximum, mode, median, standard deviation
Design of experimental techniques: 2 factor experimental design
Signal processing techniques: Nyquist, high, low and band pass filters, instrumental amplifiers, voltage dividers and Wheatstone bridges
Academic presentation techniques: Using a range of reporting techniques that could include reports, posters and presentations
