The aim of this module is help students develop a research led approach to the selection, validation and use of biosensors to track key bio-markers. With a particular focus on the development of validation studies for the Design History File.
Research methods: Structured research methods, mind mapping, the matrix method, developing questions for the analysis of research publications, using the library resources to identify relevant research papers, characterisation of research publications, analysis of publication patterns, date, subject, applications, disseminating the literature review.
Equipment selection and validation: Selection of biosensors and post processing circuits for the analysis of biomarkers, specification development, comparing the different sensor types with respect to the data they can produce. Validation of sensor performance, tolerance, accuracy and repeatability
Experimental design: Design of a biomedical study, design of experiments and Taguchi. Ethics and safety
Numerical techniques for data analysis: Numerical techniques for the analysis of medical data: Nyquist, Differentiation, Integration, Interpolation, The Fast Fourier Transform and Discrete Fourier Transforms, software filters using Z Transforms.
Design History File preparation: Preparation of the Design History File: structure, scope, methodology, results formatting, presentation
Dissemination: The academic poster and dissemination of research results. The Biosensor conference. (Organised by the students)
