Advanced Physiological Monitoring and Data Analysis (PG)

Module aims

The module will focus on core aspects of biological and clinical measurement; Data handling and fitness for purpose (Statistics of measurement); Sampling (using microdialysis, microfluidics); Biopotential measurement - particularly patch clamp measurement; Chemical measurement in cells and in vivo: Sensors and Biosensors and detection methods; Electrochemical sensors; Bioassays.

Learning outcomes

Explain the concepts of fitness for purpose, calibration and reliability of measurement as applied to physiological monitoring; Apply the principles of bioanalytical science to the analysis of cells, isolated tissue and in vivo measurement; Explain of the importance of temporally resolved data in the understanding of complex physiological systems; Critically review and make use of research papers in the area of physiological monitoring and bioanalysis; Assess whether measurement methods used in a study are fit for purpose; Explain features of experimental data using knowledge and understanding obtained during the course; Assess whether conclusions are justified by measured data; Calculate measurement statistics

Module syllabus

Data handling and fitness for purpose. Normality of experimental data, including types of error Physiological monitoring. Electrochemical sensors. Introduction to journal reading. Measurement in tissue. The extracellular space. Measurement in tissue. Microdialysis general principles. Microfluidics. Biopotential measurement.

Pre-requisites

 None Simple algebra / calculus only for the statistics of measurement part.

Teaching methods

Students will be taught over one term using a combination of lectures, journal clubs and study groups. Lecture sessions will be made available on Panopto for review and supplemented with technologies as apprpriate to promote active engagement during the lecture such as 'learning catalytics'. Journal clubs will involve presentation and discussion of academic papers. Study groups will be based on taught content from lectures to reinforce these topics and allow students to test their understanding. 

Lectures: 15 hours

Assessments

Examinations:

Written exam: The course will be assessed 100% by exam taken in May/June examination period; 100% weighting

Rubrics: Exam in May and 2.5 h long; Students choose 4 from 4 questions; two sections. A Dr O'Hare, B Prof Boutelle
No type of previous exam answers or solutions will be available

Feedback : Feedback to data handling problems given in catch-up session Feedback to Journal clubs given during each session