Introductory description

ES97K-15 Computational Intelligence in Biomedical Engineering

Module web page

Module aims

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

• Introduction
  o Fundamentals
  o Basic Signal Processing Techniques
  o The need for Computational Intelligence (CI) in BME
• Artificial Neural Networks (ANNs)
  o Basics
  o Architectures
  o Optimization and Learning
  o Popular ANN architectures and learning algorithms
• Support Vector Machines (SVM)
  o Classifiers and Classification
  o Support Vector Classifiers
  o Support Vector Regression
  o Training SVMs
• Hidden Markov Models (HMMs)
  o The Markov Chain
  o The Hidden State
  o Types of HMMs
• Fuzzy Sets and Fuzzy Logic
  o Fuzzy Sets
  o Fuzzy Membership Functions
  o Fuzzy Operations
  o Applications of Fuzzy Systems
• Applications of CI to BME case studies:
  o Cardiology – ECG feature extraction, disease diagnosis
  o Neurophysiology – disease detection and diagnosis, EMG & neuromuscular disease
  o Biomechanics and Gait Analysis – recognition of pathological/ageing and falls-risk, aligned to gait

Learning outcomes

By the end of the module, students should be able to:

• demonstrate a systematic knowledge of the complex physical and physiological principles that underpin the measurement of biomedical signals/ data.
• demonstrate an advanced understanding of the principles of computational intelligence.
• systematically apply computational intelligence techniques to extract relevant information from biomedical signal measurements/ data.
• critically assess the appropriateness of different computational intelligence techniques for various problems in the field.
• participate in a multidisciplinary working group for the systematic design and development of an innovative solution to a practical problem.
• evaluate the effectiveness of techniques applied to biomedical signals/ data against specific benchmarks.

Indicative reading list

1. R. Begg, D.T.H. Lai and M. Palaniswami, Computational Intelligence in Biomedical Engineering, CRC Press, 2008,ISBN-13: 978-0-8493-4080-2
2. A V Oppenheim & R W Schafer, Discrete-time Digital Signal Processing, 2009, ISBN-13: 978-0131988422 ISBN-10: 0131988425 Edition: 3rd, Prentice-Hall: Englewood Cliffs, NJ
3. M. Hagan, H.B. Demuth and M. Beale, Neural Network Design, PWS Publishing Company, ISBN-13: 0-534-94332-2
4. Selected articles from scientific journals, including:
   a. IEEE Transactions of Biomedical Engineering, ISSN: 0018-9294
   b. Medical Biological Engineering and Computing, ISSN: 1741-0444 (electronic version)

Subject specific skills

TBC

Transferable skills

TBC