Biomedical

Applications of Signal Processing

26 - 30 March, 2007

Introduction

This module is designed for students and professionals who have a basic understanding of signal processing theory and techniques, but wish to extend their knowledge and experience in the application of these techniques in medicine and the biomedical sciences. Delegates attending this course would typically have a degree in engineering or physics, and have already taken an introductory course in signal processing.

Basic principles of signal processing will be reviewed, and the background to more advanced techniques will be presented, but the focus will be firmly on the application of the methods in patient recorded data, for the solution of clinical relevant problems. Extensive practical work, using Matlab® software, will provide hands-on experience.

Aims

• To provide you with an awareness of the origin and characteristics of a range of biomedical signals, and some of the specific problems and objectives of biomedical signal processing.

• To strengthen your understanding of signal processing methods through practical examples in applications on biomedical signals.

• To provide you with key skills and hands-on experience for successfully applying signal processing methods in a multidisciplinary biomedical environment, for diagnosis, patient monitoring and physiological investigation.

Course Content

• Physiology and characteristics of biomedical signals.

• Source of noise and artefact.

• Noise reduction techniques (filters, including optimal and adaptive techniques).

• Coherent averaging.

• Spectral estimation and its application in the analysis of biomedical signals.

• System identification methods for physiological data.

• Feature extraction techniques.

• Basic understanding of digital signal processing, including sampling, digital filters, Fourier transforms, spectral analysis and correlation.

• Familiarity with Windows-based computers.

• Basic familiarity with Matlab programming. For students with programming experience in other languages, the student version of Matlab, and self-study exercises can be provided prior to the module.

• For students aiming to use this course as part of an MSc-program, a first degree (1^st or 2^nd class honours) in science or engineering may be required.

Dr. David Simpson 
Prof. Robert Allen 
Prof. Mark Lutman

Cost

The normal cost of the course is £850. Please contact David Simpson regarding possible discounts, if you already are a student at a UK University or are working at the Southampton University Hospitals NHS Trust.

The course fee includes

• Full notes (paper and CD)

• Sample signals

• Exercises

• Tutorial support

• The student version of the software MATLAB® 

• Routines to execute commonly used biomedical signal processing and analysis techniques

Deadline for booking: 12 March, 2007.