The University of Southampton
Courses

ELEC1209 Electronic Systems for Biomedicine

Module Overview

- To provide a range of circuit theory techniques for the analysis of resistive and active circuits. - To give a first acquaintance with the analysis and design of active electronic circuits. - To introduce the concept of analogous circuits. - To develop an approach to the modelling of dynamic electromechanical and electronic systems. - To introduce fundamentals of signal processing and its application real-life biomedical signals.

Aims and Objectives

Module Aims

- To provide a range of circuit theory techniques for the analysis of resistive and active circuits. - To give a first acquaintance with the analysis and design of active electronic circuits. - To introduce the concept of analogous circuits. - To develop an approach to the modelling of dynamic electromechanical and electronic systems. - To introduce fundamentals of signal processing and its application real-life biomedical signals.

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • Key network theory concepts for resistive circuits.
  • The operation of bipolar, field effect transistors, and op-amps.
  • The concepts of transfer functions, block diagrams, poles and zeros and simple feedback systems.
  • The fundamental concepts of signal representation and its analysis methods applicable for real-life biomedical signals.
Transferable and Generic Skills

Having successfully completed this module you will be able to:

  • Record and report laboratory work.
  • Understand the principles of defining problems in standard form to allow standard solutions.
  • Meet this module's contribution to the transferable and generic learning outcomes of ELEC1029.
Subject Specific Practical Skills

Having successfully completed this module you will be able to:

  • Analyse simple circuits containing active elements such as bipolar transistors, FETs and Op-amps.
  • Appreciate the practical limitations of such devices.
  • Understand the links between mathematical concepts and be able to apply them to a range of engineering problems.
  • Understand the operations of the basic building blocks for remote monitoring of Elecrocardiogram signal.
  • Meet this module's contribution to the subject specific practical learning outcomes of ELEC1029.
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • Apply key network theory to allow the abstraction of problems.
  • Appreciate the importance of linearising systems, and the use of linear models.
  • Determine the transfer function and step response for a system of any order.
  • Derive transfer functions for mechatronic and electromechanical systems.
  • Apply basic signal processing methods for analysing and extracting information content from a physiological signals.

Syllabus

MESH AND NODAL ANALYSIS - Mesh analysis for circuits with voltage sources and resistors - Matrix notation for mesh equations - Gaussian elimination - Nodal analysis for circuits with current sources and resistors - Analysis of circuits with both current and voltage sources DEPENDENT SOURCES - Types of dependent source - The operational amplifier and bipolar transistors as applications of dependent sources - Mesh and nodal analysis with dependent sources - Superposition with dependent sources THEVENIN AND NORTON THEOREMS - Thevenin's theorem - Source transformation - Thevenin's theorem with dependent sources - Norton's theorem - Analysis of ladder networks STAR–? TRANSFORMATION FETs - JFETs and MOSFETs - Large signal characteristics (FET and Bipolar) - Enhancement and depletion devices - Power MOSFETs - Analogue Switches - MOS Invertors SMALL-SIGNAL ANALYSIS OF TRANSISTOR (FET OR BIPOLAR) CIRCUITS - Small-signal approximation - Common emitter amplifier: DC and AC analysis - Voltage, current and power gain - Common collector amplifier: analysis and mode of operation - Application to FETs (Common source, common drain) OPERATIONAL AMPLIFIER CIRCUITS - Linear op amp circuits: inverting/non-inverting amplifier, adder, subtractor, voltage follower - Buffers, cascading - Schmitt trigger, precision diode - Introduction to frequency dependence, integrator BIOMEDICAL SIGNAL PROCESSING - Signal representation and characteristics - Signal arithmetic - Sampling and digitisation - Time-domain signal analysis fundamentals - Frequency-domain signal analysis fundamentals - Introduction to “time-frequency” domain signal processing - Electrocardiogram (ECG) signal - ECG analysis in time and frequency domains CONTROL - Linear Time Invariant Systems and Ordinary Differential Equations - An alternative approach to time-based analysis - Transfer Functions, Poles, Zeroes and the Characteristic Equation - Block Diagram Notation - Standard Inputs and System Response - Initial Conditions and System Response - Negative Feedback and Proportional Control - Case Study: Electronic control of a dc servomotor for robotic applications

Special Features

These technical labs consider Amplifier Input/Output Impedances and Loading Effects, Operational Amplifiers, fundamentals of signal analysis and biomedical signal processing of Electrocardiogram (ECG), addressing the above-listed learning outcomes. They are conducted under the umbrella of ELEC1029 but the marks contribute towards this module. Skills labs are conducted under the umbrella of the zero-credit ELEC1029 module and address its learning outcomes. The marks contribute to a number of ELEC12xx modules, including this one.

Learning and Teaching

TypeHours
Lecture36
Tutorial12
Specialist Laboratory18.8
Total study time66.8

Resources & Reading list

Adam Gacek, Witold Pedrycz (2012). ECG Signal Processing, Classification and Interpretation. 

Fabian J. Theis, Anke Meyer-Base (2010). Biomedical Signal Analysis: Contemporary Methods and Applications,. 

Jonathan (Y) Stein (Nov. 2000). Digital Signal Processing: A Computer Science Perspective. 

Diniz, P.S.R., Simpson, D.M., De Stefano, A. and Gismondi, R.C. (2003). Digital Signal Processing with Application in Medicine. 

Assessment

Summative

MethodPercentage contribution
Coursework assignment(s) 10%
Exam  (2 hours) 70%
Skills Laboratories 10%
Technical Laboratories 10%

Referral

MethodPercentage contribution
Exam 100%

Repeat Information

Repeat type: Internal & External

Share this module Facebook Google+ Twitter Weibo

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×