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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

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.
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.
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.

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–Δ 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

Learning and Teaching

TypeHours
Specialist Laboratory 18.8
Tutorial12
Lecture36
Total study time66.8

Resources & Reading list

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

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

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

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

Assessment

Summative

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

Repeat

MethodPercentage contribution
Examination 100%

Referral

MethodPercentage contribution
Examination 100%

Repeat Information

Repeat type: Internal & External

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