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:
- 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.
- Key network theory concepts for resistive circuits.
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- 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.
- Record and report laboratory work.
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- Appreciate the practical limitations of such devices.
- Understand the operations of the basic building blocks for remote monitoring of Elecrocardiogram signal.
- Understand the links between mathematical concepts and be able to apply them to a range of engineering problems.
- Meet this module's contribution to the subject specific practical learning outcomes of ELEC1029.
- Analyse simple circuits containing active elements such as bipolar transistors, FETs and Op-amps.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Apply basic signal processing methods for analysing and extracting information content from a physiological signals.
- Apply key network theory to allow the abstraction of problems.
- Derive transfer functions for mechatronic and electromechanical systems.
- Determine the transfer function and step response for a system of any order.
- Appreciate the importance of linearising systems, and the use of linear models.
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
Type | Hours |
---|---|
Specialist Laboratory | 18.8 |
Lecture | 36 |
Tutorial | 12 |
Total study time | 66.8 |
Resources & Reading list
Textbooks
Fabian J. Theis, Anke Meyer-Base (2010). Biomedical Signal Analysis: Contemporary Methods and Applications,. MIT press.
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.
Adam Gacek, Witold Pedrycz (2012). ECG Signal Processing, Classification and Interpretation. Springer Publishing.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Continuous Assessment | 30% |
Final Assessment | 70% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Set Task | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Method | Percentage contribution |
---|---|
Set Task | 100% |
Repeat Information
Repeat type: Internal & External