Electronic Systems for Biomedicine

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.

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Derive transfer functions for mechatronic and electromechanical systems.
• Apply key network theory to allow the abstraction of problems.
• Apply basic signal processing methods for analysing and extracting information content from a physiological signals.
• 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.

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• 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.
• Understand the operations of the basic building blocks for remote monitoring of Elecrocardiogram signal.
• Analyse simple circuits containing active elements such as bipolar transistors, FETs and Op-amps.
• Appreciate the practical limitations of such devices.

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.
• Record and report laboratory work.
• Meet this module's contribution to the transferable and generic learning outcomes of ELEC1029.

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

Resources & Reading list

Textbooks

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

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

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

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

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

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.

Repeat Information

Repeat type: Internal & External