Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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L<br />
~~530 Scientific Instrumentation B<br />
10.0 credit points<br />
No. <strong>of</strong> hours per week: four hours<br />
Prerequisite: SP430<br />
Assessment: examination, assignments and<br />
laboratory reports<br />
A fourth-year subject for students majoring in<br />
instrumentation.<br />
Subject description<br />
Artificial neural networks: an introduction to artificial<br />
neurones. Linear separability and the need for a non-linear<br />
transform in the neurone. The basic architectures <strong>of</strong><br />
networks <strong>of</strong> artificial neurones, feed forward, feed back and<br />
cascade. The perception, Adeline and Madeline. The credit<br />
assignment problem. The back progoagation algorithm.<br />
Scaling input data. Common training problems. Limits <strong>of</strong><br />
back propoagation networks.<br />
Nuclear instrumentation: semiconductor detectors, computer<br />
q<br />
4 based spectrometry, activation analysis and coincidence<br />
p counting.<br />
- U<br />
-E<br />
5. ~~5.31 Biophysical Systems and Techniques<br />
P<br />
12.5 credit points<br />
$ No. <strong>of</strong> hours per week: four hours<br />
3 Assessment: continuous, by tests and<br />
2 assignments<br />
An advanced subject <strong>of</strong> the biomedical instrumentation<br />
option <strong>of</strong> the Graduate Diploma <strong>of</strong> Applied Science and <strong>of</strong><br />
the Masters course in Biomedical Instrumentation.<br />
Subject description<br />
Membrane biophysics: tracer dynamics. Applications <strong>of</strong> irreversible<br />
thermodynamics. Active and passive transport<br />
mechanisms. Membrane-based biosensors.<br />
Biophysical techniques. Electron microscopy. Electron and<br />
proton microbeam analysis. Diffraction studies <strong>of</strong> biological<br />
materials. Autoradiography. Optical methods. NMR and ESR<br />
studies.<br />
Physiological control mechanisms, mathematical models <strong>of</strong><br />
physiological systems.<br />
~~532 Clinical Monitoring Techniques<br />
12.5 credit points<br />
No. <strong>of</strong> hours per week: four hours<br />
Assessment: continuous, by tests and<br />
assignments<br />
An advanced subject <strong>of</strong> the biomedical instrumentation<br />
option <strong>of</strong> the Graduate Diploma <strong>of</strong> Applied Science and <strong>of</strong><br />
the Masters course in Biomedical Instrumentation.<br />
Subject description<br />
Physical and physiological principles in the use and development<br />
<strong>of</strong> clinical monitoring systems including biological<br />
sensors and the processing, display and storage <strong>of</strong> data.<br />
Main emphasis is placed on cardiovascular and respiratory<br />
monitoring, but novel techniques in other areas <strong>of</strong><br />
biomedical monitoring will be covered.<br />
5~534 Neurophysiological Techniques<br />
12.5 credit points<br />
No. <strong>of</strong> hours per week: four hours<br />
Instruction: lectures, laboratory exercises and<br />
tutorials<br />
Assessment: assignments<br />
An advanced subject <strong>of</strong> the biomedical instrumentation<br />
option <strong>of</strong> the Graduate Diploma <strong>of</strong> Applied Science and <strong>of</strong><br />
the Masters course in Biomedical Instrumentation.<br />
Subject aims<br />
To present a current overview <strong>of</strong> the techniques applicable to<br />
the recording and analysis <strong>of</strong> neurophysiological signals -<br />
especially those <strong>of</strong> electric or magnetic origin.<br />
Subject description<br />
Information processing within neural systems, Analysis <strong>of</strong><br />
neural mass field potentials. Clinical, cortical, subcortical, and<br />
scalp, surface recording techniques <strong>of</strong> the EEG. Spontaneous<br />
activity analysis. Neuro-psychological correlates. Evoked<br />
potentials. Time and frequency domain analysis. Stimulus<br />
classification.<br />
References<br />
Gevins, A.S. and Remond, A. (eds) Methods <strong>of</strong> Analysis <strong>of</strong> Brain<br />
Electrical and Magnetic Signals (Handbook <strong>of</strong> Electroencephalography<br />
and Clinical Neurophysidogy wised series, blume 1). Amsterdam:<br />
Elsevier, 1987<br />
Picton. T.W. (ed) Human Event-Related Fbtentials (Handbook <strong>of</strong><br />
Electroencephalography and Clinical Neumphysiology, revised series<br />
blume 3). Amsterdam: Elsevier, 1988<br />
Others as advised by lecturers<br />
~~535 Biomedical Project<br />
12.5 credit points<br />
No, <strong>of</strong> hours per week: four hours<br />
A compulsory subject <strong>of</strong> the biomedical instrumentation<br />
option <strong>of</strong> the Graduate Diploma <strong>of</strong> Applied Science.<br />
Subject description<br />
Tutorials in analogue and digital electronic application<br />
techniques.<br />
The development, construction and commissioning <strong>of</strong> a<br />
biomedical instrumentation system.<br />
sP537 Medical imaging<br />
12.5 credit points<br />
No. <strong>of</strong> hours per week: four hours<br />
Assessment: assignments and tests<br />
An advanced subject <strong>of</strong> the biomedical instrumentation<br />
option <strong>of</strong> the Graduate Diploma <strong>of</strong> Applied Science and <strong>of</strong><br />
the Masters course in Biomedical Instrumentation.<br />
Subject description<br />
Interrogation methods: beamed radiation (visible, IR. Microwave,<br />
X-ray, Ultrasound), internally deposited radiation<br />
(gamma rays, SPECT, PETT), selective excitation (NMR).<br />
Physical qualifies <strong>of</strong> tissue measured by the interrogation.<br />
lmage construction methods: real-time ultrasound, interactive<br />
and filtered back-projection methods in tomography,<br />
algorithms and s<strong>of</strong>tware implementation.<br />
Image enhancement methods: colour coding, edge<br />
detection, noise reduction, digital subtraction, entropy<br />
methods.<br />
Interpretation <strong>of</strong> images: image quality and contrast, system<br />
MTFs, ROC curves, information theory.<br />
~~541 Signal Processing<br />
12.5 credit points<br />
No. <strong>of</strong> hours per week: four hours<br />
Assessment: assignments<br />
An advanced subject <strong>of</strong> the biomedical instrumentation<br />
option <strong>of</strong> the Graduate Diploma <strong>of</strong> Applied Science and <strong>of</strong><br />
the Masters course in Biomedical Instrumentation.<br />
Subject description<br />
(1) Linear and non-linear systems, response functions.<br />
(2) Signals, spectra, mean square estimation, orthogonality,<br />
probability, stationary and non-stationary stochastic<br />
processes.