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Please note - Swinburne University of Technology

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~~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.

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