by
Roslee Abdul Jalil |
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Roslee Abdul Jalil |
| Objectives: To analyse signal from the photoacoustic sensor and provide necessay signal conditoning for evaluation of blood glucose. |
| Non Invasive Blood Glucose Monitor |
| Diabetes, which afflicts as many as 15 million Americans, is one of the most prevalent of all chronic conditions. Monitorting of Blood glucose is an important procedure for any diabetic subject. A diabetic requires a daily routine of multiples finger stabs to obtain his blood glucose measurement. Current technology is moving towards for non-invasive monitoring. Such non-invasive method are laser spectroscopy or the near infra-red sensing method. |
| PhotoAcoustic Spectroscopy |
| When a pulse of laser light is absorbed by an analyte, the optical energy may be dissipated as heat which causes a sudden local temperature rise. The subsequent thermal expansion generates a pressure waves which can be detected with a sensitve acoustic detector. Photoacoustic spectroscopy is a long established technique which has been revitalized by the availability of new optoelectronic components from the telecommunication industry.This technique of sensing will be applied to the non-invasive measurement of blood glucose in the blood and the monitoring of oil in the water. The processing of data for the photoacoustic sensor will be carried out using wavelets transform. |
| Wavelet Transform |
| Wavelet transform has become a powerful alternatives to Fourier Methods in many medical applications. Fourier transform expands time domain signals into orthogonal basis functions (sines and cosines), thereby revealing the frequency content of the signals. The frequency components are not localised in time and are best suited for describing and analysing stationary signals. Wavelet analysis expands signals into basis functions by expanding, contracting and shifting with a single prototype function. Wavelet transform is an operation of decomosing a signal into different components that appear at different scales (or resolutions). |
| MIPHACS Project |
| Wavelets signal processing is part
of the colloborated project from Micro Photo Acoustic Sensor Project
MIPHACS
group. The main objective of the whole project is to established
the technological basis for a new generation of analytical instruments
based on monolithically integrated pulsed photoacoustic sensor. The
project objectives is to construct a modular instrument system which will
have a high content of innovative optoelectronicand microsystem engineering
with appropriate control and calibration software.
This project is divided into various sections: Feasibility Studies of PhotoAcoustic
Sensor for Medical Applications
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| Project Supervisors
:Dr
Marc Philippe Yves Desmulliez Dr
Patrick Foulk |
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Pang
Ah Ju Roslee
Abdul Jalil Ryan
Porter
Chris Lupton Chris
Thomson Simon
Fidders
John MacKenzie |
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MIPHACS
Group Email |
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Roslee
Abdul Jalil