Fundamental Theory of AI Signal Processing - Types of Measuring Blood Glucose - Engineering Assignment Help

Assignment Task:

Introduction of Project

The objectives of the project are to learn the fundamental theory of AI signal processing. For signal processing we will study three methods, they are principal component analysis, partial least square regression and multilinear regression. After understanding the fundamental theory on AI signal processing, we will need to select the best methods base on the weightage of the advantages and disadvantages, we will then apply the algorithm using MATLAB and several simulation tests will be performed to better understand on the relationships between the inputs and outputs, variables and the outcome of the results. Apart from applying the algorithm, knowledge of photoacoustic imaging is also required in this project. To conclude the scopes of the project, using an AI algorithm to enhance a non-invasive photoacoustic sensor in terms of sensitivity and specificity which can be used to measure the blood glucose.

1. List 2 types of measuring blood glucose.

a) Invasive method. (finger prick method)

b) Non-invasive method. (Using Photoacoustic sensor)

c) Why choose Non-invasive method.

2. Introduction of Photoacoustic
a) General introduction of Photoacoustic
b) Different types of PA model used for simulation purposes (related to measuring blood glucose)    

• Bipolar “N-shape” pulse from an optical absorber

a) Introduction
b) Characteristic
c) Mathematical Theory

• Photoacoustic damping oscillation effect

a) Introduction
b) Characteristic
c) Mathematical Theory

3. System design of the portable photoacoustic sensor

• Single Wavelength System

a) System Design
b) Power Management Circuit Design
c) Laser Diode Driver
d) Buffer Circuit Design for Gate Input

• Dual-wavelength system

a) System design
b) Dual-Wavelength working Principle
c) Laser switch and Level Shifter
d) Graphical User Interface (GUI)
e) Operating procedure

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