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Fundamentals of Biomedical Engineering

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Expensive and costs rising due to new technology ... Andorra. 82.67. 3. Japan. 82.07. 4. Singapore. 81.89. 8. Sweden. 80.63. 9. Australia. 80.62. 10 ... – PowerPoint PPT presentation

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Title: Fundamentals of Biomedical Engineering


1
Fundamentals of Biomedical Engineering
  • Introduction

2
Biomedical Engineering
  • Electrical, mechanical, chemical, material
    systems engineering
  • Biology
  • Medicine
  • Maths
  • Physics
  • Chemistry
  • Computer science

3
Health Care
  • Expensive and costs rising due to new technology
    (biomedical engineering)
  • USA 16 of Gross Domestic Product (GDP)
  • Australia 9.5 GDP
  • UK 8.0 GDP
  • New technology must be cost effective
  • Insatiable demand for treatment, so rationed
  • Availability (queues)
  • Price
  • Human life worth Aus200,000

4
Health Care Costs
5
Outcomes Life Expectancy
6
Outcomes Infant Mortality
7
Outcomes child maternal mortality rates
8
Outcomes health life expectancy
9
Input health spending
10
What Gives Rise to Good Health?
  • High spending on health does not necessarily
    correlate with good health (e.g. USA)
  • Public health preventative medicine important
  • Countries that have moved from 3rd world status
    to 1st world status have spent most of their
    money on health care in the early stages of
    development (Prof. Hans Rosling)

11
Biomedical Engineeringan Interdisciplinary
Science
  • Communication between medical practitioner and
    engineer is critical
  • Easier for engineer to learn medical jargon than
    vice versa
  • Essential to understand medical problem
  • Different philosophies
  • Medicine is an art requiring value judgments
  • Engineering is more scientific, mathematical and
    hierarchical

12
Similarities of Biomedical Engineering and
Medicine
  • Collection of data (monitoring of patients)
  • Analysis of data (reduction or transformation)
  • Decision making (diagnosis)
  • Therapy
  • Preventive medicine

13
Mathematical Modelling
  • Biological systems are complex, easily damaged,
    so not all parts are observable
  • Mathematical model can be used to predict
    unobservable parts of system using observable
    parts as inputs

14
Control of Biological Systems
  • Simple proportional, integral and differential
    control systems (PID)
  • Model reference adaptive control e.g.
  • After cardiac surgery, heart is weak, blood
    pressure through major organs (brain, heart,
    kidneys) is critical, not easily measured
  • Drugs that stimulate or relax the heart injected
    by motorised pump
  • Blood pressure measured at arm
  • Blood pressure at brain, heart, kidneys
    calculated from model
  • Model adapts from response to disturbances
    created by periodic fixed injections of different
    drugs
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