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ORT21BMI

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Here's a saccade, recorded in our lab, using an infrared reflectance eye tracker ... What about the little peak on the saccade at 33.6 sec? ... – PowerPoint PPT presentation

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Title: ORT21BMI


1
ORT21BMI
  • Week 5
  • Principles of biomedical instrumentation

2
Clinical context
  • Youre still working on doing the ERG on the
    patient with night-blindness.
  • Youve made sure that the unit was safety
    inspected
  • Now youre ready to set up
  • It says electrode impedance limit exceeded
  • Theres a low pass filter cutoff to set
  • Theres a high pass filter cutoff to set
  • You say stuff it and start anyway, getting a
    signal
  • It looks odd
  • Is it disease? Is it a set-up mistake?
  • What to do???

3
Learning goals
  • Being comfortable with the following concepts and
    their clinical relevance
  • Input impedance
  • A. What is impedance?
  • B. Why should it matter to clinicians?
  • AC vs DC coupled circuits
  • A. Why isnt everything one or the other?
  • B. How to make the choice and understand the
    implications
  • Frequency-related issues
  • A. Frequency of what? Decomposing things into
    their basic frequencies
  • B. What does frequency response of an
    instrument mean?
  • C. What is filtering and why should you care
    about it?

4
A reminder...
Patients eyes brain
Instrument
You
5
What well cover
  • Techie stuff
  • Some technical vocabulary is necessary if
    youre going to use clinical instrumentation,
    particularly regarding ERGs VERs, safely and
    accurately
  • But dont built-in computers do all that now?

6
Why you should care
  • Just because all the knobs and switches have been
    replaced by software settings, this doesnt mean
    that the instrument will set itself up for each
    individual test
  • Different tests require different configurations
  • Asking a piece of electronics to do your
    professional thinking for you can lead to results
    which may look lovely on the display but be wrong
    and clinically incorrect

7
(No Transcript)
8
Starting at the beginning--the input
  • A common specification for any electronic
    instrument is its input impedance
  • Higher is better
  • But whats impedance?
  • Does it help to say its the alternating current
    equivalent of resistance? That it varies with
    frequency?
  • I thought so...

9
OHMS LAW
  • V IR
  • Where
  • V Voltage
  • I Current
  • R Resisance

10
The capacitor and its impedance
  • Because properly defining impedance requires the
    use of imaginary numbers, well dance around it
    in an approximate way, trying to use physical
    explanations
  • The most clinically important circuit component
    with impedance is the capacitor

11
Meet the capacitor
  • Lets try analogies again
  • Recall that resistance was compared to an
    obstruction to the flow of water
  • Capacitance is rather like a bucket that the
    fluid can collect in, or a room that the people
    can fill
  • A bigger bucket or larger room can hold more
  • Capacitors do something similar, but for electric
    charge

12
Impedance and the capacitor
  • Before considering alternating current, well
    start with the simplest situation, where you have
    a DC source (a battery) and it is suddenly
    connected to a resistor and capacitor, connected
    in series
  • The capacitor is simply 2 parallel conductive
    plates, close together but not touching
  • What are the conditions before and after the
    switch closes?

13
Applying a DC voltage to a capacitor
  • When the circuit is open, nothing happens
  • Close the switch and current flows, charging up
    the plates of the capacitor
  • The speed of this is determined by the resistance
    in series with the capacitor
  • When the charge on the plates equals that of the
    voltage source, theres no voltage difference and
    hence no current
  • The capacitor is now fully charged
  • So the DC voltage led to only a transient current

14
What if the voltage isnt DC?
  • In AC, the voltage swings between positive and
    negative periodically, as described by its
    frequency (eg, 50 Hz)
  • What happens when you apply an AC current to a
    capacitor?
  • Start considering it at the point where V 0
  • How does the size (capacitance) of the capacitor
    affect it?

15
How is this expressed?
  • The symbol for impedance is Z, also measured in
    ohms (?)
  • In physics books, its expressed with both
    resistive and reactive components as a complex
    number
  • Well just consider the magnitude of impedance,
    and only for capacitors

16
So?
  • What does Z do as frequency goes up?
  • Whats the impedance of a capacitor for DC?
  • How does impedance vary as capacitance goes up?

17
What if you have Rs and Cs?
  • Can combine impedances and resistances in the
    same way that you do resistances alone.
  • Wont be doing much analytically, but well see
    situations with resistors and capacitors in
    parallel - need to understand how different
    currents could flow
  • Need to?
  • Currents travelling from the eye or brain through
    tissue into electrodes traverse structures whose
    electrical properties can be represented by
    combinations of Rs and Cs

18
Highs and lows of impedance
  • If you are doing a clinical recording, there are
    places you want the impedance to be high and
    places you want it to be low
  • Understanding these will help you generate
    accurate, clinically useful information
  • Lets start by considering the impedance of
  • 1) the electrodes
  • 2) the recording device
  • Which should be high and which should be low?

19
Heres the set-up
  • Signals include the ERG and biological noise
    sources
  • Each element has an impedance Z
  • It also has a voltage drop V across it

Tissue electrode impedances are generally in
1000s of ohms instrument impedance is usually
1000,000 ohms
20
Points to consider
  • First, consider the source
  • A human retina isnt a great power source
  • It cant supply much current
  • You want to measure Vsignal as accurately as
    possible with your instrument
  • Vmeasured Vsignal as close as possible

Velectrode
Vtissue
21
What needs to be done?
  • What voltages exist in the circuit?
  • Vsignal,, Vtissue,, Velectrode, Vmeasured
  • It should be clear that you want Vtissue and
    Velectrode to be as low as possible if Vmeasured
    is to approximate Vsignal
  • How?
  • Since V IZ, to make the Vs low, make the Zs low

22
What can you control?
  • You cant get more current out of the retina
  • But some things are directly in your control
  • Vtissue depends on Ztissue, and that you can
    sometimes influence
  • If using skin electrodes, you can clean and
    lightly abrade the skin on the scalp, have
    patients wash their hair. Not much you can do
    for the cornea.
  • Velectrode also depends on Zelectrode
  • Use the best electrode for the task
  • Be sure its clean
  • If its a skin or scalp electrode, use the right
    electrode paste

23
But wont this raise the current, not reduce the
voltage?
  • Not really--compare the input impedance to the
    others
  • What determines the current flow is this
    impedance
  • So, what should it be, high or low?
  • What would Vinstrument input be if Zinstrument
    input approached infinity? Why?

24
Doing what you can...
  • If youre recording an EOG or VEP, you have
    something like this
  • What can you have an effect on?

25
Instrument input types
  • There are two basic types of inputs that almost
    any electronic device can have--those that allow
    DC through and those that dont
  • Those that do are called DC-coupled
  • Those that dont are called AC-coupled
  • Since AC can get through if DC, can why not
    always be sure that any signal can be processed?

26
Not every signal has a constant component
  • Recall the electroretinogram
  • Does it have any extended, fixed regions?
  • How about an electrooculogram?
  • How stable is it?
  • Notice the difference?
  • (note time scales)

27
But why not accommodate both?
  • Think back to the discussion of electrode-tissue
    interactions
  • Recall the problems of drift and mechanical
    disturbance
  • Consider a large (0.5V) offset added to a tiny
    (0.5mV) ERG signal
  • What would happen to the offset if you tried to
    increase the ERG components amplitude to 0.5 V?
  • Do you sense an electronics problem here?

28
A problem
  • If your desired signal (ERG, VEP, etc) has no
    clinically significant DC component, why process
    an artifactual DC component?
  • You can avoid this by blocking DC at the input
  • What electrical component weve recently met will
    keep DC from passing?
  • Buy why not always keep out DC?
  • Recall that EOG of a saccade?

29
How to choose?
  • Heres where your knowledge is key
  • The instrument doesnt know what youre doing
  • It may have default settings
  • They may be wrong
  • Its up to you to know what the biopotential
    youre recording consists of and set up your
    apparatus appropriately

30
For example, consider the EOG
  • When used to record saccades, it must reproduce
    the period of fixation after the movement
  • Which sort of coupling does this the best?
  • Could the wrong choice be clinically misleading?

31
What about other frequencies?
  • Remember a concept that you encountered when you
    learned about contrast sensitivity
  • Recall the VisTech chart in Room 317?
  • Remember how the little patches of sine wave
    gratings got finer and finer?
  • The contrast sensitivity function is important
    because it considers the fact that all visual
    images are composed of a wide range of spatial
    frequencies

32
The frequencies of things
  • Fine detail is composed of high spatial
    frequencies large structures consist of low
    spatial frequencies
  • Every visual image can be decomposed into its
    individual spatial frequency components

33
Filtering
High frequencies removed
Low frequencies removed
Whats missing in each example? Whats still
present?
34
Sharp corners mean high frequencies
  • Consider the difference between square and sine
    waves (as in gratings or as graphs)
  • Which shows abrupt changes?
  • Which is smooth?
  • How do you get from one to the other?
  • It can be shown that a square wave of frequency
    f consists of a fundamental sine wave of
    frequency f, plus scaled sine waves that are odd
    harmonics of f that is, 3f, 5f, 7f, 9f
  • To illustrate

35
The birth of a square wave
The more odd harmonics you add, the squarer the
result
36
SO?
37
All signals can be broken down this way
  • Signals varying in time, not just space, are made
    up of different frequencies
  • Think of speech
  • deep vs. high-pitched voices
  • Think of colour
  • red vs. violet
  • Think of electroretinograms
  • Recall the relatively brief a-wave, the long,
    slow b-wave and the much more rapid oscillatory
    potentials

38
What does filtering do to clinical data?
  • Below is the actual recording of a visual evoked
    potential the raw data are shown by the fuzzy
    dots, the low-pass filtered version by the solid
    line.
  • Whats the difference?
  • What does low-pass filtering mean?

39
Why removing parts of signals may be good to do
  • Anything that changes the frequency content of a
    signal is a filter
  • Think tinted glasses or the tone controls on your
    sound system
  • Why would you want to do this clinically?
  • Recall all the types of unwanted noise that can
    contaminate a physiological signal
  • The more of them you can remove, the better
  • Knowing what you can and cant get rid of is
    clinically important

40
Why would a VEP be noisy?
  • Where does the signal come from?
  • Whats between the origin of the signal and the
    recording device that could contribute noise?
  • How separable is that noise from the much-desired
    signal?
  • Heres where some knowledge is helpful

41
Separating the signal from noise
  • You need to know two key things
  • 1) the frequency content of the signal
  • 2) the frequency content of the noise

42
Consider two extremes
  • Recording individual muscle fibre activity (that
    is, individual spikes) with a needle electrode
  • Recording the change over 20 min in the
    electrooculogram after a change in illumination
  • Which of these contains mostly high frequency
    activity and which low frequency?

43
AC vs DC coupling as a special case of filtering
  • When you AC-couple an instruments input, what
    are you keeping out?
  • Allowing high frequencies through but not low
    frequencies is called high-pass filtering
  • What, then, does low pass filtering allow through
    and what does it keep out?
  • If its good, isnt more always better?

44
Lets look at some simple tests
  • Here and for the next few slides, well look at
    what happens when we filter 10 msec and 1 sec
    pulses with various cutoff frequencies
  • The same type of filter was used for each
  • From the left, these have 50, 10 and 5 Hz cutoffs

What happens to the signals?
45
And high-pass filtering?
  • Heres an example filtered with 0.1 (left) and 10
    Hz (right) cutoffs
  • What happens to the original signal?

46
An example from real data
  • Heres a saccade, recorded in our lab, using an
    infrared reflectance eye tracker
  • Thus, theres no muscle noise, but that doesnt
    make it noise-free
  • To get of what remains, why not low-pass filter
    the daylights out of it?
  • What happens?

47
The results...
  • Notice the good things--the noise riding on the
    raw signal is gone in both the filtered traces
  • But what about the timing?
  • What about the little peak on the saccade at 33.6
    sec?
  • Is the heavily filtered trace any more different
    from the other two?

48
Concerns
  • What if timing of a major peak is diagnostically
    crucial?
  • What if little features are vital (think
    oscillatory potentials in the ERG)?
  • See what too much filtering can do to you?
  • And with modern technology its so easy to do!
  • Youre a professional--dont let a computer do
    your thinking for you.
  • Just because a device has default settings
    doesnt make them right for your investigation

49
So what do you need to know?
  • To reiterate, you need to know first of all what
    frequencies compose your signal
  • Only then can you decide what you can safely
    filter out
  • Then you have to decide how much noise you can
    remove without harming the signal

50
Does it matter what sort of filter you use?
  • What do I mean, what sort?
  • In the old days, filters were all electronic
  • Today, much filtering is done by computer
  • Are they the same or different?
  • Yesbut thats for later.
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