On 01-18-98 William Elliot wrote to John Boone...
Hello William and thanks for writing,
WE> WE> Given a function f measured at discrete times t1, t2, ...,
WE> WE> ti, ... with ti < ti' where i' = i+1, plot the pairs <
WE> WE> f(ti), f(ti') >. So what's the spread function? A measure
WE> JB> The spread function is the thousand dollar question and
WE> JB> one I am still pondering. Something, more mathematical,
WE> JB> "what is the minimum domain of the representation function
WE> JB> (f(ti),f(ti')) such that the heart shows sufficient chaotic
WE> JB> behavior?"
WE> I would think the spread function would be a measure of
WE> distribution such as standard deviation of the distances
WE> between all pairs of points.
Standard deviation would be one way. For a graphical standpoint,
the domain, the set (x,y), for healthy chaotic heart beats is
"spread out" and quite "neat" to look at.
For me, the most intuitive way to look at is the way I am
doing.
WE> WE> of what? The function of your example is 60/(Pulse
WE> WE> Interval). Why the reciprocal?
WE> JB> In response to "Why the reciprocal?" I assume by this
WE> JB> why plot (f(ti),f(ti'))? It was arbitary and gleamed by
WE> JB> the work of some in "Scientific American" four years ago.
WE> But why plot 60/(Pulse Interval)? The 60 is most likely because of 1
I am interested in the -momentary- changes of heart rate.
The P-P internal is the time from the beginning of one P-wave,
Pi, to the beginning to the next P-wave, Pi+1, representing the
time period from one beat to the next. In order to determine
heart rate, HR, it is necessary to divide 60 by P-P interval,
(60/P-P).
For example if the time for one beat to the next beat is
.5 seconds, P-P interval is .5 seconds, the persons heart
rate is 120 beats per minute, (60/.5).
WE> minuet
WE> = 60 seconds. But why not (Pulse Interval) directly or
WE> (Pulse Interval)/60?
I am interested in Heart rate, however, one could just measure
the P-P interval variability as well.
WE> JB> There are many other ways to represent the data.
WE> JB> However, it a reasonable way to represent the data.
WE> JB> If you look at a -simple- system of degree 2, pendulum
WE> JB> with moving pivot point, the representation of the
WE> JB> movement of pendulum as a function of time could be
WE> JB> done by (P(ti),P(ti')).
WE> (P(ti),P(ti')) and then (P(ti'),P(ti'')). This switch of
WE> ti to ti' defies my ability to visualize just what is
WE> happening. This glib switching the x and y axis indicates
"Scientific American" had some graphical representations
about 4 to 5 years ago. I believe "a picture is worth a
thousaund words."
IAE, make up some heart rates and plot it on a x-y
graph, here are some realistic ones. HR1=80, HR2=75, HR3=70,
HR4=85, HR5=90, HR6=72, HR7=65, HR8=75, ....
Point 1 is (80,75), point 2 (75,70), point 3 (70,85),
point 4 (85,90), etc.
WE> some conceptual symmetry I'm not grasping. Why the two
WE> dimensional data display? Why not just calculate delta-
I think they are pretty and graphical representation is
easier to "see" for me.
WE> f(t) = f(t') - f(t) and take the standard deviation of the
WE> delta-f's?
One could. For a second there, I thought I was seeing
the Newton-Raphson method , now that brings back
Numerical Analysis, and the zeros of polynominals .
WE> JB> It seems reasonable to continue the method of
WE> JB> representation with heart rate.
WE> Don't get the pendulum example, too complex. How about a
Think of a simple pendulum with the pivot point fixed.
Now move the pivot point horizontal say with a certain
omega, frequency.
Does that help?
WE> drummer, thump, thump, thump or a typist, click, click,
WE> click.
Not really sure how to do this. I'll think about it.
WE> JB> Ah, bingo, in healthy hearts, the pulse interval doesn't
WE> JB> hold steady, but in fact is "choatic." Reason, the pulse
WE> JB> interval is a representation of a multiple of excitable
WE> JB> tissue or cells, in this case, the heart.
WE> JB> IOW, the less "choatic" the heart the more unhealthy
WE> JB> it is.
WE> Hm, what about fibrillation and other erratic heart
Hard one for me to answer, in particular. But I can
answer ventricular fibrillantion, VF. VF does not plot
out "choatic", interesting no.
Of interesting note, if one looks at EEG, electro-encephalo
graph, activity, brain activity, the plot becomes very
non-chaotic just before a seizure, interesting no.
WE> mummers? Aren't they chaotic? A healthy person movements
WE> has a large plot domain while a dying person movements has
WE> a shrinking plot domain.
Yep.
WE> WE> will all fall at about the same point. A -small- spread
WE> WE> but a likelihood of death?
WE> JB> We find that as the plot domain diminishes, the less spread,
WE> JB> the more unhealthy the heart.
WE> Plot domain? The smallest rectangle with sides parallel to
WE> the axis that contains all the plotted points.
Yep, the plot, even though choatic, is constrained within
limits on the x,y plane.
WE> JB> Nope, the one I am currently reading, reentrant supraventricular
WE> JB> tachycardia, fast heart beat.
WE> JB> There doesn't seem to be much research in this area, perhaps,
WE> JB> there doesn't seem to be an awareness or understanding of "fuzzy"
WE> JB> or fractals.
WE> I've heard it rumored some years ago that medical students
WE> are mathematical shy. Is that so? Are you in medicine or
Some are, some are not. I was once a medical student.
WE> biology? Are you considering a fuzzy thesis or research
Medicine.
WE> proposal. Wish I could help you, but my fuzzy background
Research while working leaving little time for research.
WE> is scant. What you're considering would require
WE> understanding application examples. BTW, do you have
WE> access to the SCIENCE fidonet echo?
I probably could get it, but right now, I only write
in one or two echos, any more would be too much for me
time wise.
Take care,
John
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