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All content in this area was uploaded by Phil B Brubaker on Jan 01, 2020

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Regular & Irregular (1 cycle) Heart Beat

data sets are needed for Math Modeling and detection of

heart problems. If you could help by providing a human,

1 cycle, heart beat data then please e-mail us at

optim.designs@gmail.com

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Typical Pulse Isolated Readback Pulses, 1980s Disc Drives Defective Pulse

Want to help solve world (math) problems?

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Here is a typical cycle ... Problem to Solution

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• Find a Math model for a -regular- or normal cycle; i.e. a Lorentzian, sinusoidal, or whatever series.

If your model has 'n' components and workers for both -regular- and -irregular- cycles you hit the

jackpot! Your 'n' value must always be the same. Other values in a math model are called

Parameters and their values will vary with each dataset.

• Build Pulse train: add 'i' -regular- cycles together separated by Tmin and add 1, 2, or 'j' -irregular-

cycles in order to build your problem. Next, find or build a 'black box' that can detect when a cycle

is -irregular-.

• Find or develop a 'pill' or 'black box' that will stop these -irregular- cycles from occurring.

Learn Curve Fitting for Industrial Applications

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With the Lorentz (function) where y = 1/(1+x*x), one can fit data to a wide variety of data. There is a

Windows App called CurvFit that has an option of a Lorentzian or Modified Lorentzian series; visit goal-

driven.net/apps/curvfit.html. Please download, install, and run some of its demo files.

If it looks okay to you, then find some example dataset to fit on the web. For example, I used Google to

search for "one-cycle heartbeat data -apple". When you find a one-cycle dataset, build a math model

using my CurvFit app. A heart-beat math model may help other researchers discover what's wrong with

a heart, or, other disease.

Would your students like to help find solutions to medical diseases/problems? Ask them to find a math

model for one-cycle heart-beat dataset problem using my CurvFit app. Suggest forwarding top 5 (or so)

CurvFit input files with the files named after the creators; e.g. JimS (for Jim Smith) or ElsaB (for Elsa

Brubaker). Link all of them with the same fileType of YYY (?). Be sure students add their 'notes'

below the "20. >> Keep notes below" line. They should also Point out any unusual things that happen

during a CurvFit run with their input (file) problem. Also a good place to put references; e.g. Dataset

came from the Oil Refinery field; or, Bob Jones provided this dataset from the magnetic disc drive field.

(Adding the xxx field may help websites locate these problem-solutions, in the future.)

Add a write-up of a paragraph or two, stating the names of students that were involved in this exercise? I

would then add your statement to my CurvFit app's manual file or ReadMe.txt files for future (free)

downloads. Hope this would encourage your students.

How about asking your students to ask their parents, grandparents, & friends if they have a dataset that

may help R & D folks solve their problems? The more folks involved the more excitement for the

students.

Math folks

Develop a math model of a regular one-cycle heartbeat. Try using a Lorentzian or Modified Lorentzian

series. Download My (free) CurvFit app for more insight.

R & D folks

Build a pulse train of regular cycle heart-beats and 1 or 2 or ??? irregular cycles. Build/develop a 'black

box' what can detect irregular cycles.

Chemistry folks

Find/develop a 'pill' or 'black box' that will stop future irregular cycles.

Irregular cycle problem solved!

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PS: A computer disc drive mfg. company had a problem similar to this irregular heart beat problem,

1985. The disc drive model consisted of 3 modified Lorentz functions. The model was tried on 200

drives; 199 drives agreed with a small standard deviation. But, the last drive showed a -major- defective

drive. Thus solving a mfg. problem with a least-square curve fit. So, it can be done ... try it!