Research ProposalPDF Available

# (Human) Heart Beat Math Model found with the CurvFit App ... used Lorentzian series for model

Authors:
• Optimal Designs Enterprise

## Abstract and Figures

We are seeking High School & College math teachers that may be interested in the following problem: "Detection of an Irregular (Human) Heart Beat" by Curve Fitting data sets to some math models (see attached file). This type problem would be of great help for many future Engineering & Science students in industry. Do you know of any HS teachers that might be interested in teaching such? If so, please forward a copy of this msg. and attached file to them. Thanks, Phil 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!
Content may be subject to copyright.
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-
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)
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