دانشگاه صنعتي اميركبير
Download
1 / 57

آشوب و بررسی آن در سیستم های بیولوژیکی - PowerPoint PPT Presentation


  • 159 Views
  • Uploaded on

دانشگاه صنعتي اميركبير دانشكده مهندسي پزشكي. آشوب و بررسی آن در سیستم های بیولوژیکی. ارائه راحله داودی استاد دكتر فرزاد توحيدخواه دی 1388. What is talked in this seminar: Introduction to chaos Chaos properties History Fractals Chaos and stochastic process Logistic Map.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' آشوب و بررسی آن در سیستم های بیولوژیکی' - usoa


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

دانشگاه صنعتي اميركبير

دانشكده مهندسي پزشكي

آشوب و بررسی آن در سیستم های بیولوژیکی

ارائه

راحله داودی

استاد

دكتر فرزاد توحيدخواه

دی 1388



  • What is talked in this seminar: (continue)

  • Biological models producing chaos

  • Chaos in heart sign of healthy or disease?

  • Application:

  • Model of heart rate

  • Applying chaos theory to a cardiac arrhythmia


  • One behavior of nonlinear dynamic systems

  • Unpredictable for long time but limited to a specific area (attractor)

  • Seems to be random while it happens in deterministic systems

  • Highly sensitive to initial condition


Chaos Properties:

  • Fractal (Self Similarity)

  • Liapunove Exponent (Divergence)

  • Universality


History

  • Henri Poincaré - 1890

  • while studying the three-body problem, he found that there can be orbits which are non-periodic, and yet not forever increasing nor approaching a fixed point.


Poincare &Three body problem

The problem is to determine the possible motions of three point masses m1,m2,and m3, which attract each other according to Newton's law of inverse squares.


History …

In 1977, Mitchell Feigenbaum published the noted article “ Quantitative Universality for a Class of Nonlinear Transformations", where he described logistic maps. Feigenbaum notably discovered the universality in chaos, permitting an application of chaos theory to many different phenomena.


History …

Edward Lorenzwhose interest in chaos came about accidentally through his work on weather prediction in 1961.

  • small changes in initial conditions produced large changes in the long-term outcome. Predictability:Does the Flap of a Butterfly’s Wings in Brazil set off a Tornado in Texas?


Butterfly Effect

The flapping of a single butterfly's wing today produces a tiny change in the state of the atmosphere. Over a period of time, what the atmosphere actually does diverges from what it would have done. So, in a month's time, a tornado that would have devastated the Indonesian coast doesn't happen. Or maybe one that wasn't going to happen, does.

(Ian Stewart, Does God Play Dice? The Mathematics of Chaos, pg. 141)


History of Fractals

The father of fractals: Gaston Julia. 1900

There were some other works out there, such as Sierpinski’s triangle and Koch’s curve.

Mandelbrot 1970 :Mandelbrot Set.



Fractals …

Koch’s curve







  • mean

  • variance

  • power spectrum



RANDOM

random

x(n) = RND


CHAOS

Deterministic

x(n+1) = 3.95 x(n) [1-x(n)]


  • How to recognize chaos from random

  • Power spectra

  • Structure in state space

  • Dimension of dynamics

  • Sensitivity to initial condition

    • Lyapunov Exponents

    • Predictive Ability

  • Controllability of Chaos


Structure in state space

Poincare Section









Biological models producing chaos

  • Nonlinearity

  • Time delay

  • Compartment Cascades

  • Forcing Functions



  • Chaotic systems can be used to show :

  • rhythms of heartbeats

  • walking strides


  • Fractals can be used to model:

  • Structures of nerve networks

  • circulatory systems

  • lungs

  • DNA





ad