Cardiac Eletromechanical interaction modeling and simulation

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Cardiac Eletro-mechanical interaction modeling
and simulation

• Biomedical Team weekly report
• Jingyu liu
• July 7 ,2002

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 Reason

• Cardiac research is very important for Human
  Being. Heart attach is a main killer of human
• modeling and simulation is helpful to study
  the heart electrophysiology.
• Great efforts already put on this area all have
  different ,specific perspectives and emphases

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Whats already done in this area

• Different perspectives in research
• Mechanical muscle movement, fluid flow, Tissue
  mechanics,
• Electrical excitation propagation, atrium or
  ventricle repoplarization and depolarization
• Biological systemic circulation, heart pulmonary
  circulation. Fiber architecture , sheet
  orientations

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Whats already done in this area

• Different levels in research
• whole heart, circulation system , atrium,
  ventricle, valve, cell excitation,
• long time , one beat /on period , one phase
• health heart , aging / diseased heart
• Experiment Methods
• Magnetic Resonance Digital images
• ECG- Electrocardiogram
• Echocardiogram
• Baroreceptor detect vessel Press

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What is our Focus

• On health hearts circulation function from
  electrical and mechanical points of view.
• Through the ECG and Barorecetpor outputs, get
  the coupled model of electrical and mechanical
  activity of the heart
• Set environments , such as respiratory
  parameters , heart rate, as model disturbances
   
• check and detect the system model  

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Brief model description

• Mechanical model
• output parameters blood press /flow
  rate/volume
• Medical data
• venous return curve
• Cardiac function curve
• Example

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Electrical circuit analog of the human systemic
circulation preparation
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Output Arterial Pressure (Pa) and Volume (Qa)
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Brief model description

• Electro excitation propagation model output
  parameter body surface voltage
• Medical data ECG

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Brief model description

• Extra stimulus respire system , heart rate
• Coupled and timerelated independent system
• The whole Mechanical and Electrical coupled
  system , because of its natural property , is
  time-sensible and designed to be Self-learning
  system, Self-adapting Intelligent system .
  
• Fuzzy logic updating , SLA training and other
  related soft languages may be used in the
  system.

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Brief model description

• Experiment assignment
•  
• data source -open data source from internet
• live data
•  

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DEVS

• DVES Discrete event system Specification
• Time sequence events
• Module structure

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Future works

• delve into this project . more detail
  specifications needed. After this stage, the
  model structure and algorism can be designed
• understand DEVS . and implement model