SlideShare a Scribd company logo
1 of 93
Download to read offline
Computational Modelling of the
Whole-Heart Electrical Activity
Siniša Sovilj, PhD
University of Zagreb, Faculty of
Electrical Engineering and Computing,
Zagreb, CROATIA
Računalno modeliranje
električne aktivnosti srca
dr.sc. Siniša Sovilj, dipl.ing.
Sveučilište u Zagrebu,
Fakultet elektrotehnike i računarstva
1$ = 6 HRK UNSW UNIZG
Osnovano 1949. 1669.
Studenata 50.516 65.592
Zaposlenika 5300 8080
Fond
(endowment)
1.520 M$ 328 M HRK
( 55 M$)
Školarina 4000 $/kolegiju
50.000 $/god.
8000 HRK/god.
(1333 $/god.)
Smještaj 200-400$/tjedno
10-20 k$/god.
3000 kn/mjesečno
Bruto plaća
• Research
associate
• Assistant Prof.
• Associate Prof.
• Professor
• 60-80 k$
• 80-100 k$
• 100-120 k$
• 125-140 k$
• 13.800 kn*12
=165.600 HRK
(27.600 $)
•
•
Neto plaća  -25%  -45%
Outline
• Previous work
• 0) single cell model
• 1) simplified 2D model
• 2) simplified 3D model
• 3) realistic 3D model
• Future work
Outline
• Previous work
• 0) single cell model
• 1) simplified 2D model
• 2) simplified 3D model
• 3) realistic 3D model
• Future work
Outline
• Previous work
• 0) single cell model
• 1) simplified 2D model
• 2) simplified 3D model
• 3) realistic 3D model
• Future work
Outline
• Previous work
• 0) single cell model
• 1) simplified 2D model
• 2) simplified 3D model
• 3) realistic 3D model
• Future work
Outline
• Previous work
• 0) single cell model
• 1) simplified 2D model
• 2) simplified 3D model
• 3) realistic 3D model
• Future work
Outline
• Previous work
• 0) single cell model
• 1) simplified 2D model
• 2) simplified 3D model
• 3) realistic 3D model
• Future work
Outline
• Previous work
• 0) single cell model
• 1) simplified 2D model
• 2) simplified 3D model
• 3) realistic 3D model
• Future work
Outline
• Previous work
• 0) single cell model
• 1) simplified 2D model
• 2) simplified 3D model
• 3) realistic 3D model
• Future work
Previous work
• Prediction of postoperative AF
Previous work
• Prediction of postoperative AF
Previous work
• Prediction of postoperative AF
Previous work
• Prediction of postoperative AF
Previous work
• Prediction of postoperative AF
0,00
5,00
10,00
15,00
20,00
25,00
30,00
35,00
40,00
1 2 3 4 5 6 7 8 9
AFprevelance%
Postoperative day
Previous work
• Prediction of postoperative AF
0) Single Cell model
• FitzHugh-Nagumo (FHN) model
 
 
 
 
   
 
 
   
1 2
1 2
1 SAN
1
m
io
e i
e e ion
i e
i i ion
m i e
m m
ion m
n
i n
m
m m
o m
V V
V i
t t
V V
V i
t t
V V V
V B V B
i k c V B a k c u
A A
V B V B
i k c V B a k c u V
V
i
t
V Bu
k d
t A
A
e b
A
u


  
       

        
  
 

 

 
     
    
          
   
    
           
   
 
  
   non-SANm B
0) Single Cell model
• FitzHugh-Nagumo (FHN) model
0) Single Cell model
• FitzHugh-Nagumo (FHN) model
 
 
 
 
   
 
 
   
1 2
1 2
1 SAN
1
m
io
e i
e e ion
i e
i i ion
m i e
m m
ion m
n
i n
m
m m
o m
V V
V i
t t
V V
V i
t t
V V V
V B V B
i k c V B a k c u
A A
V B V B
i k c V B a k c u V
V
i
t
V Bu
k d
t A
A
e b
A
u


  
       

        
  
 

 

 
     
    
          
   
    
           
   
 
  
   non-SANm B
1) Simplified 2D model
 
e
σ /
0
σ /
0
e
i
b
e
b
i
V V on H
V on
V i
H
V on H
V i
n
n
B
B


 
    
  
   
  
   
n 0
n n J
n
  0
I LA RA
II LF RA
III LF LA
GND
V V V
V V V
V V V
V X
 
 
 

Transmembrane potential (Vm)
Transmembrane potential (Vm)
2) Simplified 3D model
𝑉𝐼 = 𝑉𝐿 − 𝑉𝑅
𝑉𝐼𝐼 = 𝑉𝐹 − 𝑉𝑅
𝑉𝐼𝐼𝐼 = 𝑉𝐹 − 𝑉𝐿
𝑎𝑉𝑅 = (2𝑉𝑅 − 𝑉𝐿 − 𝑉𝐹)/2
𝑎𝑉𝐿 = (2𝑉𝐿 − 𝑉𝑅 − 𝑉𝐹)/2
𝑎𝑉𝐹 = (2𝑉𝐹 − 𝑉𝑅 − 𝑉𝐿)/2
𝑉𝐶𝑇 = (𝑉𝐿 + 𝑉𝑅 + 𝑉𝐹)/3
𝑋 = 0.610 ∙ 𝐴 + 0.171 ∙ 𝐶 − 0.781 ∙ 𝐼
𝑌 = 0.655 ∙ 𝐹 + 0.345 ∙ 𝑀 − 1.000 ∙ 𝐻
𝑍 = 0.133 ∙ 𝐴 + 0.736 ∙ 𝑀 − 0.264 ∙ 𝐼
−0.374 ∙ 𝐸 − 0.231 ∙ 𝐶
Transmembrane potential (Vm)
heart surface cross-section
Normal Anterior MI Inferior MI
Normal Anterior MI Inferior MI
3) Realistic 3D model
Visual Human Project
• Voxel size (torso): 0.9mm x 0.9mm x 3mm/slice
Visual Human Project
• Voxel size (torso): 0.9mm x 0.9mm x 3mm/slice
Visual Human Project
• Voxel size (torso): 0.9mm x 0.9mm x 3mm/slice
Visual Human Project
• Voxel size (torso): 0.9mm x 0.9mm x 3mm/slice
Visual Human Project
• Voxel size (torso): 0.9mm x 0.9mm x 3mm/slice
Visual Human Project
• Voxel size (torso): 0.9mm x 0.9mm x 3mm/slice
Visual Human Project
• Voxel size (torso): 0.9mm x 0.9mm x 3mm/slice
Segmentation
• 0.9mm x 0.9mm x 6mm/slice
Segmentation
• 0.9mm x 0.9mm x 6mm/slice
Segmentation
• 0.9mm x 0.9mm x 6mm/slice
Segmentation
• 0.9mm x 0.9mm x 6mm/slice
Segmentation
• 0.9mm x 0.9mm x 6mm/slice
Segmentation
• 0.9mm x 0.9mm x 6mm/slice
Segmentation
• 0.9mm x 0.9mm x 6mm/slice
Segmentation
• 0.9mm x 0.9mm x 6mm/slice
Segmentation
• 0.9mm x 0.9mm x 6mm/slice
Segmentation
• 0.9mm x 0.9mm x 6mm/slice
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Heart
• Heart + Aorta + Sup.&Inf. Vena Cava + Pulmonary Trunk
Mesh
Mesh
Mesh
Simulation
Simulation
Simulation
Simulation
Simulation
Simulation
Simulation
Simulation
Simulation
Simulation
Simulation
Simulation
Result
Conclusion
• 3 torso-embedded whole-heart models
• applications: new diagnostic tools
(predictive, preventive, personalisied)
Simplified 2D Simplified 3D Realistic 3D
Tetrahedral
Elements
8.174 21.106 298.728
DoF 28.403 51.680 682.768
Simul. Time
(1 sec @ 1 ms)
~ 5 min ~ 1 h ~ 12 h
* Intel Core i7-970 workstation, 24GB RAM, 100 Gflops
Future Work
• realistic 3D model, finer geometry, details
• induction of arrhythmias, defibrillation
• inverse problem estimation (patient-specific)
• more detailed cell models e.g. generic
• coupling with other cardiac models:
– electro-mechanical
– cardiac flow models
Thank you!

More Related Content

Similar to Computational Modeling of the Whole-Heart Electrical Activity (ppt; © Sinisa Sovilj)

Cat scans wiki project
Cat scans wiki projectCat scans wiki project
Cat scans wiki project
EOS
 
MRI biomarkers for the spinal cord, webinar with Dr. Julien Cohen-Adad.
MRI biomarkers for the spinal cord, webinar with Dr. Julien Cohen-Adad.MRI biomarkers for the spinal cord, webinar with Dr. Julien Cohen-Adad.
MRI biomarkers for the spinal cord, webinar with Dr. Julien Cohen-Adad.
jcohenadad
 
SU05SchlesingerFINALforHandouts.pptx
SU05SchlesingerFINALforHandouts.pptxSU05SchlesingerFINALforHandouts.pptx
SU05SchlesingerFINALforHandouts.pptx
Altair Rahman Lubis
 

Similar to Computational Modeling of the Whole-Heart Electrical Activity (ppt; © Sinisa Sovilj) (20)

The painful removal of tiling artefacts in hypersprectral data
The painful removal of tiling artefacts in hypersprectral dataThe painful removal of tiling artefacts in hypersprectral data
The painful removal of tiling artefacts in hypersprectral data
 
Biomedical Signal Extraction for Computer-assisted Clinical Decision Making -...
Biomedical Signal Extraction for Computer-assisted Clinical Decision Making -...Biomedical Signal Extraction for Computer-assisted Clinical Decision Making -...
Biomedical Signal Extraction for Computer-assisted Clinical Decision Making -...
 
Ilizarov fixator
Ilizarov fixatorIlizarov fixator
Ilizarov fixator
 
Cat scans wiki project
Cat scans wiki projectCat scans wiki project
Cat scans wiki project
 
Computed Tomography
Computed TomographyComputed Tomography
Computed Tomography
 
広島大学工学部における医用画像処理の取り組み:放射線科,眼科,内科
広島大学工学部における医用画像処理の取り組み:放射線科,眼科,内科広島大学工学部における医用画像処理の取り組み:放射線科,眼科,内科
広島大学工学部における医用画像処理の取り組み:放射線科,眼科,内科
 
Logic to-prolog
Logic to-prologLogic to-prolog
Logic to-prolog
 
Introduction to adaptive signal processing
Introduction  to adaptive signal processingIntroduction  to adaptive signal processing
Introduction to adaptive signal processing
 
2007 roma, campus biomedico, università di ingegnieria. quale raporto tra bi...
2007 roma, campus biomedico, università di ingegnieria. quale raporto tra bi...2007 roma, campus biomedico, università di ingegnieria. quale raporto tra bi...
2007 roma, campus biomedico, università di ingegnieria. quale raporto tra bi...
 
MRI biomarkers for the spinal cord, webinar with Dr. Julien Cohen-Adad.
MRI biomarkers for the spinal cord, webinar with Dr. Julien Cohen-Adad.MRI biomarkers for the spinal cord, webinar with Dr. Julien Cohen-Adad.
MRI biomarkers for the spinal cord, webinar with Dr. Julien Cohen-Adad.
 
Statistical Physics of Ecological Networks: from patterns to principles
Statistical Physics of Ecological Networks: from patterns to principlesStatistical Physics of Ecological Networks: from patterns to principles
Statistical Physics of Ecological Networks: from patterns to principles
 
Tomography
TomographyTomography
Tomography
 
Atomic level manipulation of matter using Scanning Transmission Electron Micr...
Atomic level manipulation of matter using Scanning Transmission Electron Micr...Atomic level manipulation of matter using Scanning Transmission Electron Micr...
Atomic level manipulation of matter using Scanning Transmission Electron Micr...
 
Wearable Accelerometer Optimal Positions for Human Motion Recognition(LifeTec...
Wearable Accelerometer Optimal Positions for Human Motion Recognition(LifeTec...Wearable Accelerometer Optimal Positions for Human Motion Recognition(LifeTec...
Wearable Accelerometer Optimal Positions for Human Motion Recognition(LifeTec...
 
SU05SchlesingerFINALforHandouts.pptx
SU05SchlesingerFINALforHandouts.pptxSU05SchlesingerFINALforHandouts.pptx
SU05SchlesingerFINALforHandouts.pptx
 
Normal CT BRAIN
Normal CT BRAINNormal CT BRAIN
Normal CT BRAIN
 
Fueling Start-Up Medical Companies through 3D Modeling
Fueling Start-Up Medical Companies through 3D ModelingFueling Start-Up Medical Companies through 3D Modeling
Fueling Start-Up Medical Companies through 3D Modeling
 
Human knee analysis ppt
Human knee analysis pptHuman knee analysis ppt
Human knee analysis ppt
 
MDCT (2)
MDCT (2)MDCT (2)
MDCT (2)
 
density of the alveolar & basal bones of the maxilla & the mandible. ...
density of the alveolar & basal bones of the maxilla & the mandible. ...density of the alveolar & basal bones of the maxilla & the mandible. ...
density of the alveolar & basal bones of the maxilla & the mandible. ...
 

Computational Modeling of the Whole-Heart Electrical Activity (ppt; © Sinisa Sovilj)