Electromechanical heart tissue model using cellular automaton Hücresel otomaton yöntemi i̇le elektromekanik kalp doku modeli

In this study, electrical and mechanical properties of the heart tissue are modeled for normal heart beat. Contraction of the tissue via electrical activation has also been considered in terms of time synchronization. “Cellular automaton” method is used for modeling the 2 dimensional heart tissue and electromechanical interactions. Using this method, both the normal heart beat's electrical activation and the arrhythmia excitation could be taken on, without using complex differential equations. To consider the anisotropy of the heart tissue, fiber orientations have also been added to the model.


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Çetinkaya, Mehmet; Erkmen, Aydan Müşerref; Department of Electrical and Electronics Engineering (2018)
In this study, the aim is to design a respiratory motion prediction algorithm which can be used to compensate for this physiological disturbance in medical operations where respiration limits operation accuracy. For this purpose, a new Kalman filter has been developed for tracking quasi-periodic signals approximated as finite Fourier series. Instead of relying on approximations provided by Extended Kalman Filter or Unscented Kalman Filter, our filter performs the exact calculation of the mean and covariance...
A cellular automaton based electromechanical model of the heart
Bora, Ceren; Serinağaoğlu Doğrusöz, Yeşim; Tönük, Ergin; Department of Biomedical Engineering (2010)
The heart is a muscular organ which acts as a biomechanical pump. Electrical impulses are generated in specialized cells and flow through the heart myocardium by the ion changes on the cell membrane which is the beginning of both the electrical and the mechanical activity. Both the electrical and the mechanical states of the organ will directly affect the pumping activity. The main motivation of this thesis is to better understand physiological and pathological properties of the heart muscle via studying th...
Numerical and experimental investigaton of ultrasonic embossing technique for fabrication of thermoplastic microfluidic devices
Çoğun, Ferah; Arıkan, Mehmet Ali Sahir; Yıldırım, Ender; Department of Mechanical Engineering (2018)
In this study, numerical models and experimental results were presented to describe mechanisms of hot embossing (HE) and ultrasonic embossing (UE) for fabrication of thermoplastic microfluidic chips. The substrates were embossed using micromilled aluminum molds in both techniques. Effects of embossing temperature, time, and force on performance outputs (replication rates and channel symmetry) were investigated numerically and experimentally in HE. Experimental results revealed the importance of temperature ...
Coil sensitivity map calculation using biot-savart law at 3 tesla and parallel imaging in MRI
Esin, Yunus Emre; Alpaslan, Ferda Nur; Department of Computer Engineering (2017)
Coil spatial sensitivity map is considered as one of the most valuable data used in parallel magnetic resonance imaging (MRI) reconstruction. In this study, a novel sensitivity map extraction method is introduced for phased-array coils. Proposed technique uses Biot-Savart law with coil shape information and low-resolution phase image data to form sensitivity maps. The performance of this method has been tested in the parallel image reconstruction task using sensitivity encoding technique. In MRI, coil sensi...
Removal of baseline wandering from the electrocardiogram
Tanrıverdi, Volkan; Serinağaoğlu Doğrusöz, Yeşim; Department of Electrical and Electronics Engineering (2006)
ECG measures electrical potentials on the body surface via contact electrodes. Conditions such as movement of the patient, breathing, and interaction between the electrodes and skin cause baseline wandering of the ECG signal. Baseline wandering noise can mask some important features of the ECG signal; hence it is desirable to remove this noise for proper analysis of the ECG signal. This study includes an implementation and evaluation of methods to remove this noise, such as finite impulse response filters, ...
Citation Formats
C. Bora, Y. Serinağaoğlu Doğrusöz, and E. Tönük, “Electromechanical heart tissue model using cellular automaton Hücresel otomaton yöntemi i̇le elektromekanik kalp doku modeli,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42537.