Title of article :
Electromechanical modeling and simulation of the physiological state of human gastric wall smooth muscle cells
Author/Authors :
Taghadosi ، Hossein Department of Biomedical Engineering - Islamic Azad University, Science and Research Branch , Tabatabai Ghomsheh ، Farhad Pediatric Neurorehabilitation Research Center - University of Social Welfare and Rehabilitation Sciences , Farajidavar ، Aydin Department of Electrical and Computer Engineering - New York Institute of Technology , Khazaee ، Faezeh Department of Biomedical Engineering - Islamic Azad University, Science and Research Branch , Hoseinpour ، Fatemeh Department of Occupational Therapy - Semnan University of Medical Science , Beshkooh ، Zahra Department of Biomedical Engineering - Islamic Azad University, Science and Research Branch
Abstract :
Electromechanical and regular contractions of the smooth muscles of the gastric wall are responsible for grinding, mixing, and propulsion food into the intestines. Lack of proper functioning in contracting the smooth muscle causes digestive disorders. This study aimed to present an electromechanical model for the contraction of smooth muscles of the human gastric wall in the physiological state. In this model, the electromechanical contraction of the smooth muscles is due to the distribution of the electrophysiological slow wave (Due to ionic interaction of cells with extracellular environment and adjacent cells) over 240 cells and 548 links. The results showed that the contraction started at the beginning of the gastric wall and gradually transferred to the end of the wall (pylorus). Also, it was found that the maximum contraction of about 34.7% occurs at the end of the model and near the pyloric sphincter. Finally, the behavior of tissues can be simulated non-invasively using the modeling and their function can be examined under physiological and pathological conditions.
Keywords :
Electromechanical Modeling , Simulation , Gastric Wall , Slow Wave , Smooth Muscle Cell , Contraction
Journal title :
Computational Sciences and Engineering
Journal title :
Computational Sciences and Engineering
