Modeling and Identification of Human Heart System
(*) Corresponding author
In this paper, for human heart problems, a mathematical model has been developed. There are more or fewer applications of physical analog with mathematical modeling of the heart, the modeling of heart by electromechanical, state-space. In this paper, the Physical models of the heart can affect the data of real physiological focused on the actual tests present. A new technique for mathematical modeling of heart of human is described as a hydro electromechanical system. The human heart is described focusing on three systems: electrical analysis, hydraulic mechanism, and mechanical variables. In the hydro model based on mechanical developed by using Laplace transforms after converting the mechanical system to an electrical system and simulation are carried out by using Matlab and the results are agreeable with the waveform of the ECG. The components of electrical analysis have been exploited in order to put on the purposes of physiological the human heart. The parameters of the electrical circuit have been transferred from the model of hydraulic mechanism and medical physiological parameters. The results of the model are close to true parameters. The identification of this model is applied with recursive least squares (RLS) in order to compare the mathematical model.
Copyright © 2019 Praise Worthy Prize - All rights reserved.
Martin J. Conlon, Donald L. Russell, and Tofy M. Development of a Mathematical Model of the Human Circulatory System. Annals of Biomedical Engineering, Vol. 34, No. 9, September 2006 (C_2006) pp. 1400-1413.
Gutta, S., Chang, Q., Nguyen, H.D., and Benjamin, B. A. Cardiorespiratory Model-Based Data- Driven Approach for Sleep Apnea Detection IEEE Journal of Biomedical and Health Informatics, Vol 22, Issue 4.pages 1036-1045, August 2017.
Dongdong D., Peifeng J, Xuesong Y, and Ling X An Image-BasedModel of theWhole Human Heart with Detailed Anatomical Structure and Fiber Orientation, Hindawi Publishing Corporation, Computational and Mathematical Methods in Medicine, Volume 2012, Article ID 891070, 16 pages.
S Malatos, A Raptis and M Xenos. Advances in Low-Dimensional Mathematical Modeling of the Human Cardiovascular System. Journal of Hypertension and Management, 2016, 2:017 Volume 2, Issue 2.
Feneley, M. P.,T. P. Gavaghan, D. W. Baron, J. A. Ranson, P. R. Roy and J. J. Morgan, Contribution of left ventricular contraction to the generation of right ventricular systolic pressure in the human heart, Pathophysiology and Natural History, Vol 71, Issue 3. 71:473-480, 1985.
F. N. Vande Vosse, Mathematical modelling of the cardiovascular system, Journal of Engineering Mathematics 47: pages 175–183, 2003.
Y. Wu, P.E. Allaire, G. Tao, D. Olsen, Modeling,Estimation, and Control of Human Circulatory System With a Left Ventricular Assist Device, IEEE Transactıonson Control Systems Technology, pages 754-767, Vol. 15, No. 4, July 2007.
S. L. M. Abad, N. J. Dabanloo, M. R. Mohagheghi, Different Approaches for linear and non-linear ECG Generation, International Conference on Biomedical Engineering and Informatics, 978-0-7695-3118-2/08 © 2008 IEEE.
W. Shi, M.-S. Chew, Mathematical and Physical Models of a Total Artificial Heart, IEEE International Conference on Control and Automation, Christchurch, New Zealand, December 9-11, 2009.
Min Han, Shuhui Zhang, Meiling Xu, Tie Qiu and Ning Wang, Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm,”IEEE transactions on Cybernetics, Pages:1160-1172, Volume 49, Issue 4, 2019.
Andriy Temko, Accurate Heart Monitoring During Physical Exercises Using PPG, IEEE Journal of Transaction on Biomedical Engineering, Pages 2016-2024, Volume 64, Issue 9, 2017.
Sinan S. Mohammedsheet and Mothanna Sh. Aziz, Design And Implementation Of Digital Heart Rate Counter By Using The 8051 Microcontroller, IEEE International conference on Engineering Technology Application (ICETA), Islamic University- Alnajaf-Iraq2018.
Atsushi Mase , Yuichiro Kogi and Toru Maruyama, Real-Time Evaluation Of Heart Rate and Heart Rate Variability Using Microwave Reflectometry, IEEE International Microwave Biomedical Conference(IMBioC), 2018.
Abhiyash Hodge, Hrishikesh Humnabadkar and Akshary Bidwai, Wireless Heart Rate Monitoring and Vigilant System, IEEE International Conference for Convergence in Technology (I2CT) April 06-08, 2018.
Vasyl Kurylo and Vasyl Varyshchuk, Development and Performance Evaluation of a Remote Vision- Based Heart Rate Monitoring System, IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies(CSIT), 11-14 September, Volume 1, 2018, Lviv Ukraine.
Mehrdad Nosrati and Negar Tavassolian, High-Accuracy Heart Rate Variability Monitoring Using Doppler Radar Based on Gaussian Pulse Train Modeling and FTPR Algorithm, IEEE Transaction on Microwave Theory And Techniques Pages 556-567, Volume 66, Issue 1, 2018.
Soo Young Sim, Han Byul Kim, Seungiin Jang , Beomoh Kim and Kwan Suk Park, Estimation of Circadian Body Temperature Rhythm Based on Heart Rate in Healthy, Ambulatory Subjects IEEE Journal Of Biomedical And Health Informatics, Pages 407-415, VOL. 21, NO. 2, March 2017.
Alan H. Gee, Riccardo Barbieri, David Paydarfar and Premananda Indic, Predicting Bradycardia in Preterm Infants Using Point Process Analysis of Heart Rate, IEEE of Transaction of Biomedical Engineering, Pages 2300 –2308, Vol 64, Issue 9, 2017.
Alberto Hernando, Jesus Lazaro, Eduardo Gil, Adriana Arza, Jorge Mario Garzon, Inclusion of respiratory frequency information in heart rate variability analysis for stress assessment, IEEE of Biomedical and Health Information, Pages 1016-1025, Vol 20, Issue 4, 2016.
Yang Zheng1, Xianxiang Chen, Zhen Fang and Shanhong Xia, A Heart Rate Variability Analysis System Based on LeanCloud and Echarts, IEEE 40th Annual Computer Software and Applications Conference, Vol 2, 2016.
Hendradi, R., Arifin, A., Shida, H., Gunawan, S., Purnomo, M., Hasegawa, H., Kanai, H., Signal Processing and Extensive Characterization Method of Heart Sounds Based on Wavelet Analysis, (2016) International Review of Electrical Engineering (IREE), 11 (1), pp. 55-68.
Aabid, M., Elakkary, A., Sefiani, N., Real-Time Cardiac Monitoring Through the Application of an Adaptive Controller to Human Heart, (2017) International Review of Automatic Control (IREACO), 10 (1), pp. 63-71.
Aabid, M., Elakkary, A., Sefiani, N., PID Parameters Optimization Using Ant-Colony Algorithm for Human Heart Control, (2017) International Review on Modelling and Simulations (IREMOS), 10 (2), pp. 94-102.
- There are currently no refbacks.
Please send any question about this web site to email@example.com
Copyright © 2005-2023 Praise Worthy Prize