Design of a Human Circulation Modeling System for Fitness Training

Kenichi Asami

doi:10.20965/jrm.2005.p0608

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JRM Vol.17 No.6 pp. 608-616

doi: 10.20965/jrm.2005.p0608

(2005)

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Design of a Human Circulation Modeling System for Fitness Training

Kenichi Asami

Faculty of Engineering, Kyushu Institute of Technology, 1-1 Sensui, Tobata, Kitakyushu 804-8550, Japan

Received:

January 26, 2005

Accepted:

April 23, 2005

Published:

December 20, 2005

Keywords:

fitness support, circulatory system model, cardiovascular system model, hemodynamics, exercise control model

Abstract

A physiological modeling and simulation system to support fitness training in which the cardiovascular system model predicts pulsatile blood flows in response to exercise levels is presented. A circulation monitor and simulator that allow interaction of humans with health enhancement devices enable development of intelligent fitness machines. A modeling and simulation system of the human circulation is necessary to realize safe and effective machines. In order to construct a better architecture of the assisting framework, a modeling and simulation system for the human circulation for fitness work could contribute to the effectiveness of programs for rehabilitation, weight change, health enhancement, and physical strengthening.

Cite this article as:

K. Asami, “Design of a Human Circulation Modeling System for Fitness Training,” J. Robot. Mechatron., Vol.17, No.6, pp. 608-616, 2005.

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References

[1] T. G. Coleman, “A Mathematical Model for the Human Body in Health, Disease, and during Treatment,” ISA Trans., Vol.18, No.3, pp. 65-73, 1979.
[2] J. McLeod, “PHYSBE: A Physiological Simulation Benchmark Experiment,” Simulation, Vol.7, No.6, pp. 324-329, 1966.
[3] H. Suga, “Time Course of Left Ventricular Pressure-Volume Relationship under Various End-diastolic Volumes,” Jap. Heart J., Vol.10, No.6, pp. 509-515, 1969.
[4] J. N. Warfield, “Societal Systems – Planning and Complexity,” John Wiley & Sons, 1976.
[5] K. Asami, and T. Kitamura, “Physiological Simulation by Integrating a Circulatory System Model with Beat-by-beat Hemodynamics,” Proc. of International Conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II, pp. 388-393, Oxford, Sep., 2003.
[6] K. Asami, and T. Kitamura, “Integration of Macro Circulation and Micro Hemodynamics in the Human Body for Physiological Diagnosis and Simulation,” Proc. of IEEE International Conference on Systems, Man, and Cybernetics, pp. 4535-4540,Washington, D.C., Oct., 2003.
[7] K. Asami, and T. Kitamura, “Development of Physiological Simulation Environment for Hemodynamics of Cardiovascular System,” Proc. of IEEE EMBS Asian-Pacific Conference on Biomedical Engineering, 1.1.2, Keihanna, Oct., 2003.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] T. G. Coleman, “A Mathematical Model for the Human Body in Health, Disease, and during Treatment,” ISA Trans., Vol.18, No.3, pp. 65-73, 1979.

[2] [2] J. McLeod, “PHYSBE: A Physiological Simulation Benchmark Experiment,” Simulation, Vol.7, No.6, pp. 324-329, 1966.

[3] [3] H. Suga, “Time Course of Left Ventricular Pressure-Volume Relationship under Various End-diastolic Volumes,” Jap. Heart J., Vol.10, No.6, pp. 509-515, 1969.

[4] [4] J. N. Warfield, “Societal Systems – Planning and Complexity,” John Wiley & Sons, 1976.

[5] [5] K. Asami, and T. Kitamura, “Physiological Simulation by Integrating a Circulatory System Model with Beat-by-beat Hemodynamics,” Proc. of International Conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II, pp. 388-393, Oxford, Sep., 2003.

[6] [6] K. Asami, and T. Kitamura, “Integration of Macro Circulation and Micro Hemodynamics in the Human Body for Physiological Diagnosis and Simulation,” Proc. of IEEE International Conference on Systems, Man, and Cybernetics, pp. 4535-4540,Washington, D.C., Oct., 2003.

[7] [7] K. Asami, and T. Kitamura, “Development of Physiological Simulation Environment for Hemodynamics of Cardiovascular System,” Proc. of IEEE EMBS Asian-Pacific Conference on Biomedical Engineering, 1.1.2, Keihanna, Oct., 2003.