scholarly journals Numerical Analysis of One-dimensional Mathematical Model of Blood Flow to Reproduce Fundamental Pulse Wave Measurement for Scientific Verification of Pulse Diagnosis

2011 ◽  
Vol 6 (4) ◽  
pp. 330-342 ◽  
Author(s):  
Atsushi SHIRAI ◽  
Tsutomu NAKANISHI ◽  
Toshiyuki HAYASE
2008 ◽  
Vol 74 (737) ◽  
pp. 142-148 ◽  
Author(s):  
Kentaro NARUMI ◽  
Tsutomu NAKANISHI ◽  
Atsushi SHIRAI ◽  
Toshiyuki HAYASE

Author(s):  
Tomoki KITAWAKI ◽  
Masashi SHIMIZU ◽  
Hao LIU ◽  
Ryutaro HIMENO ◽  
Kazuhisa TANABE ◽  
...  

1994 ◽  
Vol 50 (3) ◽  
pp. 353-372 ◽  
Author(s):  
Daniel Goeleven ◽  
Van Hien Nguyen

In this paper the authors prove an abstract theorem for solutions of a variational inequality on a cone and use it to study the free boundary problem of elastohydrodynamic lubrication from mechanical engineering. The mathematical model is set in a one-dimensional geometry. The existence of a solution for every non-negative lubricant viscosity is proved, and some properties useful for the numerical analysis are obtained.


2016 ◽  
Vol 78 (4-4) ◽  
Author(s):  
Norma Alias ◽  
Sakinah Abdul Hanan ◽  
Akhtar Ali ◽  
Zakaria Dollah

A new design of mathematical model of therapeutic compound in blood flow patterns in a capillary attached the magnetic nanoparticles by the external magnetic field which is applied uniformly is considered. The blood flowing through the capillary is dominated to be Newtonian and the flow is assumed unsteady, incompressible and laminar. Based on the present knowledge of the drug delivery, the mathematical models have highly potential to develop by researchers. The implementation of the sequential algorithm is used to model the magnetic nanoparticles drug delivery system. Discretization of the governing equation together with the boundary condition is carried out before they are solved numerically using a finite difference scheme. The sequential algorithms on the mathematical model based on some numerical methods such as Jacobi and Gauss Seidel. The numerical analysis investigates in terms of execution time, accuracy, computational complexity, convergence criterion, root means square error and maximum error. The Gauss Seidel is the superior method compared to Jacobi.


Author(s):  
Moragot Kandee ◽  
Poonpong Boonbrahm ◽  
Valla Tantayotai

Pulse signals can be used to observe the early sign of patients' health problems. From medical researches, monitoring the characteristic of arterial pulse waveform shows some risk indicator of specific diseases, e.g., hypertension, cardiovascular and heart failure diseases. A simple way to get arterial pulse wave is by using fingers to touch the radial artery position on the wrist. In the traditional Chinese medicine, a physician can use the information of arterial pulse wave-form to identify diseases based on the physician’s ability and experience. The improvement of the skill in pulse measurement can be improved by training using various kinds of pulses that represent each disease. This paper proposes a development of the virtual pulse simulation using Augmented Reality (AR) and haptic device for pulse diagnosis studies under various situations. The pulse simulation generates arterial pulse waveforms based on Sine and Gaussian functions. In this study, the mathematical model can generate the pulse wave like human pulse by setting up specific parameters. We can generate pulse waveform which representing different kinds and states of diseases by varying the mathematical model and parameters such as pulse rate or pulse pressure. The features of this work include how to generate force feedback from the mathematical models using the haptic device and how the virtual 3D can display visual feedback. The pulse simulation is useful for the health sciences students, especially the nursing students in training to identify some diseases. The evaluation of the system was carried out by first-year nursing students regarding usability, satisfaction, and performance.


2001 ◽  
Vol 1 (2) ◽  
pp. 37-48 ◽  
Author(s):  
N. Kishimoto ◽  
I. Somiya ◽  
Y. Ohnishi ◽  
T. Nakamura

The accumulation process of the blooming plankton Peridinium bipes was studied in this paper using a mathematical model based on a horizontal one-dimensional multi-layered flow model coupled with a vertical migration model of the Peridinium bipes community. The estimated accumulation process consisted of three processes: upward swimming and dispersion of Peridinium bipes cells, advection of the cells with the countercurrent of surface water, and entrainment and effluent of the cells with the plunging flow of inflow river water. The numerical analysis has revealed that the accumulation process helps Peridinium bipes to avoid hydraulic washout and it contributes to a contributes to a concentration of Peridinium bipes cells on the upper side of the reservoir.


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