Metadata-Version: 2.1
Name: simelixir
Version: 0.0.1
Summary: A Python package for 1-D blood flow simulation
Home-page: https://github.com/VANRao-Stack/
Author: Sanaul Shaheer, V Abhijith Narayan Rao
Author-email: sanaulshaheer@gmail.com
License: UNKNOWN
Description: # Elixir
        
        Modeling blood flow and especially the propagation of the pulse wave in systemic
        arteries is a topic that is interesting to the medical society since the shape of the
        pressure profiles has diagnostic significance. We build a package that can
        simulate blood flow and pressure in large arteries by solving a nonlinear onedimensional 
        model based on the incompressible Navier-Stokes equations for a
        Newtonian fluid in an elastic tube. Our method, however, does not require the
        usage of discretized methods for solving differential equations such as the
        popular Lax-Wendroff method (LW) but instead uses automatic differentiation to
        achieve a similar result. 
        
        Modeling blood flow and pressure in the systemic arteries has been a topic of
        interest both to theoretical and clinical investigators. Thus, research in this area
        has a vital interdisciplinary aspect. This project aims to develop a package capable
        of performing such simulations using the models we develop to treat
        cardiovascular diseases better. This is important since most deaths in developed
        countries result from cardiovascular diseases, mostly associated with abnormal
        flow in the arteries.
        
        The original project's inspiration arose from previous and present efforts to
        develop an anaesthesia simulator based on mathematical models. An important
        part of which is having a good model for the cardiovascular system.
        However, as stated previously, the traditional focus of such projects generally is
        developing a good model.
        
        The choice of the method to be used to solve the associated equations generally
        comes from a standard list of such methods.
        
        We present a new method that, unlike its predecessors, offers a continuous
        solution, along with other benefits such as GPU support, a massive community,
        and such like. 
        
        Watch our video that highlights the fundamental idea of the project. 
        
        [![Project Elixir - Team Disrupt](photo.png)](https://youtu.be/8Q4nvnozVsI "Project Elixir - Team Disrupt")
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Healthcare Industry
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
