Skip to content

This repository contains the python code associated with my Master Thesis titled "Evaluation and Feasibility Study of Analog Sensor Front-End using Impedance Spectroscopy for Biomedical Application"

Notifications You must be signed in to change notification settings

nivedipagar12/MasterThesis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

45 Commits
 
 
 
 

Repository files navigation

MasterThesis

This repository contains the python code associated with my Master Thesis titled "Evaluation and Feasibility Study of Analog Sensor Front-End using Impedance Spectroscopy for Biomedical Application". If you are new to this field, I suggest reading a little about the following topic:

  1. Folder Name: Curve Fitting

This folder contains the main curve fitting algorithm. In the above mentioned cole modelling paper, you will find the formulas used to find the initial values of x0, y0 and r0 (Equation 5) and the simplified formula used to implement the BFGS algorithm to find the result as a function of F(x0, y0, r0) (Equation 3). Upon finding the center (x0,y0) and radius r0 of the imaginary circle, the R0 and Rinf values can be calculated using distance formula as follows :

Point 1: x0,y0 Point 2: R0 or Rinf,0 .. Since the points R0 and Rinf are on x axis, their y-coordinate will be 0 distance = r0 .. We already know the distance between the two points (r0)

Reverse engineering the distance formula, we can find R0 and Rinf as follows:

  • R_{0} = x_{0} + \sqrt{r_{0}^{2} - y_{0}^{2}} .. to find R0
  • R_{\infty} = x_{0} - \sqrt{r_{0}^{2} - y_{0}^{2}} .. to find Rinf

About

This repository contains the python code associated with my Master Thesis titled "Evaluation and Feasibility Study of Analog Sensor Front-End using Impedance Spectroscopy for Biomedical Application"

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages