Simulation of intracardiac electrograms to aid in the study of cardiac arrhythmias – UROP Spring Symposium 2021

Simulation of intracardiac electrograms to aid in the study of cardiac arrhythmias

Tianyi Cheng


Pronouns: she her hers

Research Mentor(s): Mohammed Saeed, Faculty Member / Clinical Lecturer
Research Mentor School/College/Department: Department of Internal Medicine, Michigan Medicine
Presentation Date: Thursday, April 22, 2021
Session: Session 3 (1pm-1:50pm)
Breakout Room: Room 20
Presenter: 8

Event Link


The main task of my project is to study the electrocardiogram(ECG) of human hearts, by building a model that can simulate the heart beats and then train it to be able to read in data from patients in real-life and give a diagnose through machine learning. The human heart Myocytes beats under the flow of ions(in-and-out and among cells) causing changes in voltages on cell membranes, which can be measured(through ECG). Under abnormal conditions, these regular changes will be disrupted, causing chaos in the electric flows in certain pattern(based on the specific illness). The change of voltage based on time can be expressed in mathematical ways using a set of differential equations. The features of the cells can be captured through object oriented programming: they all have periodic pulses but in different patterns due to their specific role in heart. After building such model, we can train it with data from real patients so that it will give a primary judgement on new patients. This tool is meant to help doctors, especially who works in emergency, with a relatively reliable suggestion which may improve the efficiency of giving a medical diagnose.

Authors: Tianyi Cheng
Research Method: Clinical Research

lsa logoum logo