College - Author 1

College of Engineering

Department - Author 1

Electrical Engineering Department

Degree Name - Author 1

BS in Electrical Engineering

College - Author 2

College of Engineering

Department - Author 2

Electrical Engineering Department

Degree - Author 2

BS in Electrical Engineering

Date

6-2025

Primary Advisor

Xiao-Hua (Helen) Yu, College of Engineering, Electrical Engineering Department

Abstract/Summary

This project studies electrocardiogram (ECG) signal classification using various machine learning technologies, including Random Forest (RF), K-Nearest Neighbor (KNN), Support Vector Machines (SVM), and Convolutional Neural Networks (CNN). Computer simulation results show these algorithms perform well on the MIT-BIH database, with accuracy above 98%.

Available for download on Thursday, June 13, 2030

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