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



Primary Advisor

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


The human body communicates in electrical signals, much like a machine. Involuntary electrical impulses create contractions in various parts of the body to keep blood flowing normally. This is especially important in vital organs like the heart, which controls the blood flow through the rest of the body. An electrocardiogram (ECG or EKG) records the rhythm and strength of these impulses to identify whether the heart is functioning properly. Unfortunately, the heart does not always work as it is supposed to, and we must rely on ECG results to determine irregularities that could be a sign of a heart condition. This project aims to algorithmically identify cardiac conditions based on ECG impulses, eliminating the need for human inspection. With the patient’s ECG results, it will be able to detect normal behavior as well as irregularities and determine their origin (such as a branch block, atrial premature contraction, arrhythmias, enlarged chambers, etc) without the aid of a doctor’s eye.

Available for download on Wednesday, December 08, 2027