Theses and Dissertations



Taebi, Amirtaha

Committee Member

Elder, Steven H.

Committee Member

Van Den Heever, David

Committee Member

Van Wurm, William

Date of Degree


Original embargo terms

Visible MSU only 1 year

Document Type

Graduate Thesis - Campus Access Only


Biomedical Engineering

Degree Name

Master of Science (M.S.)


James Worth Bagley College of Engineering


Department of Agricultural and Biological Engineering


Cardiac time intervals (CTIs) are vital indicators of cardiac health and can be estimated using a combination of electrocardiography (ECG) and seismocardiography (SCG). This study investigates the impact of SCG sensor location across the sternum on CTI estimations and heart rate variability parameters. Signal processing algorithms were developed to detect the opening and closure of heart valves on SCG for CTI calculation. A novel ECG-independent method was also developed based on template matching to determine similar parameters solely based on SCG. Comparative analysis with gold-standard methods were conducted on the SCG fiducial points, evaluating accuracy and performance. Results indicate a high overall average F1 score and correlation for all fiducial point detections. The p values revealed significant differences in SCG-derived CTI estimations across the sensor locations, highlighting the importance of sensor placement for accurate assessments. This finding underscores a fundamental step toward precise evaluation of cardiac health.