Cardiovascular diseases with origins in early fetal development are a serious health concern in the United States. Presently, there are few, if any, diagnostic tools available for doctors to determine the overall health of the early fetal cardiovascular system in a non-invasive manner. This thesis is a step toward the development of a non-invasive system for the detection of cardiovascular malformations in the early human fetus. The computer algorithms presented in this work dovetail with other algorithms to represent embryonic /fetal cardiovascular output and variability data in the frequency domain. Algorithms in this thesis allow the capability to edit external artifact from data, determine common frequency spectra forms and calculate spectral band power to aid in study group comparison. Additionally, an algorithm is presented to represent non-steady cardiovascular data in the time-frequency domain.

Library of Congress Subject Headings

Biomedical engineering; Chickens--Embryos--Abnormalities--Diagnosis--Data processing; Fetus--Abnormalities--Diagnosis--Data processing; Cardiovascular system--Abnormalities--Diagnosis--Data processing

Publication Date


Document Type


Department, Program, or Center

Mechanical Engineering (KGCOE)


Kempski, Mark

Advisor/Committee Member

Kochersberger, Kevin

Advisor/Committee Member

Salem, Edward


Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: R857.D47 K488 1996


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