Sponsor
Portland State University. Department of Electrical Engineering
First Advisor
Marek Perkowski
Term of Graduation
Summer 1991
Date of Publication
7-8-1991
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Electrical and Computer Engineering
Department
Electrical Engineering
Language
English
Subjects
Birth control, Information storage and retrieval systems
DOI
10.15760/etd.6063
Physical Description
1 online resource (2, v, 98 pages)
Abstract
It is now well accepted by gynecologists that a woman can conceive from an act of intercourse for a maximum of seven days of her menstrual cycle [1]. The reliability of natural family planning methods depends on identifying this window of fertility without ambiguity. Several natural family planning (NFP) methods have been used extensively and with some success. For decades, cycle length and BBT history have been used to forecast the most likely days of ovulation. When greater precision is needed, serum LH assays or ultrasound techniques are used. With the recent development of enzyme-linked immunosorbent assay, various kits have become commercially available to provide a simple, self-administered, and rapid test for detection of the midcycle urinary LH surge [2]. Some of these methods are fairly reliable and accurate. However, failures in these methods still occur, and some other problems concerning accuracy, simplicity, cost, and comfort have not been solved yet [3]. In addition, other factors in NFP methods, such as the user, the procedure, and others, have been demonstrated to be important sources of errors.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
https://archives.pdx.edu/ds/psu/24042
Recommended Citation
Bermudez, Omar Rodolfo, "Computer-Based Parameter Visualization and Decision Making for the Detection and Prediction of Ovulation: the Ovulo-Computer" (1991). Dissertations and Theses. Paper 4179.
https://doi.org/10.15760/etd.6063
Comments
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