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An algorithm for detecting features of the hormone profiles of the human menstrual cycle.

Authors
Krieg-EF Jr.; Kesner-JS; Knecht-EA
Source
Comput Biol Med 1999 Jul; 29(4):229-242
NIOSHTIC No.
20043433
Abstract
An algorithm for detecting features of the cycles of the gonadotropic and ovarian hormones in women is described. The algorithm can detect hormone peaks and normal cycles defined in terms of the peaks in sequences of measurements that have an arbitrary starting point in the menstrual cycle and are of arbitrary length. The algorithm makes use of fuzzy set theory and is optimized using signal detection theory.
Keywords
Mathematical-models; Reproductive-system; Women; Hormone-activity; Hormones; Gonadotropic-hormones; Biological-rhythms; Humans; Author Keywords: Algorithm; Fuzzy set; Signal detection; Menstrual cycle; Hormone
Contact
Edward F. Krieg Jr, National Institute for Occupational Safety and Health, 4676 Columbia Parkway, Cincinnati, OH 45226, USA
CODEN
CBMDAW
Publication Date
19990701
Document Type
Journal Article
Email Address
erk3@cdc.gov
Fiscal Year
1999
NTIS Accession No.
NTIS Price
Issue of Publication
4
ISSN
0010-4825
NIOSH Division
DBBS
Source Name
Computers in Biology and Medicine
State
OH
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