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

E F Krieg Jr; J S Kesner; E A Knecht

doi:10.1016/s0010-4825(99)00007-4

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

Comput Biol Med. 1999 Jul;29(4):229-42. doi: 10.1016/s0010-4825(99)00007-4.

Authors

E F Krieg Jr¹, J S Kesner, E A Knecht

Affiliation

¹ Division of Biomedical and Behavioral Science, National Institute for Occupational Safety and Health, Cincinnati, Ohio 45226, USA. [email protected]

PMID: 10439893
DOI: 10.1016/s0010-4825(99)00007-4

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.

MeSH terms

Algorithms*
Estrogens / metabolism
Estrogens / urine
Female
Follicle Stimulating Hormone / metabolism
Follicle Stimulating Hormone / urine
Fuzzy Logic
Hormones / metabolism*
Humans
Luteinizing Hormone / metabolism
Luteinizing Hormone / urine
Menstrual Cycle / physiology*
Menstrual Cycle / urine
Progesterone / metabolism
Progesterone / urine
ROC Curve
Reference Values

Substances

Estrogens
Hormones
Progesterone
Luteinizing Hormone
Follicle Stimulating Hormone