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

Details

• Personal Author:
  Kesner JS ; Knecht EA ; Krieg EF Jr.
• Description:
  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. [Description provided by NIOSH]
• Subjects:
  Endocrine System Occupational Health Periodicity Safety Urogenital System Women
• Keywords:
  Author Keywords: Algorithm Biological-rhythms Fuzzy Set Gonadotropic-hormones Hormone Hormone-activity Hormones Humans Mathematical-models Menstrual Cycle Reproductive-system Signal Detection

  More +
• ISSN:
  0010-4825
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  Ohio ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DBBS - Division of Biomedical and Behavioral Sciences
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  229-242
• Volume:
  29
• Issue:
  4
• NIOSHTIC Number:
  nn:20043433
• Citation:
  Comput Biol Med 1999 Jul; 29(4):229-242
• Contact Point Address:
  Edward F. Krieg Jr, National Institute for Occupational Safety and Health, 4676 Columbia Parkway, Cincinnati, OH 45226, USA
• Email:
  erk3@cdc.gov
• Federal Fiscal Year:
  1999
• Peer Reviewed:
  True
• Source Full Name:
  Computers in Biology and Medicine
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:34a9d7835ef30c67ed4df18c9fba2ff62ce6ee5bd58d25d8ece87f451bf78489cf70ebd2b33acddb905cb95ae00153912de72d7dec9e89e43f49790167457d88
• Download URL:
  https://stacks.cdc.gov/view/cdc/195327/cdc_195327_DS1.pdf
• File Type:
  [PDF - 174.06 KB ]