Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Ovulation prediction and detection with the CUE Ovulation Predictor.

R S Fernando1, J Regas, G Betz

  • 1Zetek, Inc., Aurora, CO 80011.

Human Reproduction (Oxford, England)
|May 1, 1988
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Applicability of Macroscopic Wear and Friction Laws on the Atomic Length Scale.

Physical review letters·2015
Same author

Molecular dynamics simulations of mixed lubrication with smooth particle post-processing.

Journal of physics. Condensed matter : an Institute of Physics journal·2011
Same author

New insights into respirable protein powder preparation using a nano spray dryer.

International journal of pharmaceutics·2011
Same author

Sucrose esters with various hydrophilic-lipophilic properties: novel controlled release agents for oral drug delivery matrix tablets prepared by direct compaction.

Acta biomaterialia·2010
Same author

High island densities in pulsed laser deposition: causes and implications.

Physical review letters·2009
Same author

Assessment of diffuse transmission mode in near-infrared quantification--part I: The press effect on low-dose pharmaceutical tablets.

Journal of pharmaceutical sciences·2009

Predicting ovulation using salivary electrical resistance (SR) is effective up to seven days in advance. This method, also evaluating vaginal electrical resistance (VR), shows potential for fertility regulation and managing infertility.

Area of Science:

  • Reproductive Endocrinology
  • Biomedical Signal Analysis

Background:

  • Ovulation prediction is crucial for infertility management and fertility regulation via periodic abstinence.
  • Salivary electrical resistance (SR) and vaginal electrical resistance (VR) have been proposed for ovulation prediction.

Purpose of the Study:

  • To evaluate the efficacy of SR and VR measurements for predicting ovulation.
  • To assess the predictability in both natural and clomiphene citrate (CC)-induced cycles.

Main Methods:

  • Collected SR and VR data from 32 menstrual cycles across 23 women.
  • Included both spontaneously ovulating subjects and those treated with clomiphene citrate (CC).
  • Correlated SR and VR patterns with the luteinizing hormone (LH) peak.

Related Experiment Videos

Main Results:

  • A significant peak in SR was observed 5-7 days prior to the LH peak in both natural and CC cycles (r=0.94).
  • VR declined to a nadir and then increased around ovulation in spontaneous cycles.
  • VR patterns in CC cycles were similar, though initially depressed during CC therapy; increases often occurred on the day of or following the LH peak.

Conclusions:

  • SR and VR measurements are useful for predicting ovulation in both natural and CC-stimulated cycles.
  • The early prediction window offered by SR suggests potential for natural family planning.
  • This non-invasive technique provides a valuable tool for reproductive health management.