The CUE Fertility Monitor compared to ultrasound and LH peak measurements for fertile time ovulation detection

1996 ◽  
Vol 12 (2) ◽  
pp. 111-121 ◽  
Author(s):  
G. Freundl ◽  
M. Bremme ◽  
P. Frank-Herrmann ◽  
S. Baur ◽  
E. Godehardt ◽  
...  
Keyword(s):  
Ovulation Detection ◽  
Fertility Monitor

Ovulation Detection

1992 ◽  
Vol 21 (1) ◽  
pp. 39-55 ◽  
Author(s):  
Kamran S. Moghissi
Keyword(s):  
Ovulation Detection

Predicting menstrual migraine with a home-use fertility monitor

Neurology ◽  
2005 ◽  
Vol 64 (3) ◽  
pp. 561-563 ◽  
Author(s):  
E. A. MacGregor ◽  
A. Frith ◽  
J. Ellis ◽  
L. Aspinall
Keyword(s):  
Menstrual Migraine ◽  
Fertility Monitor

Ovulation Detection by Internal Cranial Temperature Measurements

1965 ◽  
Vol BME-12 (1) ◽  
pp. 2-7
Author(s):  
A. J. Adducci ◽  
T. E. Weidenkopf ◽  
D. J. Garwacki
Keyword(s):  
Temperature Measurements ◽  
Ovulation Detection

scholarly journals Pilot Evaluation of a New Urine Progesterone Test to Confirm Ovulation in Women Using a Fertility Monitor

2019 ◽  
Vol 7 ◽  
Author(s):  
Thomas P. Bouchard ◽  
Richard J. Fehring ◽  
Mary Schneider
Keyword(s):  
Fertility Monitor

scholarly journals An AI-based quantitative home-use framework for assessing fertility and identifying novel hormone trends by recording urine hormones

2021 ◽  
Author(s):  
Siddharth Pattnaik ◽  
Dipankar Das ◽  
Varun Akur Venkatesan
Keyword(s):  
Clinical Trial ◽  
Retrospective Study ◽  
Cycle Duration ◽  
Female Hormone ◽  
Menstrual Cycles ◽  
Home Based ◽  
Recovery Percentage ◽  
Predicted Values ◽  
Fertility Monitor ◽  
Urinary Hormones

Fertility testing using urinary hormones has been used to improve the likelihood of pregnancy effectively. To provide fertility scores, the existing home-use systems measure one or two hormones. However, the hormone profiles vary depending on cycle duration, fertility-related disorders, drugs and other treatments. Here we introduce Inito, a mobile-phone connected reader that is scalable to multiple hormone tests. In this report, we assess the accuracy of the quantitative home-based fertility monitor, Inito Fertility Monitor (IFM), and suggest using IFM as a device to monitor and analyse female hormone patterns. We further show that Inito can be used as a tool to decipher novel hormone patterns in a more profound way than the existing knowledge in the field. There were two aspects to our analysis: i. Evaluation of Inito Fertility Monitor efficiency characteristics for urinary Estrone-3-glucuronide (E3G), Pregnanediol glucuronide (PdG) and Luteinizing hormone (LH) assessment, and ii. A retrospective study of patients' hormone profiles using IFM. For the performance assessment, the recovery percentage of the three hormones from IFM was evaluated using standard spiked solutions, the reproducibility of re-prediction and the correlation between re-predicted values from IFM and ELISA. The first urine sample of the day was collected from 100 women who volunteered for the study and IFM was provided to 52 more women to use it at home to track their fertile days. We observed that with all three hormones, IFM had an accurate recovery percentage and had a CV of less than 10 percent for separate test strips through tests of the same dosage making it a reliable tool to monitor hormone patterns of patients. Furthermore, in predicting the concentration of E3G, PdG and LH in urine samples, we show that IFM has a high correlation with ELISA. We show that certain hormone trends associated with urinary E3G, PdG and LH could be accurately captured using IFM. In addition, we report a novel criterion for earlier confirmation of ovulation compared to existing criteria. Finally, we present a novel hormone pattern associated with most of the menstrual cycles by examining hormone profiles from the volunteers recruited for the clinical trial. The Inito Fertility Monitor is an effective tool for calculating the urinary concentrations of E3G, PdG and LH and can also be used to provide accurate fertility scores and confirm ovulation. In addition, the sensitivity of IFM facilitates the monitoring of menstrual cycle-related hormone patterns, therefore also making it a great tool for physicians to track the hormones of their patients.

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