Identification and prediction of the fertile window with a new web-based medical device using a vaginal biosensor for measuring the circadian and circamensual core body temperature
Open accessAbstract
Fertility awareness-based (FAB) methods represent a term that includes all family planning methods that are based on the identification of the fertile window. They are based on the woman's observation of physiological signs of the fertile and infertile phases of the menstrual cycle. The first approach consists basically in symptothermal methods accompanied by cervical mucus measurements and clinical menstrual cycling data recording. The second most often used methods are the urinary measurement of E3G and luteinizing hormone (LH) with a personalized computer system. Hence these systems lack the efficacy of the continuous circadian and circamensual measurement of the core body temperature. Only this approach enables the accurate detection of the ovulation during the fertile window. A new medical device called OvulaRing has been developed to fill this gap. In the present study, the system and its first clinical results are presented. OvulaRing is a medical device used just like a tampon. The device is a vaginal ring of evatane that contains an integrated biosensor. This sensor measures continuously every 5 min the core body temperature throughout the entire cycle. This device allows a circadian and circamensual intravaginal exact measurement. With this system, 288 measurements are created per day. The system can detect retrospectively and predict prospectively the fertile window of the users. One hundred and fifty eight women aged between 18 and 45 years used this medical device in an open non-randomized clinical study for 15 months. A total of 470 cycles could be recorded and were able for analysis. By the same time in a subgroup of patients, hormonal assessments of LH, follicle-stimulating hormone, estradiol and progesterone as well as vaginal ultrasound were performed in parallel between the 9th and the 36th day of the cycle. The validation error due to software errors was 0.89% for the retrospective analysis; that means that the accuracy for the detection of the ovulation was 99.11%. Accuracy of 88.8% for a window of 3 days before ovulation, the day of ovulation and the 3 days after ovulation was achieved for the prospective analysis. In the subgroup of woman with recorded pregnancies, it could be shown that after 3.79 months of use (median) pregnancies were observed. In 67.72% in up to 3 months, in 16.36% between 3 and 6 months of use, in 7.27% between 7 and 9 months, in 5.45% between 10 and 12 months and in 1.82% between 13 and 15 months of use of the system. With this new web-based system, a precise determination of the fertile window even in women with ultralong cycles (>35 days) could be detected independently of their personal live circumstances. Exact determination of the fertile window is herewith possible so that OvulaRing represents an evolution in the FAB method for the cycle diagnosis of women with regular, irregular or anovulatory menstrual cycles.
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Basal body temperature based apps detect the BBT rise.
“basal body temperature (BBT; defined as lowest resting body temperature) based apps that detect the BBT rise,20–22”
From Real-world menstrual cycle characteristics of more than 600,000 menstrual cycles (2019) · cites this paper as [22]
The Ovularing study found that 83.4% of cycles were biphasic.
“− 83.4% of the cycles were biphasic.”
From Temperature regulation in women: Effects of the menstrual cycle (2020) · cites this paper as [184]
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References 33 · Cited by 44
- Authors
- Regidor, P.-A., Kaczmarczyk, M., Schiweck, E., Goeckenjan-Festag, M., & Alexander, H.
- Affiliations
- Exeltis West Europe & Germany, Ismaning, Germany;
- Technische Universität Dresden (DE)
- Department of Gynecology and Obstetrics, Technische Universität Dresden, Dresden, Germany
- Corresponding author
- Regidor, Pedro-Antonio
- Venue
- Gynecological Endocrinology
- Publisher
- Informa UK Limited
- Published
- 2017-10-28
- Volume
- 34
- Issue
- 3
- Pages
- 256-260
- ISSN
- 0951-3590 (ISSN-L)
- 1473-0766
- OpenAlex
- W2765548329
- Cited by
- 44
- References
- 33
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 4 · 2023: 2 · 2022: 5 · 2021: 5 · 2020: 5 · 2019: 2 · 2018: 3
- FWCI
- 2.56
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Gynecological Endocrinology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Reproductive Health and Contraception
- Health Sciences › Medicine › Reproductive Medicine › Reproductive Health and Technologies
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- fertility awareness-based methods, ovulation detection, vaginal ring, core body temperature, symptothermal method, natural family planning, pregnancy outcomes, menstrual cycle monitoring, luteinizing hormone, estradiol, follicle-stimulating hormone, progesterone
- MeSH terms
- Adolescent, Adult, Body Temperature, Circadian Rhythm, Female, Fertility, Humans, Menstrual Cycle, Middle Aged, Ovulation, Biosensing Techniques, Ovulation Prediction, Young Adult
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