This paper is in the following e-collection/theme issue:

New Methods (909) Mobile Health (mhealth) (2765) Wearable Devices and Sensors (818)

Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13404, first published .
Wearable Sensors Reveal Menses-Driven Changes in Physiology and Enable Prediction of the Fertile Window: Observational Study

Wearable Sensors Reveal Menses-Driven Changes in Physiology and Enable Prediction of the Fertile Window: Observational Study

Wearable Sensors Reveal Menses-Driven Changes in Physiology and Enable Prediction of the Fertile Window: Observational Study

Authors of this article:

Brianna Mae Goodale1 Author Orcid Image ;   Mohaned Shilaih1 Author Orcid Image ;   Lisa Falco1 Author Orcid Image ;   Franziska Dammeier1 Author Orcid Image ;   Györgyi Hamvas1 Author Orcid Image ;   Brigitte Leeners2 Author Orcid Image
Article Authors Cited by (51) Tweetations (14) Metrics

Journals

  1. Maijala A, Kinnunen H, Koskimäki H, Jämsä T, Kangas M. Nocturnal finger skin temperature in menstrual cycle tracking: ambulatory pilot study using a wearable Oura ring. BMC Women's Health 2019;19(1) View
  2. Baker F, Siboza F, Fuller A. Temperature regulation in women: Effects of the menstrual cycle. Temperature 2020;7(3):226 View
  3. Willi J, Süss H, Ehlert U. The Swiss Perimenopause Study – study protocol of a longitudinal prospective study in perimenopausal women. Women's Midlife Health 2020;6(1) View
  4. Yeh C, Chung Y, Chuang K, Shu Y, Kao H, Chen P, Ko W, Ko N. An Innovative Wearable Device For Monitoring Continuous Body Surface Temperature (HEARThermo): Instrument Validation Study. JMIR mHealth and uHealth 2021;9(2):e19210 View
  5. Behar J, Liu C, Kotzen K, Tsutsui K, Corino V, Singh J, Pimentel M, Warrick P, Zaunseder S, Andreotti F, Sebag D, Kopanitsa G, McSharry P, Karlen W, Karmakar C, Clifford G. Remote health diagnosis and monitoring in the time of COVID-19. Physiological Measurement 2020;41(10):10TR01 View
  6. Davidson L, Boland M. Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes. Briefings in Bioinformatics 2021;22(5) View
  7. Zhu T, Rothenbühler M, Hamvas G, Hofmann A, Welter J, Kahr M, Kimmich N, Shilaih M, Leeners B. The Accuracy of Wrist Skin Temperature in Detecting Ovulation Compared to Basal Body Temperature: Prospective Comparative Diagnostic Accuracy Study. Journal of Medical Internet Research 2021;23(6):e20710 View
  8. Frank-Herrmann P, Freundl-Schütt T, Wallwiener L, Baur S, Strowitzki T. Familienplanung mit Zyklus-Apps – ein Update. Gynäkologische Endokrinologie 2021;19(3):219 View
  9. Brun R, Girsberger J, Rothenbühler M, Argyle C, Hutmacher J, Haslinger C, Leeners B. Wearable sensors for prediction of intraamniotic infection in women with preterm premature rupture of membranes: a prospective proof of principle study. Archives of Gynecology and Obstetrics 2022;308(5):1447 View
  10. Alzueta E, de Zambotti M, Javitz H, Dulai T, Albinni B, Simon K, Sattari N, Zhang J, Shuster A, Mednick S, Baker F. Tracking Sleep, Temperature, Heart Rate, and Daily Symptoms Across the Menstrual Cycle with the Oura Ring in Healthy Women. International Journal of Women's Health 2022;Volume 14:491 View
  11. Veletić M, Apu E, Simić M, Bergsland J, Balasingham I, Contag C, Ashammakhi N. Implants with Sensing Capabilities. Chemical Reviews 2022;122(21):16329 View
  12. Modde Epstein C, McCoy T. Linking Electronic Health Records With Wearable Technology From the All of Us Research Program. Journal of Obstetric, Gynecologic & Neonatal Nursing 2023;52(2):139 View
  13. B. S. H, K. D, R. C. M, T. G. K, A. P. Novel Technique for Confirmation of the Day of Ovulation and Prediction of Ovulation in Subsequent Cycles Using a Skin-Worn Sensor in a Population With Ovulatory Dysfunction: A Side-by-Side Comparison With Existing Basal Body Temperature Algorithm and Vaginal Core Body Temperature Algorithm. Frontiers in Bioengineering and Biotechnology 2022;10 View
  14. Kalampalikis A, Chatziioannou S, Protopapas A, Gerakini A, Michala L. mHealth and its application in menstrual related issues: a systematic review. The European Journal of Contraception & Reproductive Health Care 2022;27(1):53 View
  15. Mitratza M, Goodale B, Shagadatova A, Kovacevic V, van de Wijgert J, Brakenhoff T, Dobson R, Franks B, Veen D, Folarin A, Stolk P, Grobbee D, Cronin M, Downward G. The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review. The Lancet Digital Health 2022;4(5):e370 View
  16. Nissen M, Slim S, Jäger K, Flaucher M, Huebner H, Danzberger N, Fasching P, Beckmann M, Gradl S, Eskofier B. Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study. JMIR Formative Research 2022;6(3):e33635 View
  17. Yu J, Su Y, Zhang C, Jin L, Lin X, Chen L, Huang H, Wu Y. Tracking of menstrual cycles and prediction of the fertile window via measurements of basal body temperature and heart rate as well as machine-learning algorithms. Reproductive Biology and Endocrinology 2022;20(1) View
  18. Nichols J, Ali M, Anetor J, Chen L, Chen Y, Collins S, Das S, Devaraj S, Fu L, Karon B, Kary H, Nerenz R, Rai A, Shajani-Yi Z, Thakur V, Wang S, Yu H, Zamora L. AACC Guidance Document on the Use of Point-of-Care Testing in Fertility and Reproduction. The Journal of Applied Laboratory Medicine 2022;7(5):1202 View
  19. Uchida Y, Izumizaki M. The use of wearable devices for predicting biphasic basal body temperature to estimate the date of ovulation in women. Journal of Thermal Biology 2022;108:103290 View
  20. Risch M, Grossmann K, Aeschbacher S, Weideli O, Kovac M, Pereira F, Wohlwend N, Risch C, Hillmann D, Lung T, Renz H, Twerenbold R, Rothenbühler M, Leibovitz D, Kovacevic V, Markovic A, Klaver P, Brakenhoff T, Franks B, Mitratza M, Downward G, Dowling A, Montes S, Grobbee D, Cronin M, Conen D, Goodale B, Risch L. Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective cohort study (COVI-GAPP). BMJ Open 2022;12(6):e058274 View
  21. Edmonds J. Use of Artificial Intelligence to Improve Women’s Health and Enhance Nursing Care. Journal of Obstetric, Gynecologic & Neonatal Nursing 2023;52(3):169 View
  22. Ogidan O, Ogunniyi J, Tedimola A. Development of an Automated Temperature Measuring Device: A Potential Tool for Ovulation Detection. ABUAD Journal of Engineering Research and Development (AJERD) 2023;6(1):13 View
  23. Gregg N, Pal Attia T, Nasseri M, Joseph B, Karoly P, Cui J, Stirling R, Viana P, Richner T, Nurse E, Schulze‐Bonhage A, Cook M, Worrell G, Richardson M, Freestone D, Brinkmann B. Seizure occurrence is linked to multiday cycles in diverse physiological signals. Epilepsia 2023;64(6):1627 View
  24. Lyzwinski L, Elgendi M, Menon C. Innovative Approaches to Menstruation and Fertility Tracking: A Review of Wearable Reproductive Health Technology (Preprint). Journal of Medical Internet Research 2022 View
  25. Ali Z, Liperis G, Mincheva M, Serdarogullari M, Uraji J, Ammar O, Fraire-Zamora J. From stress to success: exploring methods addressing psychosocial stress in couples trying to conceive. Human Reproduction 2023;38(11):2277 View
  26. Gibbons T, Reavey J, Georgiou E, Becker C. Timed intercourse for couples trying to conceive. Cochrane Database of Systematic Reviews 2023;2023(9) View
  27. Grant A, Kriegsfeld L. Neural substrates underlying rhythmic coupling of female reproductive and thermoregulatory circuits. Frontiers in Physiology 2023;14 View
  28. Lee M, Song M, Bessette H, Roberts Davis M, Tyner T, Reid A. Use of wearables for monitoring cardiometabolic health: A systematic review. International Journal of Medical Informatics 2023;179:105218 View
  29. Bossung V, Singer A, Ratz T, Rothenbühler M, Leeners B, Kimmich N. Changes in Heart Rate, Heart Rate Variability, Breathing Rate, and Skin Temperature throughout Pregnancy and the Impact of Emotions—A Longitudinal Evaluation Using a Sensor Bracelet. Sensors 2023;23(14):6620 View
  30. Sides K, Kilungeja G, Tapia M, Kreidl P, Brinkmann B, Nasseri M. Analyzing physiological signals recorded with a wearable sensor across the menstrual cycle using circular statistics. Frontiers in Network Physiology 2023;3 View
  31. Niggli A, Rothenbühler M, Sachs M, Leeners B. Can Wrist-Worn Medical Devices Correctly Identify Ovulation?. Sensors 2023;23(24):9730 View
  32. Grossmann K, Risch M, Markovic A, Aeschbacher S, Weideli O, Velez L, Kovac M, Pereira F, Wohlwend N, Risch C, Hillmann D, Lung T, Renz H, Twerenbold R, Rothenbühler M, Leibovitz D, Kovacevic V, Klaver P, Brakenhoff T, Franks B, Mitratza M, Downward G, Dowling A, Montes S, Veen D, Grobbee D, Cronin M, Conen D, Goodale B, Risch L, Khasawneh R. Sex-specific differences in physiological parameters related to SARS-CoV-2 infections among a national cohort (COVI-GAPP study). PLOS ONE 2024;19(3):e0292203 View
  33. Lang A, Bruhn R, Fehling M, Heidenreich A, Reisdorf J, Khanyaree I, Henningsen M, Remschmidt C. Feasibility Study on Menstrual Cycles With Fitbit Device (FEMFIT): Prospective Observational Cohort Study. JMIR mHealth and uHealth 2024;12:e50135 View
  34. Tabbaa S, Hambright S, Sikes K, Levy G, Rydfors J. The effectiveness of cervical mucus electrical impedance compared to basal body temperature to determine fertility window. Contraception and Reproductive Medicine 2024;9(1) View
  35. Gombert-Labedens M, Alzueta E, Perez-Amparan E, Yuksel D, Kiss O, de Zambotti M, Simon K, Zhang J, Shuster A, Morehouse A, Alessandro Pena A, Mednick S, Baker F. Using Wearable Skin Temperature Data to Advance Tracking and Characterization of the Menstrual Cycle in a Real-World Setting. Journal of Biological Rhythms 2024 View
  36. Steiner C, Wecker H, Tizek L, Ziehfreund S, Preis S, Pfister K, Oberländer V, Biedermann T, Zink A. Leveraging web search data in Germany to identify unmet needs of contraceptives on a population-based level: A longitudinal retrospective study. Women's Health 2024;20 View
  37. Cromack S, Walter J. Consumer wearables and personal devices for tracking the fertile window. American Journal of Obstetrics and Gynecology 2024 View
  38. Farooq K, Lim M, Dennison-Hall L, Janson F, Olszewska A, Ahmad Zabidi M, Haratym-Rojek A, Narowski K, Clinch B, Prunotto M, Chawla D, Hunter V, Ukachukwu V. Evaluation of Machine Learning to Detect Influenza Using Wearable Sensor Data and Patient-Reported Symptoms: A Cohort Study (Preprint). Journal of Medical Internet Research 2023 View
  39. Sato D, Ikarashi K, Nakajima F, Fujimoto T. Novel Methodology for Identifying the Occurrence of Ovulation by Estimating Core Body Temperature During Sleeping: Validity and Effectiveness Study. JMIR Formative Research 2024;8:e55834 View

Books/Policy Documents

  1. Hayano J, Yuda E. Research Advancements in Smart Technology, Optimization, and Renewable Energy. View
  2. Sosnowski Ł, Szymusik I, Penza T. Information Processing and Management of Uncertainty in Knowledge-Based Systems. View
  3. Grill E, Childress-Beatty L. Patient-Centered Assisted Reproduction. View
  4. Cho P, Singh K, Dunn J. Artificial Intelligence in Medicine. View
  5. Khaloufi H, Abouelmehdi K, Beni-Hssane A. Advances on Smart and Soft Computing. View
  6. Acuna J. Female and Male Contraception. View
  7. Charlton P, Marozas V. Photoplethysmography. View
  8. Kubicki M, Ryan J, Shaw J, Depner C. Encyclopedia of Sleep and Circadian Rhythms. View
  9. Hayano J, Yuda E. Research Anthology on Advancements in Women's Health and Reproductive Rights. View
  10. Bruinvels G, Pedlar C. Sex Hormones, Exercise and Women. View
  11. Andrews R. Predictive, Preventive, and Personalised Medicine: From Bench to Bedside. View