General feature selection technique supporting sex-debiasing in chronic illness algorithms validated using wearable device data DOI Creative Commons
Jamison H. Burks, Lauryn Keeler Bruce, Patrick Kasl

et al.

npj Women s Health, Journal Year: 2024, Volume and Issue: 2(1)

Published: Nov. 6, 2024

Abstract In tasks involving human health condition data, feature selection is heavily affected by data types, the complexity of manifestation, and variability in physiological presentation. One type often overlooked or oversimplified effect biological sex. As females have been chronically underrepresented clinical research, we know less about how conditions manifest females. Innovations wearable technology enabled individuals to generate high temporal resolution for extended periods time. With millions days now available, additional pipelines should be developed systematically identify sex-dependent along with effects many per-person are included analysis. Here present a set statistical approaches as technique identifying behavioral manifestations complex diseases starting from longitudinal which evaluated on diabetes, hypertension, their comorbidity.

Language: Английский

World Sleep Society Recommendations for the Use of Wearable Consumer Health Trackers That Monitor Sleep DOI
Michael W.L. Chee, Mathias Baumert, Hannah Scott

et al.

Sleep Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 106506 - 106506

Published: April 1, 2025

Language: Английский

Citations

2

Self-management of everyday female health: The role of self-care agency, patient-centered communication, and technology features in the intention to adopt period-tracking apps DOI
Qiwei Wu, Elizabeth Babin Pask

Social Science & Medicine, Journal Year: 2025, Volume and Issue: 370, P. 117851 - 117851

Published: Feb. 14, 2025

Language: Английский

Citations

1

The Impact of Artificial Intelligence on Human Sexuality: A Five-Year Literature Review 2020–2024 DOI Creative Commons
Nicola Döring,

Thuy Dung Le,

Laura M. Vowels

et al.

Current Sexual Health Reports, Journal Year: 2024, Volume and Issue: 17(1)

Published: Dec. 4, 2024

Language: Английский

Citations

4

Artificial intelligence in human reproduction DOI
Gerardo Mendizabal‐Ruiz, Omar Paredes,

Ángel Álvarez

et al.

Archives of Medical Research, Journal Year: 2024, Volume and Issue: 55(8), P. 103131 - 103131

Published: Nov. 29, 2024

Language: Английский

Citations

3

Menstrual cycle monitoring in applied sport settings: A scoping review DOI
Mikaeli A. Carmichael, Kate Perry, Alexandra H. Roberts

et al.

International Journal of Sports Science & Coaching, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Objectives The aim of this review was to summarise the existing literature concerning implementation menstrual cycle tracking in applied sport settings. Methods For scoping review, database searches were conducted ProQuest, PubMed, Scopus, SportDISCUS, and Web Science. Screening performed by two independent reviewers identify academic publications that related concept Results Twenty-six articles published between 2001 2024 fulfilled inclusion criteria. These most commonly original research (n = 19) last years 20). One protocol paper six opinion journals also included. Twelve 26 recommend implementing settings; many encourage providing education 13) facilitating more open communication 10) on menstrual-related topics. Where conducted, done using calendar-based methods alone 5) or conjunction with urinary 3), capillary blood 2) venous 1) hormone measures, ovulation test kits 1). Conclusions Menstrual may be a useful tool for promoting self-awareness, identifying dysfunction, managing symptoms. However, practice there are potential risks, such as loss privacy misuse data. There is need ecologically valid tools can subtle disturbances, make beneficial efficient.

Language: Английский

Citations

0

Ear‐Area Soft Electronics for Advanced Healthcare Monitoring DOI
Yue Yu, Haoyu Zhang, Xiaosen Pan

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

Abstract The ear harbors a wealth of critical physiological and pathological information, positioning it as an ideal site for healthcare monitoring. However, the intricate geometry sensitivity pose formidable technical hurdles to effective Soft electronics, renowned their mechanical deformability, excellent skin conformability, biocompatibility, offer compelling advantages, particularly within emerging contexts fifth‐generation technology Internet Things. These innovations provide essential support achieving comprehensive monitoring via ear‐area soft electronics. This review comprehensively outlines recent advancements in electronics advanced authors begin by elucidating properties external, middle, inner from clinical perspectives. Subsequently, leveraging these anatomical insights, state‐of‐the‐art bioelectric, biophysical, biochemical, multimodal are explored. Furthermore, insights offered into enduring challenges prospective directions systematic sensor design, data processing methodologies, translational applications. As whole, will new paradigms shift evolution wearable implantable thereby fostering rapid high‐quality development systems.

Language: Английский

Citations

0

Menstrual cycle phases and dosage of synthetic hormonal contraceptives influence diurnal rhythm characteristics of distal skin temperature DOI
Manuela Dittmar,

Leefke Möllgaard,

Felicia Engelhard

et al.

Chronobiology International, Journal Year: 2024, Volume and Issue: 41(5), P. 684 - 696

Published: April 18, 2024

This study aimed to explore how natural menstrual cycle phases and dosage of oral hormonal contraceptives (OC) influence the diurnal rhythm distal skin temperature (DST) under real-life conditions. Participants were 41 healthy females (23.9 ± 2.48 y), comprising 27 taking monophasic (OC users) 14 with cycles (non-OC users). Wrist DST was continuously recorded averaged over two consecutive 24-hour days during (pseudo)follicular (pseudo)luteal phases. Diurnal characteristics, i.e. acrophase amplitude, describing timing strength rhythm, respectively, calculated using cosinor analysis. Results show that non-OC users experienced earlier maximum (acrophase, p = 0.019) larger amplitude (p 0.016) luteal phase than follicular phase. observed in most (71.4%) but not all individuals. The OC showed no differences or between pseudoluteal pseudofollicular a higher progestin displayed for 0.009), while estrogen had effect. In conclusion, cause changes similar those cycles, suggesting synthetic progestins act manner on thermoregulation as progesterone does.

Language: Английский

Citations

0

Oura Ring as a Tool for Ovulation Detection (Preprint) DOI
Nina Thigpen, Shyamal Patel, Xi Zhang

et al.

Published: May 17, 2024

BACKGROUND Oura Ring is a wearable device that estimates ovulation dates using physiology data recorded from the finger. Estimating date can aid fertility management for conception or nonhormonal contraception and provides insights into follicular luteal phase lengths. Across reproductive lifespan, changes in these lengths serve as biomarker health. OBJECTIVE We assessed strengths, weaknesses, limitations of to estimate date. compared performance across cycle length, variability, participant age. In each subgroup, we algorithm’s with traditional calendar method, which based on an individual’s last period start average menstrual length. METHODS The study sample contained 1155 ovulatory cycles 964 participants recruited commercial database. Ovulation prediction kits served benchmark evaluate performance. Fisher test was used determine odds ratio assess if detection rate significantly differed between methods subgroups. Mann-Whitney <i>U</i> accuracy estimated reference dates. RESULTS method detected 1113 (96.4%) ovulations error 1.26 days, lower (<i>U</i>=904942.0, <i>P</i>&lt;.001) than method’s 3.44 days. had better all lengths, variability groups, age groups (<i>P</i>&lt;.001). fewer short (odds 3.56, 95% CI 1.65-8.06; <i>P</i>=.008) but did not differ typical long abnormally cycles. Abnormally were associated decreased (<i>U</i>=22,383, <i>P</i>=.03), mean absolute 1.7 (SEM .09) days 1.18 .02) differences while performed worse irregular (<i>U</i>=21,643, <i>P</i>&lt;.001). CONCLUSIONS demonstrated superior over approximately 3-fold improvement. Calendar-based tracking could be backup cases insufficient should caution, particularly individuals Our analyses suggest reliably adults aged 18-52 years, variety users regular This may tool improve fertile window estimation, conceiving preventing pregnancies. also offers low-effort solution length tracking, are key biomarkers

Language: Английский

Citations

0

Envisioning a Path from the Internet of Medical Things to Improved Fertility Care Access: A Mini-Review DOI Creative Commons

Olutunmike Kuyoro,

Randi H. Goldman

F&S Reports, Journal Year: 2024, Volume and Issue: 5(4), P. 344 - 349

Published: Sept. 26, 2024

Language: Английский

Citations

0

Innovative Approaches to Digital Health in Ovulation Detection: A Review of Current Methods and Emerging Technologies DOI
Katerina Shkodzik

Seminars in Reproductive Medicine, Journal Year: 2024, Volume and Issue: 42(02), P. 081 - 089

Published: June 1, 2024

Abstract Ovulation is a vital sign, as significant body temperature, heart rate, respiratory and blood pressure, in assessing overall health identifying potential issues. key event of the menstrual cycle that provides insights into hormonal reproductive aspects. Affected by orchestra hormones, namely thyroid, prolactin, androgens, disruptions ovulation can indicate endocrinological conditions lead to gynecological problems, such heavy bleeding, irregular periods, amenorrhea, dysmenorrhea, difficulties getting pregnant. Monitoring detecting aid early detection issues, extending beyond concerns. It help identify underlying causes symptoms like excessive fatigue abnormal hair growth. The integration digital technologies, mobile apps using machine learning algorithms, wearables tracking breath sleep patterns, devices measuring hormones urine or saliva samples, offers wealth opportunities family planning, issue diagnosis, treatment adjustment, cycles during assisted techniques. These advancements provide comprehensive approach monitoring, addressing both

Language: Английский

Citations

0