For years, the wearable technology industry has marketed itself on the promise of the "baseline." Whether you use an Oura Ring, a WHOOP strap, or an Apple Watch, these devices function by learning your unique physiological patterns—your resting heart rate, heart rate variability (HRV), and skin temperature—to alert you when something deviates from the norm. It is a system built on consistency.
But what happens when your body is designed to fundamentally change?
Pregnancy is perhaps the most profound physiological transformation a human body can undergo. It shifts blood volume, alters metabolic demands, and rearranges sleep architecture. For millions of users, the "baseline" their wearable relies on becomes a moving target. As the industry grapples with this, we are seeing a shift from static, data-driven notifications to context-aware health insights. However, as the research indicates, we are still in the early stages of teaching our algorithms how to understand the "new normal" of pregnancy.
The Core Challenge: When Your Baseline Stops Making Sense
Most wearable algorithms are programmed to interpret sudden spikes in heart rate or drops in HRV as signs of illness, overtraining, or extreme stress. During pregnancy, however, these "abnormal" readings are often entirely expected.
Cardiac output, for example, increases significantly during pregnancy to support the developing fetus, leading to a natural rise in resting heart rate. A study published in the journal Sensors in 2023 noted that resting heart rate can rise by 10 to 20 beats per minute, with changes beginning as early as the first trimester. If a wearable device relies solely on pre-pregnancy data, it may flag these normal physiological adaptations as "deviations" or "recovery deficits," potentially causing unnecessary anxiety for the user.
The industry is currently transitioning from a "one-size-fits-all" baseline to a more nuanced approach. Oura, for instance, has implemented a "calibration window" of 7 to 15 days for new users, acknowledging that the physiology of a pregnant user represents a different state of being than their pre-pregnancy self. Yet, this raises a critical question: how do we define a "normal" range when the goalposts are shifting every week?
A Chronological View of Physiological Evolution
To understand how wearables are struggling to keep up, one must look at the timeline of pregnancy-related biometric shifts.
The First Trimester: The Early Warning Signs
As early as weeks 5 to 7, many users begin to see shifts in their resting heart rate and skin temperature. Research from npj Digital Medicine (2024) highlighted that nightly skin-temperature measurements often rise shortly after conception before fluctuating throughout the term. This is the period where users are most likely to receive "low readiness" scores from their devices, as the body redirects energy to initial fetal development.
The Second Trimester: The Cardiovascular Load
By the second trimester, cardiac output is in full swing. The Zurich bracelet study of 23 healthy pregnant women observed that resting heart rate climbed steadily from week 8 to week 35. During this phase, HRV often trends downward. While a low HRV is usually a sign of poor recovery, during pregnancy, it is often simply a byproduct of the cardiovascular system working at a higher capacity.
The Third Trimester and Postpartum: The Final Stretch
Toward the end of pregnancy, some metrics begin to plateau or slightly reverse. The Zurich study noted a slight drop in heart rate near the end of the third trimester. Following delivery, the "postpartum reset" begins. This is a period of extreme physiological volatility, yet most wearables still treat the postpartum body as if it should immediately return to pre-pregnancy baselines, failing to account for the physical trauma of birth and the hormonal shifts of the postnatal period.
Supporting Data: What the Studies Say
The science of "pregnancy-aware" wearables is still in its infancy, relying on small, longitudinal studies.
- Heart Rate Variability (HRV): A 2025 scoping review of six studies confirmed that HRV generally declines throughout the first two-thirds of pregnancy. This decline is not necessarily a reflection of stress, but a shift in autonomic nervous system balance.
- Sleep Architecture: Data from a 2026 study in Frontiers in Global Women’s Health revealed that as pregnancy progresses, the proportion of deep sleep decreases, and periods of wakefulness increase. Devices that penalize users for "poor sleep quality" based on standard metrics often fail to recognize that fragmented sleep is an intrinsic part of the pregnancy experience.
- Temperature Discrepancies: The difference between core temperature and skin temperature remains a hurdle. A 2024 npj Digital Medicine study showed that skin temperature patterns measured by Oura rings vary based on whether one looks at "peak" or "lowest" nightly values. These inconsistencies demonstrate that we cannot yet rely on a single, universal "pregnancy temperature curve."
Industry Responses: How Major Players are Pivoting
The major players in the wearable market have begun to introduce "Pregnancy Modes" to mitigate the frustration of inaccurate scores.
- Oura: With its "Pregnancy Insights" feature, Oura allows users to track physiological trends specifically through the lens of their gestational age. By integrating symptom tracking (nausea, heartburn, etc.), the app provides a more holistic view of why a user might be feeling "off."
- WHOOP: Known for its focus on recovery, WHOOP provides pregnancy-specific coaching that adjusts for the fact that active pregnant users will see different cardiovascular responses to exercise. Crucially, they emphasize that their data should not be used as a diagnostic tool.
- Apple: With watchOS 11, Apple has taken a more cautious, systemic approach. Rather than attempting to guess the user’s physiological health via "readiness scores," they focus on providing data to the user—such as gestational age and adjustments to high-heart-rate notifications—while recommending that users turn off certain "cardio fitness" notifications during pregnancy.
Implications: The Path Forward
The current state of wearable tech for pregnant users is a "work in progress." The primary implication for users is that these devices should be viewed as observational tools, not diagnostic ones.
The Need for "Context-Aware" Algorithms
Future iterations of wearable software must move toward "dynamic baselines." Instead of comparing a user to their state in the previous month, algorithms should compare them to expected physiological ranges for their specific week of pregnancy.
The Role of Subjective Data
As Oura has begun to demonstrate, allowing users to log symptoms like Braxton Hicks contractions or nausea is vital. Wearables must move away from a purely quantitative approach. A low HRV score is far less concerning if the user can also see a note stating, "I only slept three hours due to nausea."
The Danger of Over-Alerting
There is a fine line between helpful data and medical anxiety. If a device notifies a pregnant user that their heart rate is "abnormally high," it can trigger a panic response. Companies must develop "gentler" notification systems that explain the context—acknowledging that such increases are common—while clearly stating when a user should actually consult a physician.
Postpartum Support
The most significant gap currently exists in the postpartum period. Most companies stop their pregnancy-specific guidance around 12 weeks after birth. However, the physiological return to a "pre-pregnancy baseline" is highly individual and can take much longer. Wearable manufacturers need to extend their pregnancy-aware algorithms well into the first year postpartum.
Conclusion
Wearable technology has the potential to provide pregnant individuals with profound insights into their own bodies, helping them navigate one of life’s most significant transitions. However, the technology must stop treating pregnancy as an "error state" and start treating it as a distinct physiological phase.
As the industry moves toward more refined, week-by-week tracking and better integration of subjective symptoms, the value of these devices will grow. Until then, users should treat their smart rings and watches as companions that offer interesting data points, not as substitutes for professional medical advice. The future of health tech isn’t just in tracking the numbers; it’s in understanding the story behind them.








