WO-2026096256-A1 - PREGNANCY ILLNESS DETECTION AND TRACKING

WO2026096256A1WO 2026096256 A1WO2026096256 A1WO 2026096256A1WO-2026096256-A1

Abstract

Methods, systems, and devices for pregnancy illness detection and tracking are described. A wearable device may receive pulse wave velocity data associated with a user and may determine a time series of a plurality of pulse wave velocity values taken over a plurality of days to identify a baseline value for the user associated with a blood pressure, an arterial stiffness, or both. The wearable device may detect an indication of one or more conditions experienced during a pregnancy of the user based on a first variation in one or more additional pulse wave velocity values from the baseline value, wherein the indication of a condition is detected based on a comparison of the first variation with a second variation associated with a current stage of the pregnancy of the user. A user device may be configured to display a message corresponding to the detected indication of the condition.

Inventors

RANTANEN, ANTTI ALEKSI
OHUKAINEN, PAULI JUHANI

Assignees

OURA HEALTH OY

Dates

Publication Date: 20260507
Application Date: 20251022
Priority Date: 20241029

Claims (15)

1. A method comprising: receiving physiological data associated with a user from a wearable device, the physiological data comprising pulse wave velocity data; determining a time series of a plurality of pulse wave velocity values taken over a plurality of days based at least in part on the pulse wave velocity data; identifying a baseline value for the user based at least in part on determining the time series of the plurality of pulse wave velocity values, the baseline value associated with a blood pressure, an arterial stiffness, or both, of the user; detecting an indication of one or more conditions of the user during a pregnancy of the user based at least in part on a first variation in one or more additional pulse wave velocity values from the baseline value, wherein the indication of the one or more conditions is detected based on a comparison of the first variation with a second variation associated with a current stage of the pregnancy of the user; and outputting a signal to cause a graphical user interface of a user device to display a message corresponding to the indication of the one or more conditions.
2. The method of claim 1, further comprising: determining a first time series of a first plurality of pulse wave velocity values taken over a first plurality of days based at least in part on the pulse wave velocity data, the first plurality of days corresponding to a period when the user is not pregnant, wherein identifying the baseline value is based at least in part on determining the first time series; and determining a second time series of a second plurality of pulse wave velocity values taken over a second plurality of days based at least in part on the pulse wave velocity data, the second plurality of days corresponding to the current stage of the pregnancy, wherein detecting the indication of the one or more conditions is based at least in part on determining the second time series.
3. The method of claim 1, wherein the first variation corresponds to a first decrease in the blood pressure, the arterial stiffness, or both, during at least a Attorney Docket No. P319.WO (112434.1079) Oura Ref. No. Oura262-l-WO-PCT 55 portion of the time series that is less than a second decrease in the blood pressure, the arterial stiffness, or both, during at least the portion of the time series, the second decrease corresponding to the second variation.
4. The method of claim 1, wherein the first variation corresponds to an increase in the blood pressure, the arterial stiffness, or both, during at least a portion of the time series, and the second variation corresponds to a decrease in the blood pressure, the arterial stiffness, or both, during at least the portion of the time series.
5. The method of claim 1, wherein the first variation corresponds to a first increase in the blood pressure, the arterial stiffness, or both, during at least a portion of the time series that is less than a second increase in the blood pressure, the arterial stiffness, or both, during at least the portion of the time series, the second increase corresponding to the second variation.
6. The method of claim 5, wherein the current stage of the pregnancy corresponds to a post-partum period.
7. The method of claim 1, wherein the first variation corresponds to a decrease in the blood pressure, the arterial stiffness, or both, during at least a portion of the time series, and the second variation corresponds to an increase in the blood pressure, the arterial stiffness, or both, during at least the portion of the time series.
8. The method of claim 1, further comprising: receiving an indication of the current stage of the pregnancy of the user, wherein detecting the indication of the one or more conditions is based at least in part on receiving the indication of the current stage of the pregnancy.
9. The method of claim 1, further comprising: determining body temperature data from the physiological data; and determining that the body temperature data deviates from a baseline body temperature for the user for at least a portion of the plurality of days, wherein detecting the indication of the one or more conditions is based at least in part on the body temperature data deviating from the baseline body temperature.
10. The method of claim 1, further comprising: Attorney Docket No. P319.WO (112434.1079) Oura Ref. No. Oura262-l-WO-PCT 56 determining heart rate data, heart rate variability data, or both, from the physiological data; and determining that the heart rate data exceeds a baseline heart rate for the user, that the heart rate variability data is below a baseline heart rate variability for the user, or both, for at least a portion of the plurality of days, wherein detecting the indication of the one or more conditions is based at least in part on the heart rate data exceeding the baseline heart rate, the heart rate variability data being below the baseline heart rate variability, or both.
11. The method of claim 1, further comprising: determining respiratory rate data, blood oxygen saturation data, or both, from the physiological data; and determining that the respiratory rate data exceeds a baseline respiratory rate for the user, that the blood oxygen saturation data exceeds a baseline blood oxygen saturation for the user, or both, for at least a portion of the plurality of days, wherein detecting the indication of the one or more conditions is based at least in part on the respiratory rate data exceeding the baseline respiratory rate, the blood oxygen saturation data exceeding the baseline blood oxygen saturation, or both.
12. The method of claim 1, further comprising: inputting, into a machine learning classifier, the physiological data comprising the pulse wave velocity data, wherein detecting the indication of the one or more conditions of the user during the pregnancy of the user is based at least in part on inputting the physiological data into the machine learning classifier.
13. The method of claim 1, wherein the message displays a time during which the one or more conditions occurred, a time interval during which the one or more conditions are predicted to occur, a request to input symptoms associated with the one or more conditions, educational content associated with the one or more conditions, an adjusted set of sleep targets, an adjusted set of activity targets, recommendations to improve symptoms associated with the one or more conditions, a recommendation to consult a clinician, or a combination thereof. Attorney Docket No. P319.WO (112434.1079) Oura Ref. No. Oura262-l-WO-PCT 57
14. The method of claim 1, wherein the one or more conditions comprise preeclampsia, eclampsia, gestational diabetes, hypertension, hypotension, fever, cardiometabolic disorders, infections, or a combination thereof.
15. An apparatus, comprising: one or more memories; and one or more processors coupled with the one or more memories and individually or collectively operable to cause the apparatus to: receive physiological data associated with a user from a wearable device, the physiological data comprising pulse wave velocity data; determine a time series of a plurality of pulse wave velocity values taken over a plurality of days based at least in part on the pulse wave velocity data; identify a baseline value for the user based at least in part on determining the time series of the plurality of pulse wave velocity values, the baseline value associated with a blood pressure, an arterial stiffness, or both, of the user; detect an indication of one or more conditions experienced during a pregnancy of the user based at least in part on a first variation in one or more additional pulse wave velocity values from the baseline value, wherein the indication of the one or more conditions is detected based on a comparison of the first variation with a second variation associated with a current stage of the pregnancy of the user; and output a signal to cause a graphical user interface of a user device to display a message corresponding to the indication of the one or more conditions. Attorney Docket No. P319.WO (112434.1079)

Description

Oura Ref. No. Oura262-l-WO-PCT 1 PREGNANCY ILLNESS DETECTION AND TRACKING CROSS REFERENCES [0001] The present Application for Patent claims the benefit of U.S. Patent Application No. 18/930,680 by RANTANEN et al., entitled “PREGNANCY ILLNESS DETECTION AND TRACKING,” filed October 29, 2024, assigned to the assignee hereof, and expressly incorporated by reference herein. FIELD OF TECHNOLOGY [0002] The following relates to wearable devices and data processing, including for pregnancy illness detection and tracking. BACKGROUND [0003] A user of a wearable device that collects biometric data from the user to provide insights into the user’s health and well-being may wish to detect pregnancy and conditions associated with pregnancy as early as possible, which may improve outcomes. Improved techniques for detecting pregnancy and pregnancy-related conditions using biometric data are therefore desired. BRIEF DESCRIPTION OF THE DRAWINGS [0004] FIG. 1 illustrates an example of a system that supports pregnancy illness detection and tracking in accordance with aspects of the present disclosure. [0005] FIG. 2 illustrates an example of a system that supports pregnancy illness detection and tracking in accordance with aspects of the present disclosure. [0006] FIGs. 3A, 3B, and 3C show examples of time series that support pregnancy illness detection and tracking in accordance with aspects of the present disclosure. [0007] FIG. 4 shows an example of a user interface that supports pregnancy illness detection and tracking in accordance with aspects of the present disclosure. [0008] FIG. 5 shows a block diagram of an apparatus that supports pregnancy illness detection and tracking in accordance with aspects of the present disclosure. Attorney Docket No. P319.WO (112434.1079) Oura Ref. No. Oura262-l-WO-PCT 2 [0009] FIG. 6 shows a block diagram of a wearable application that supports pregnancy illness detection and tracking in accordance with aspects of the present disclosure. [0010] FIG. 7 shows a diagram of a system including a device that supports pregnancy illness detection and tracking in accordance with aspects of the present disclosure. [0011] FIG. 8 shows a flowchart illustrating methods that support pregnancy illness detection and tracking in accordance with aspects of the present disclosure. DETAILED DESCRIPTION [0012] In some examples, a user may desire to monitor the health and well-being of the user during pregnancy. In some cases, pregnancy may be associated with a decrease in blood pressure and arterial stiffness, which may return to normal levels shortly after labor. In some cases, however, a person may experience one or more conditions during pregnancy which may disrupt the natural decrease in blood pressure and arterial stiffness. For example, preeclampsia may be associated with a continuous increase in blood pressure and arterial stiffness during pregnancy, which can lead to health complications. While assessing the changes in arterial stiffness and blood pressure may be useful for predicting these conditions, these changes may be difficult to measure. For instance, monitoring physiological changes during pregnancy often rely on sporadic measurements taken during clinical visits. This can be cumbersome and may not provide a comprehensive view of the physiological changes occurring over time. Additionally, the lack of continuous data points can make detecting subtle variations and trends that may indicate the onset of complications challenging. The reliance on manual measurements may also be inconvenient for pregnant individuals, leading to potential gaps in monitoring. [0013] In accordance with examples as described herein, a wearable device may determine pulse wave velocity (PWV) measurements to characterize changes in blood pressure and arterial stiffness. For example, baseline PWV levels, which may correspond to blood pressure and arterial stiffness for a user, may be determined over extended periods of time using the wearable device. If the user becomes pregnant, which may be detected by the wearable device or input by the user via a user device, the Attorney Docket No. P319.WO (112434.1079) Oura Ref. No. Oura262-l-WO-PCT 3 wearable device may compare the changes in PWV levels to those expected during pregnancy. For example, one or more variations to arterial stiffness or blood pressure may be expected during healthy pregnancies, and the values may return to the baseline levels after labor. As such, the wearable device may trigger warnings for a user if PWV levels indicate abnormal blood pressure or arterial stiffness, which may aid the user in seeking medical attention or diagnoses. [0014] Aspects of the disclosure are initially described in the context of systems supporting physiological data collection from users via wearable devices. Aspects of the disclosure are further described with respect to time series and user interfaces. Aspects of the disclosure are further illustrated by and described with