A method for image processing medical self-test results receives a digital image of a self-test result generated by a self-test device. The digital image is processed using generalized curve field transforms to extract relevant geometrical features of the digital image to create a transformed image that is not distorted by distortions of the digital image. The transformed image is displayed for use in a medical diagnosis.

Methods, systems, and devices for pregnancy detection are described. A system may be configured to receive physiological data collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values taken over the plurality of days. The system may then identify temperature elevations in the time series of the temperature values relative to a temperature baseline for the user and detect an indication of a pregnancy of the user based on the identified temperature elevations. The indication of the pregnancy may be detectable from the identified temperature elevations prior to being detectable from a threshold increase in hormone elevations relative to a hormone baseline of the user. The system may cause the graphical user interface to display the detected indication of the pregnancy.

Methods, systems, and devices for miscarriage identification are described. A system may be configured to receive physiological data associated with a user that is pregnant and collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values. The system may then identify that the temperature values are lower than a pregnancy baseline of temperature values for the user and detect an indication of an early pregnancy loss of the user. The system may generate a message for display on a graphical user interface on a user device that indicates the indication of the early pregnancy loss.

Methods, systems, and devices for pregnancy complication identification and prediction are described. A system may be configured to receive physiological data associated with a user that is pregnant and collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values. The system may then identify that the temperature values deviate from a pregnancy baseline of temperature values for the user and detect an indication of one or more pregnancy complications of the user. The system may generate a message for display on a graphical user interface on a user device that indicates the indication of the one or more pregnancy complications.

Methods, systems, and devices for a pregnancy mode configuration are described. In some cases, the system may receive physiological data associated with a user from a wearable device and provide a first set of targets associated with one or more physiological metrics and a first set of messages associated with the one or more physiological metrics based on the received physiological data. The system may receive an indication of the user being pregnant. In some cases, the system may identify a trigger to transition from the first operational mode to a second operational mode of the application based on receiving the indication. The system may provide a second set of targets associated with the one or more physiological metrics and a second set of messages associated with the one or more physiological metrics that are adjusted for pregnancy based on the second operational mode.

Methods, systems, and devices for anovulatory cycle detection are described. A system may be configured to receive physiological data collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values taken over the plurality of days where the time series includes a plurality of ovulatory cycles for the user. The system may then identify the plurality of ovulatory cycles based on positive slopes in the time series and identify an indication of an anovulatory cycle based on deviations in the time series. The system may generate a message for display on a graphical user interface on a user device that indicates the indication of the identified anovulatory cycle.

Methods, systems, and devices for fertility prediction are described. A system may be configured to receive physiological data collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values taken over the plurality of days where the time series includes a plurality of menstrual cycles. The system may then determine a plurality of menstrual cycle length parameters associated with the menstrual cycles and determine a user fertility prediction based on the menstrual cycle length parameters. The system may generate a message for display on a graphical user interface that indicates the determined user fertility prediction.

Methods, systems, and devices for labor onset and birth identification and prediction are described. A system may be configured to receive physiological data associated with a user that is pregnant and collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values. The system may then calculate a pregnancy baseline temperature slope for the user and identify that the temperature slope deviates from the pregnancy baseline temperature slope for the user. The system may detect an indication of a labor onset of the user and generate a message for display on a graphical user interface on a user device that indicates the indication of the labor onset.

A system for monitoring a fetus in a pregnant woman, and/or the maternal health risk for pregnancies complicated by such as pre-eclampsia and hypertensive disorders is configured to be worn by the pregnant woman, preferably so as to allow monitoring during daily life, e.g. in the form of an adhesive patch. The unit has a sound sensor, e.g. a microphone or accelerometer, to be positioned on the skin of the abdominal area so as to detect a vascular sound from umbilical arteries of the fetus or from the uterine arteries of the pregnant woman. The sound sensor is functionally connected to a processing unit which executes a processing algorithm on the captured vascular sound and extracts a signal parameter accordingly. The processing unit then communicates the signal parameter, e.g. using an audio signal, a visual display or by means of a wired or a wireless data signal.

A system (2; 4) for measuring the movement of a birthing mother in a birthing pool (1; 3), the system comprises: a) a birthing pool (1; 3), the pool (1; 3) comprising a base (11; 31) and a peripheral wall (12; 32) upstanding from the base (11; 31), the pool (1; 3) further comprising at least one motion sensor (21, 22; 41, 42), the motion sensor (21, 22; 41, 42) being located adjacent the peripheral wall (12; 32) and/or on the base (11; 31), and wherein the at least one motion sensor (21, 22; 41, 42) is configured or configurable to detect the movement of the birthing mother in the pool (1; 3); b) a processing means, e.g. a processor, operatively connected to the at least one motion sensor (21, 22; 41, 42); wherein the system is configured to monitor motion of the mother whilst located within the birthing pool (1; 3).