An electronic system for determining a fertility phase of a female human comprises a wearable device (1) that includes a first sensor system (101), configured to determine heart rate and heart rate variability of the female human, and a second sensor system (102), configured to determine acceleration of the female human. The electronic system further comprises a processor (13, 30), configured to detect during menstrual cycles sleep phases with resting pulse, using the heart rate variability and the acceleration, to determine a change in the resting pulse during a menstrual cycle using the heart rate, and to determine the fertility phase using a time of the change in the resting pulse. The processor for determining the fertility phase is implemented in the wearable device (1), in a mobile communication device (4), and/or in a cloud-based computer system (3).

A user-defined range of dates is displayed within a first region, and an interactive cursor is displayed at a first location within the first region, the first location corresponding to a first date within the range of dates. Based at least in part on the first date, a first estimated fertility is determined and displayed in a second region of the display area. A user input is detected at a second location distinct from the first location, the user input corresponding to a user selection of a second date in the range of dates distinct from the first date. In response, the interactive cursor is dynamically moved from the first location to the second location. Based at least in part on the second date, a second estimated fertility is determined, and the first estimated fertility in the second region is replaced with the second estimated fertility.

Health information for a woman can be used to predict timing of events related to the woman's menstrual cycle. If available, historical cycle information for a woman can be used to predict upcoming cycle events, such as the start and stop of menstruation. To improve the accuracy of those predictions, one or more health metrics are monitored for the woman that can be correlated with the menstrual cycle. These can include, for example, the resting heart rate (RHR), blood oxygen concentration (SpO.sub.2) level, and hemoglobin concentration, among other such options. The metrics are monitored over time to determine patterns that can be correlated with menstrual cycle. This information can then be used to update the predictive model, as well as to update individual event predictions. Information about the predictions, and updates to the predictions, can be surfaced accordingly.

The invention relates to a system, method and corresponding computer program for unobtrusively determining a fertile window. In particular, it relates to a wearable system such as integrated in a bra for supporting personalized prediction of the fertile window for a planned parent-hood purpose. The system (1) comprises a contact sensor unit (10) for providing a signal in contact with the woman, wherein the signal is indicative of respiration of the woman, and a processing unit (20) for processing the signal to obtain a biomechanical parameter indicative of respiration, wherein the processing unit (20) is configured to determine the fertile window of the woman based on a change in the obtained biomechanical parameter. The system (1) allows a reliable unobtrusive determination of a fertile window of a women.

An electronic system for detecting events related to a pregnancy of a female human, such as ovulation, conception, and miscarriage, comprises a wearable device (1) with a sensor system (100) worn in contact with the skin for measuring one or more physiological parameters. A processor (13, 30, 40) is configured to receive a user entry indicating a time of actual menses, and to determine time windows, for analyzing physiological parameters of the female human, using the time of actual menses. The processor is further configured to detect the pregnancy related events by comparing the physiological parameters, determined and recorded for a first time window, with those determined and recorded for a second time window, to indicate the pregnancy related events when defined detection criteria are met, and to use the user input for pregnancy related events to optimize the detection of these events with machine learning trained algorithms.

A home controlled ovarian hyperstimulation method for in vitro fertilization (IVF) or egg freezing and a home IVF kit are described herein.

Described herein are various principles related to collecting and analyzing fertility data for female humans. The underlying concept is that a woman's hormones fluctuate throughout the menstrual cycle, affecting optimal exercise routines and general health practices. A dedicated sensor may be used to collect fertility data, or an estimate may be derived from the individual's menstrual history. Once collected or estimated, the fertility data is factored with other variables to determine the optimal exercise routine or general health habits for the woman. The recommendations are communicated to the woman, who may provide feedback to further improve future recommendations.

Example embodiments relate to a sterile urine collection mechanism for medical diagnostic systems. An example device includes an initial collection component configured to collect a midstream urine sample from a patient. The device also includes a plurality of test strips configured to indicate a condition of the patient at a point of care. In addition, the device includes a sensor configured to capture an image of at least one test strip exposed to a portion of the midstream urine sample. Further, the device includes a computing device configured to analyze the image of the test strip captured by the sensor in order to determine the condition of the patient. Even further, the device includes a motor configured to position the test strip near the sensor. Yet further, the device includes an additional collection component configured to collect an additional portion of the midstream urine sample for central laboratory testing.

A non-invasive and accurate vagina evaluation device and uterine evaluation devices are provided that measure the receptivity (uterine implantation capacity) of the mother's body to a fertilized egg implanting itself into the uterus. A first vagina evaluation device includes: a main body stretchable and expandable after insertion into a vagina, followed by air injection thereinto; four electrodes brought into contact with the vagina wall as the main body expands and stretches; and fixation means configured to fix the interval of arrangement of the electrodes. Second and third uterine evaluation device include: a flexible and rod-shaped main body for insertion into a uterine cavity; and four or two impedance electrodes arranged with a predetermined interval therebetween in an insertion direction of the main body and brought into contact with an endometrium of the uterine cavity to measure a uterine endometrial impedance generated between the endometrium and each of the electrodes.

A system for changing a state of a reading device, the system comprising: a reading device arranged to operate in a first state for reading a result of a test performed using a test stick, the reading device comprising a detection means arranged to detect a first reading influenced by a detection region of the test stick; an inserter for changing a state of the reading device; wherein, when the inserter is inserted into the reading device, the detection means detects a second reading distinct from the first reading, the reading device being arranged to operate in a second state in response to detecting the second reading.