Methods, systems, and products monitor a person's regimen for medicinal and dietary restrictions. When the person's regimen requires a liquid medication or supplement, an oral instrument is commanded to dispense a dosage of fluid. The oral instrument stores a reservoir of the fluid. If the oral instrument is a spoon, for example, the spoon may automatically dispense cough syrup or other medicine. A toothbrush, likewise, may automatically dispense mouthwash. A sensor may confirm presence of the oral instrument in the person's mouth, thus ensuring the dosage of fluid is ingested.

Embodiments of a vaginal temperature sensing apparatus, a visually sense-able battery power-on indicator (16), manufacturing with cure temperatures that protect a battery, substantially error-free, user-initiated device activation componentry (30) to start battery power, and a timer to automatically terminate flow of battery power. Data can, by an automatic data transform recalculator (138) with body temperature dips in transformed and recalculated diurnal high body temperatures, predict an ovulation event and provide an indication through a zenith based ovulation indicator (106). Systems can include neural network based artificial intelligence to automatically self-improve by using historical or even other, multi user data and user input and improve its indication result.

A process for using temperature measurements to determine health metrics includes: a) using a first temperature sensor of a wearable device to obtain a first set of measurements at a first location on a user's body over a time period; b) using a second temperature sensor of the wearable device to obtain a second set of measurements at a second location on the user's body over the time period; c) processing the measurements to identify changes in temperature over the time period, determining a first health metric based on the changes, and outputting an indication of the first health metric; and d) processing the measurements to compare the temperature at the first location at a given time point to the temperature at the second location at the given time point, determining a second health metric based on the comparison, and outputting an indication of the second health metric.

Methods, systems, and products monitor a person's regimen for medicinal and dietary restrictions. When the person's regimen requires a liquid medication or supplement, an oral instrument is commanded to dispense a dosage of fluid. The oral instrument stores a reservoir of the fluid. If the oral instrument is a spoon, for example, the spoon may automatically dispense cough syrup or other medicine. A toothbrush, likewise, may automatically dispense mouthwash. A sensor may confirm presence of the oral instrument in the person's mouth, thus ensuring the dosage of fluid is ingested.

Embodiments of a vaginal temperature sensing apparatus, a visually sense-able battery power-on indicator (16), manufacturing with cure temperatures that protect a battery, substantially error-free, user-initiated device activation componentry (30) to start battery power, and a timer to automatically terminate flow of battery power. Data can by an automatic data transform recalculator (138) with body temperature dips in transformed and recalculated diurnal high body temperatures predict an ovulation event and provide an indication through a zenith based ovulation indicator (106). Systems can include neural network based artificial intelligence to automatically self-improve by using historical or even other, multi user data and user input and improve its indication result.

Embodiments of a vaginal temperature sensing apparatus, a visually sense-able battery power-on indicator (16), manufacturing with cure temperatures that protect a battery, substantially error-free, user-initiated device activation componentry (30) to start battery power, and a timer to automatically terminate flow of battery power. Data can by an automatic data transform recalculator (138) with body temperature dips in transformed and recalculated diurnal high body temperatures predict an ovulation event and provide an indication through a zenith based ovulation indicator (106). Systems can include neural network based artificial intelligence to automatically self-improve by using historical or even other, multi user data and user input and improve its indication result.

A vaginal device configured to be inserted in a vagina of a user, the vaginal device comprising: a body comprising at least two electrodes configured to measure a fertility-related parameter of the user; a power source configured to provide power to the device; and an electrical system operably connected to the power source, the electrical system operably connected to one or more of the electrodes, the electrical system configured to switch one or more of the electrodes between charging and measuring functions.

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).

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.

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.