An analytical toilet, comprising: a bowl adapted to receive excreta; one or more conduits for transporting a sample from the bowl; one or more fluid sources in fluid connection with the one or more conduits; and one or more microfluidic chips, comprising: at least one microfluidic fluid inlet channel; and a sensor configured to detect at least one property of an excreta sample is disclosed.

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.

Systems, methods, and apparatus are disclosed for determining quantitative hormone and chemical analyte results from qualitative test results. An image is taken of an ovulation test device. The image is analyzed to identify a darkness intensity ratio (T/C ratio) between a darkness value of a test-line to a darkness value of a control-line. Additionally, a quantitative substance level may be determined using the T/C ratio, by identifying the type of test device and referencing a data structure that relates quantitative substance levels to T/C ratios for the identified type of test device.

A method and apparatus for determining at least one representative temperature value for a female human user for an extended period includes receiving at least a first, second and third plurality of temperature measurements obtained from a female human user during at least first, second and third respective extended periods, wherein each extended period includes at least one hour and wherein the start of each extended period is separated by at least 8 hours. At least one representative temperature value is calculated for the second extended period. The representative temperature value is calculated using at least one first temperature value obtained from a plurality of measurements taken during the first extended period, at least one second temperature value obtained from a plurality of measurements taken during the second extended period and at least one third temperature value obtained from a plurality of measurements taken during the third extended period.

An information processing device determines a short term length and a long term length so that a timing(s) at which a short-term moving average of a plurality of days of body temperatures measured during past menstrual cycles falls below a long-term moving average of the body temperatures coincides with a menstrual date. The information processing device identifies the timing at which a short-term moving average calculated with the determined short term length exceeds a long-term moving average calculated with the determined long term length, of body temperatures measured during a target menstrual cycle. Based on the identified timing, the information processing device predicts the next menstrual date or estimates the arrival of an ovulation date.

Provided are methods, systems, devices, and computer readable media for determining fertility level indicators or an ovulation status for a subject. This includes receiving, at a processor in communication with a memory, a voice sample from the subject; extracting, at the processor, at least one voice feature value from the voice sample for at least one predetermined voice feature; determining, at the processor, an ovulation status for the subject based on the at least one voice feature value; and outputting, at an output device, (i) a fertility level indicator for the subject based on the ovulation status, and/or (ii) an ovulation status indicator for the subject based on the ovulation status.

The present invention discloses software programs, systems and methods for increasing the chances of users conception by maximizing the user's fertility potential by providing a software program that combines identifying the underlying causes of infertility and using best practices as described by current medical literature for fertility changes along with herbal recommendations to provide personalized wellness recommendations that give the individual user the power to improve their natural fertility.

A method and a device for detecting physiological indexes. The method includes: obtaining a body temperature fluctuation value associated with a user, where the body temperature fluctuation value is at least obtained by a first difference value between a current shell temperature associated with the user and a basal temperature associated with the user (101); and determining a current physiological index associated with the user based on the body temperature fluctuation value associated with the user (102). The method can be applicable in a detection process for physiological indexes and can perform health-related operations based on the detected physiological indexes including a body temperature measuring result.

A portable body fluid testing device includes: a test unit which has a sample part, onto which a body fluid of a user is applied, formed on one surface of a body thereof lengthily formed in one direction, is provided with a magnifying lens group, and has a contact part formed on the other surface of the body; and a user terminal which has a camera coming into contact with the contact part of the test unit, captures an image of the body fluid, applied to the sample part, by means of the camera, analyzes the image of the body fluid, and thereby determines the state of the body fluid.

An electronic system for non-invasive monitoring of estrogen of a female human comprises a wearable device (1) and a processor (13, 30, 40). The wearable device (1) includes a first sensor system (101) configured to be worn in contact with the skin of the female human and to determine a level of perfusion of the female human. The processor (13, 30, 40) is configured to receive and store the level of perfusion of the female human from the first sensor system (101) for a respective point in time. The processor (13, 30, 40) is further configured to determine a change in the level of perfusion of the female human, using the levels of perfusion of the female human stored for a plurality of respective points in time. Furthermore, the processor (13, 30, 40) is configured to detect a change in estrogen level of the female human based on the change in the level of perfusion of the female human.