A method and system are disclosed for determining for a female with irregular menstrual cycles a time interval of fertility, comprising receiving, in a processor (11), from a sensor system (22) of a wearable device (2) of the female, physiological data; determining an estimated time to ovulation of the female, by use of a machine learning model and the physiological data; determining the time interval of fertility using pre-determined time thresholds; and generating a message for the female indicating the time interval of fertility.

Wearable blood pressure biosensors, systems, and methods for short-term blood pressure predictions are disclosed herein. In some embodiments, a blood pressure prediction system is configured to provide short-term predictions of average blood pressures for future time period(s) or horizon(s) (e.g., for a coming week). The system can include models trained to predict future systolic values, diastolic blood pressure values, and/or trends. The models can be trained on data related to personalized body, health, and/or physical characteristics of the user, e.g., the current or previous blood pressure, amount of sleep, heart rate, blood glucose (BG), activity, weight, etc. In some embodiments, the models can also determine whether the blood pressure of the user will change or remain relatively constant over a period/range of time.

A gait state measurement device measures a gait state of a subject who is walking on a walking surface formed on a belt that runs along a circulation track. The gait state measurement device includes an acquisition unit, a position estimation unit, and a warning control unit. The acquisition unit acquires measurement information of a load distribution sensor that detects the load of the subject through the belt. The position estimation unit estimates the position of the sole of the subject based on the measurement information. The warning control unit performs a different type of warning depending on a relationship between the position of the sole of the subject and each of target areas that are defined according to an installation area of the load distribution sensor.

An apparatus for estimating bio-information is disclosed. The bio-information estimating apparatus includes: a sensor configured to measure a bio-signal; and a processor configured to obtain one or more characteristic points, related to one or more pulse waveform components constituting the bio-signal, based on a differential signal of the bio-signal, and to estimate bio-information based on the obtained one or more characteristic points.

The present invention relates to a method of continuously monitoring the biometrics of a user in order to determine and gather more accurate data on their mental state. More particularly, the present invention relates to a method of dynamically prompting the user in response to the monitoring of the user and the determination of the user's mental state. Aspects and/or embodiments seek to provide a method of substantially continuous monitoring of a user's mental state, and prompting of users based on their monitored mental state.

Various embodiments described herein relate to a method and related wearable device and non-transitory machine-readable medium including receiving sensor data from at least one sensor of the wearable device; comparing the sensor data to schedule format stored in a memory of the wearable device, wherein the schedule format specifies at least one characteristic of sensor readings previously associated with a predefined context; determining that the received sensor data matches the schedule format; determining, based on the received sensor data matching the schedule format, that the user is currently in the predefined context; identifying an action associated with the predefined context; and executing the action while the user is in the predefined context.

An input interface is configured to receive a signal corresponding to a quantity of light that has passed through a living tissue of a subject. A pressurization controller is configured to control a pressurizing operation performed with a pressurization device attached to a body of the subject, thereby changing at least one of a thickness of the living tissue, an amount of blood contained in the living tissue, an amount of cellular interstitial fluid contained in the living tissue, an amount of blood flowing into the living tissue, and an amount of blood flowing out from the living tissue. A processor is configured to acquire, from a temporal change of the signal due to the pressurizing operation, a feature quantity that is used for estimating at least one of a physiological state of the living tissue and a disease state of the subject.

A method, apparatus and device for obtaining a blood glucose measurement result. A neural network model is trained by using the following method, so as to obtain a trained first neural network model: acquiring a first invasive blood glucose measurement result of a tested object (101); forming a group of new training data by means of same and characteristic values of the most recent PPG signals of the tested object (102); training the neural network model with the training data, so as to obtain a trained first neural network model (106); and after a group of new PPG signals is acquired, extracting characteristic values of the new PPG signals, and inputting the characteristic values into the trained first neural network model, so as to obtain a target blood glucose measurement result (107).

Embodiments represent acceleration along three orthogonal axes at two or more times as a three dimensional plot. Each point in the plot is positioned according to three coordinates, each of which is proportional to the amount of acceleration along one of the orthogonal axes at a moment in time. Some embodiments render the three dimensional plot as a three dimensional article of manufacture in which each point in the plot is represented by a volume of material. Some embodiments represent the three dimensional plot in two dimensions in a graphical interface. System embodiments may include an accelerometer, processor, output device, and a non-transitory computer readable medium storing instructions causing the processor to map points with coordinates proportional to acceleration along the respective axes to a virtual three-dimensional plot and then control the output device to render the plot in two or three dimensions.

A blood oxygen saturation measurement method includes: acquiring a pressure measurement signal between a blood oxygen saturation measurement apparatus and an object; in response to determining that the pressure measurement value is within a preset range, and acquiring a blood oxygen saturation measurement signal of the object; and according to the blood oxygen saturation measurement signal of the object, obtaining a blood oxygen saturation measurement value of the object.