In order to objectively grasp a stress state of a user and to prevent postpartum depression, biological gas information is acquired via a network, where the biological gas information indicates a concentration of benzothiazole of the user and is obtained by a sensor that detects benzothiazole released from a skin surface of the user. From a memory storing information including an upper limit of a normal range of the concentration of benzothiazole per unit period, the information indicating the upper limit of the normal range is read out. When a frequency in the unit period with which the concentration of benzothiazole of the user exceeds the upper limit of the normal range is determined to have an increasing tendency based on the biological gas information obtained during a pregnancy period of the user, the information related to stress of the user is output to an information terminal of the user.

A wireless wearable sensor device, system, method, and non-transitory computer readable medium for screening for structural heart disease based on electrocardiogram, phonocardiogram, and/or accelerometer signals on a patient's skin surface.

A stress analysis apparatus includes a stress level estimation unit for estimating a stress level of a user from biological information of the user, a stress state specification unit for specifying a time period during which the user is in a preset stress state, based on a time-series change of the estimated stress level, and a stress cause association unit for associating the specified time period with information regarding the user.

Systems and method for monitoring the blood glucose concentration of a patient during a hemodialysis session and automated administration of a medication in response to the glucose concentration falling outside a specified range. The system includes a hemodialysis system and a glucose sensor. The hemodialysis system includes a control system, at least one medication infusion pump, and a dialyzer fluidly connectable to a venous patient line and an arterial patient line. The glucose sensor is in communication with the control system and positioned to continuously measure the blood glucose concentration of the patient during the hemodialysis session. The control system can be programmed to provide automated administration of medication by the at least one medication infusion pump in response to changes in the blood glucose concentration of the patent during the hemodialysis session.

Devices, systems, and methods can be used to suggest a discovery to an individual related to their health and wellness, including receiving data about the individual from a user interface regarding a goal for the individual, querying the individual regarding their perception of the goal, determining, a likely state of the individual (e.g., readiness to change), and selecting a subset of discoveries to display to the individual from a database that correspond to both the goal for the individual and the likely state of the individual. Displaying information may include receiving motion data including duration of motion, classifying a type of activity the individual is engaged in based on the motion data and likely intensity of the activity, and displaying a graphical user interface including a color spectrum, depending on one of the type of activity, intensity of the activity, or duration of the activity.

Disclosed is a method (100) of providing a personalized parameter model of at least part of the physiology of a person (10) carrying a set of sensors (12, 14, 16) with a computer system (20, 50) comprising a processor arrangement (22, 52) for the purpose of updating a biophysical model or digital twin of the person. The method comprises, with said processor arrangement, receiving (103) sensor data from said set of sensors with the communication interface over a defined period of time, the sensor data from each sensor representing a parameter relevant to an actual physiological state of the person; evaluating (105) the received sensor data from each sensor to define the personalized parameter model (3), said model including the evaluated dynamic behaviour of the values of each parameter observed with said sensors over the defined period of time and providing (107) the defined personalized parameter model for updating a digital model (1) of at least part of the anatomy of said person. Also disclosed is a method (200) for updating such a digital twin in which the digital twin is updated using such a personalized parameter model. In addition, a computer program product for implementing such methods and a computer system (20) implementing such methods are also disclosed.

A mechanism for estimating windows for menstrual cycles and fertility. The mechanism tracks menstrual cycles based on accuracy of predictions as compared to user input logging the start and stop of a cycle; this user input and the accuracy of prior cycle predictions is used to improve and update future predictions. Thus, as the mechanism receives additional data, it refines its predicted fertility window and period. A user's heart rate may be used to estimate fertility windows, periods, and other portions of a menstrual cycle.

A medical device capable of transmitting a radiofrequency signal to and/or receiving a radiofrequency signal from an external device is provided. The medical device comprises at least one component that contains a polymer composition that exhibits a dielectric constant of about 6 or less at a frequency of 2 GHz, wherein the polymer composition includes a liquid crystalline polymer.

Systems, devices, and methods are described for providing, among other things, a device including a heartbeat mimetic unit configured to generate an acoustic stimulus that mimics a heartbeat. In an embodiment, the device includes a warm-touch unit configured to generate a thermal stimulus. In an embodiment, the device includes a controller unit operably coupled to the heartbeat mimetic unit and the warm touch unit, the controller unit configured to activate at least one of the heartbeat mimetic unit or the warm-touch unit. In an embodiment, the device includes a communication unit configured to exchange at least one of heartbeat mimetic data or warm-touch data with a remote network.

In various embodiments, a system for cleaning, marking, and/or interpreting physiological data is disclosed. The system includes a memory having instructions stored thereon, and a processor configured to read the instructions to: receive a training data set comprising physiological data including labeled events corresponding to a predetermined portion of the physiological data, generate a trained artificial intelligence (AI) model configured to identify events within device data, and identify at least one physiological event within a target device data set based on the trained AI model. The trained AI model is generated using an iterative training process based on the training data set.