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 method and system for indicating a breathing pattern is disclosed. The system comprises a plurality of smart wearable devices, a plurality of mobile devices, an application server and a database. The plurality of smart wearable devices is either connected to the mobile devices or directly connected to the application server. The database is connected to the application server to store the data transmitted by the smart wearable device or the mobile device. The plurality of smart wearable devices is capable of monitoring the health index and identifying the variation in health conditions of the user, in real-time and activating a suitable breathing pattern to normalize such medical condition.

A wearable medical includes a walking detector module with a motion sensor that is configured to detect when the patient is walking or running. In embodiments, a parameter (referred to herein as a “Bouncy” parameter) is determined from Y-axis acceleration measurements. In some embodiments, the Bouncy parameter is a measurement of the AC component of the Y-axis accelerometer signal. This detection can be used by the medical device to determine how and/or whether to provide treatment to the patient wearing the medical device. For example, when used in a WCD, the walking detector can prevent “false alarms” because a walking patient is generally conscious and not in need of a shock.

A first responder dispatch system is disclosed comprising a sensing wearable configured to be worn by a first responder. The sensing wearable can comprise a wrist-worn electronic device. The sensing wearable can comprise a plurality of biometric sensors configured to measure a plurality of vital signs of the first responder. The system can comprise a server programmed to receive biometric data concerning a plurality of vital signs of the first responder measured by the sensing wearable. The server can also transmit alerts to a plurality of dispatch client devices over a plurality of secured real-time bidirectional connections concerning a status of the first responder. At least one dispatch client device can transmit a response to the server and the server can, in turn, transmit additional biometric data concerning the first responder to the dispatch client device.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Provided are a system and a computer program for managing and predicting thyrotoxicosis using a wearable device. The system for predicting thyrotoxicosis is a system for predicting thyrotoxicosis using a resting heart rate, the system including a wearable device for measuring the heart rate of a patient at regular intervals, and a bio-signal computing device for receiving heart rate information from the wearable device, the bio-signal computing device outputting a warning alarm when a resting heart rate is greater than a reference heart rate when the patient is in a normal state.

A wearable device includes a base material including a first surface, a first flow path being formed in the base material, including one end that opens into the first surface, and extending along a direction toward a second surface opposite to the first surface of the base material, a second flow path being formed in the base material and including one end connected to another end of the first flow path and another end that opens into the second surface, a water absorbing structure that is provided on the second surface and absorbs sweat transported from the first flow path through the second flow path and secreted from skin of the living body, and a sensor that is disposed on the base material, detects an electrical signal deriving from a predetermined component included in the sweat flowing from the first flow path to the second flow path.

A monitoring process, a user health and/or safety monitoring process, the monitoring process including the steps: providing a sensor set including at least one sensor; obtaining a monitoring configuration from a memory element. The monitoring configuration including: a sensor configuration associated with the sensor set and a body profile associated with a subject body and comprising reference data. The monitoring process further providing, in a memory element, measurement data relating to said subject body, said measurement data being acquired by said sensor set; computing, with computing means, a difference between the measurement data and the reference data; comparing, with comparison means, the difference and a predefined condition; changing, and with changing means, the monitoring configuration depending on the result of the comparing step.

An appliance (10) for monitoring the compression therapy provided by a compression means comprises a measuring device made of a textile material for placing on a wearer and having two end portions (20, 22) which enclose between them a central portion (28), wherein two electrodes (12-18) are arranged in each end portion (20, 22) and each form an electrode pair with an electrode (12-18) of the other end portion (20, 22), wherein one electrode pair determines a flow of electric current and the other electrode pair determines an electrical voltage between the electrodes (12-18) of a pair, wherein the electrodes (12-18) are designed such that, when the measuring device is placed on a wearer, the electric current between the electrodes (12-18) of a pair flows through the body of the wearer underneath the skin. The compression therapy is monitored here by monitoring, through determination of impedance, the decrease in liquid in tissues that are treated by the compression.

A health monitoring system comprises at least one sensor configured to measure at least one parameter relating to a condition of a subject; and a health monitoring module in communication with the at least one sensor and configured to receive from the at least one sensor a measurement of the at least one parameter; based on the measurement, generate a message; and send the message to a health operator related to the subject. Moreover, in some embodiments, the health monitoring module is further configured to determine a confidence factor for the measurement. Further, in some embodiments the health monitoring module is also configured to receive from the at least one sensor a plurality of measurements of the at least one parameter; derive a trend for the plurality of measurements; and based on the trend, determine a health state for the subject.