An ambulatory medical device configured to analyze heart rates in different operating modes includes a plurality of ECG sensing electrodes, a plurality of therapy electrodes and at least one processor configured to in a default operating mode, perform a default heart rate calculation for determining a heart rate of the patient for use in detecting a cardiac arrhythmia condition of the patient. The at least one processor is configured to change a device operating mode from a default mode based on detecting patient activity to an activity operating mode, and in the activity operating mode, perform a different heart rate calculation from the default heart rate calculation for determining the heart rate for use in detecting the cardiac arrhythmia condition of the patient during the activity operating mode. The at least one processor is configured to deliver the treatment in response to detecting the cardiac arrhythmia condition.

A wearable environmental sensor is configured to measure environmental information regarding a place where the device is worn, and includes a black-bulb temperature sensor including a black bulb and a temperature sensor for measuring internal temperature in the black bulb, the black-bulb temperature sensor being in a housing, wherein the black bulb includes an insertion hole into which the temperature sensor is inserted, the black bulb includes a weld portion welded to the housing, in an outer-circumferential portion of the bottom surface, the black bulb includes a guide portion in an outer-circumferential portion around the insertion hole, the housing includes an insertion opening into which the guide portion of the black bulb is inserted, the housing includes a protruding portion at an outer-circumferential portion around the insertion opening, and the guide portion is supported by the protruding portion.

The present invention relates to a wearable smart appliance in the form of a wristwatch. The appliance is designed to track a user's vital signs and send real-time alerts to a paired electronic device for remote monitoring of the user. More specifically, the appliance tracks vital signs such as heart rate, and notifies a parent or guardian if the user is in danger. The appliance also includes a water sensor that activates an alert if the sensor is underwater for a certain length of time. A GPS sensor detects the current location of the user and is included in the real-time alerts during emergencies.

In an example method, a mobile device obtains sample data generated by one or more sensors over a period of time, where the one or more sensors are worn by a user. The mobile device determines that the user has fallen based on the sample data, and determines, based on the sample data, a severity of an injury suffered by the user. The mobile device generates one or more notifications based on the determination that the user has fallen and the determined severity of the injury.

The present disclosure generally relates to health-related user interfaces. In some embodiments, user interfaces for managing health-related data are described. In some embodiments, user interfaces for viewing health data are described. In some embodiments, user interfaces related to sharing health data are described.

A system and method are described for controlling a vehicle interior environmental condition. A biometric sensor senses a biometric condition of a vehicle seat occupant and generates a sensed biometric condition value. A controller receives the sensed biometric condition value, a sensed interior environmental condition value, and a sensed exterior environmental condition value. Each of multiple exterior environmental condition values has an associated biometric condition value defined as optimal for the vehicle occupant. The controller determines the optimal biometric condition value associated with the sensed exterior environmental condition value, compares the optimal biometric condition value to the sensed biometric condition value, and in response to a difference between the optimal biometric condition value and the sensed biometric condition value, generates a control signal to control an actuator to control the controllable interior environmental condition to reduce the difference between sensed biometric condition value and the optimal biometric condition value.

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.

Methods and apparatuses for athletic performance and technique monitoring are disclosed. In one example, a sensor output is received associated with a movement of a user torso during a running motion. The sensor output is analyzed to identify an undesirable torso motion.

The systems and methods can provide continuous, efficient, accurate, non-contact, monitoring of one or more cardiorespiratory and/or behavior parameters associated with a subject in a defined environment using at least non-contact sensor data and provide feedback based on the determined parameters. The system can include one or more sensor modules disposed within defined environment(s). The system may further include one or more sensors disposed at a specific spatial location in the defined environment. The sensor(s) may include non-contact electric field sensor(s) configured to record non-contact sensor data related to one or more periods of stillness and/or movement of the subject. The system may further include one or more processors configured to determine cardiorespiratory respiratory parameters and/or behavior parameters using the non-contact sensor data. Because the systems and methods also allow for continuous collection of measurable variables, they can provide a high-throughput quantifiable record of the subject's physio-behavioral self.

An intelligent psychological assessment and intervention system based on an independent space, comprising a psychological intervention cabin and a central database which achieves data interaction with the psychological intervention cabin. The psychological intervention cabin comprises a housing, a data acquisition module, a data processing module, and an intervention module; the data acquisition module acquires physiological and psychological data of a subject; the data processing module performs operations on the acquired data, establishes a multi-dimensional state point of the subject according to a mathematical model of the data processing module, matches it with data in the central database, finds a suitable intervention procedure for the subject, and guides the intervention module to carry out intervention; in the intervention process, the data acquisition module continuously acquires the physiological and psychological data of the subject, and the data processing module forms a new multi-dimensional state point according to new data and re-matches it to adjust the intervention procedure. By repeating this cycle, the intervention procedure is continuously adjusted in the intervention process to seek a most suitable intervention solution for the subject, and an optimal intervention effect is achieved.