An airbag (10), a blood pressure measurement apparatus, and a blood pressure measurement method are provided. The blood pressure measurement apparatus includes a cavity (20), a pressing part (30), an air pump (40), a barometric pressure sensor (50), and an airbag (10). The airbag (10) is long-strip-shaped, the airbag (10) has a fixed end (113) and a free end (115), the fixed end (113) is fixed in the cavity (20), a plurality of grooves (101) are distributed on a surface of the airbag (10) along a length extension direction, and the grooves (101) extend along a width direction of the airbag (10). Each groove (101) can divide the airbag (10) into a pressurized area (110) and a non-pressurized area (115) along the length direction when the pressing part (30) movably disposed in the cavity (20) is pressed against the groove (101). The pressurized area (110) and the non-pressurized area (115) isolate air flow from each other, air holes (102) connecting the inside and the outside of the airbag (10) are distributed between every two adjacent grooves (101), and the cavity (20) is configured to accommodate the non-pressurized area (115) of the airbag (10), and when the airbag (10) does not work, accommodate the entire airbag (10). The blood pressure measurement apparatus in this application can adjust ratios of the pressurized area to wrist circumferences of different people. This improves blood pressure signal collection stability and blood pressure measurement accuracy.

The wearable article (200) comprises a sensing component. The electronics module (100) is removably coupled to the wearable article (200). The electronics module comprises a housing and a processor disposed within the housing (101). An interface element (121, 123) interfaces with the sensing component so as to receive signals from the sensing component and provide the same to the processor. A sensor (105) is disposed within the housing (101). The sensor (105) monitors a property of the environment external the electronics module (100) through the housing (101). The housing (101) is constructed such that the sensor (105) has line of sight through the housing (101).

Disclosed are devices and methods for estimating blood pressure, which implement a pulse-transit-time-based blood pressure model that can be calibrated. Some implementations provide reliable and user friendly means for calibrating the blood pressure model using blood pressure perturbation methods and multiple sensors.

A biological information measuring device includes a case section having, in sectional view, a trapezoidal shape including an upper base and a lower base shorter than the upper base, a first leg crossing the upper base and the lower base, and a second leg that is an opposite side of the first leg, a display section disposed on the second leg side, a circuit board housed in the case section, a flexible board configured to electrically connect the circuit board and the display section, and a pulse-wave sensor section disposed on the first leg side and configured to detect a pulse wave signal of a user. An atmospheric pressure sensor configured to detect an atmospheric pressure is housed in the case section. The flexible board is disposed on the lower base side and the atmospheric pressure sensor is disposed not to overlap the pulse wave sensor in plan view.

A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects. Correction actors, fusion algorithms, EIS, and advanced ASICs may be used to implement the foregoing, thereby achieving the goal of improved accuracy and reliability without the need for blood-glucose calibration, and providing a calibration-free, or near calibration-free, sensor.

A device for determining measurement values describing the function of the lungs or the respiratory system of a patient includes a mouthpiece including a tube for introducing respiratory air and for sucking in air, and a gas measurement space. At least one of the following gas sensors is arranged in the gas measurement space: nitrogen monoxide sensor, carbon dioxide sensor, oxygen sensor, carbon monoxide sensor, multi-gas sensor, sensor for volatile organic compounds, alkane sensor, infrared sensor, fiber optic sensor, resistance sensor, and semiconductor sensor. The gas measurement chamber is separated by a closable opening into a first gas measurement chamber and a second gas measurement chamber, the second gas measurement chamber being closed or closable. The closable opening opens a flow path from the first gas measurement chamber into the second gas measurement chamber. A gas sensor is arranged in the second gas measurement chamber.

Disclosed is an electronic device comprising a processor and at least one sensor circuit comprising at least a biometric sensor and a fatigue sensor. The processor may be configured so as to detect biometric data of an external object by means of the biometric sensor, detect fatigue data of the external object by means of the fatigue sensor if the biometric data exceeds a designated second range, and output, by means of a designated external device, a fatigue notification indicating a fatigued state if the fatigue data exceeds a designated third range. Other various embodiments identified in the description are possible.

Described herein are assistant robots that anticipate needs of one or more people (or animals). The assistant robots may recognize a current activity, knowledge of the person's routines, and contextual information. As such, the assistant robots can provide or offer to provide appropriate robotic assistance. The assistant robots can learn users' habits or be provided with knowledge regarding humans in its environment. The assistant robots develop a schedule and contextual understanding of the persons' behavior and needs. The assistant robots may interact, understand, and communicate with people before, during, or after providing assistance. The robot can combine gesture, clothing, emotional aspect, time, pose recognition, action recognition, and other observational data to understand people's medical condition, current activity, and future intended activities and intents.

Provided is a method for controlling a mask apparatus. The method for controlling the mask apparatus includes measuring a current pressure value with respect to a mask by using a pressure sensor, comparing each of a preset atmospheric pressure maximum estimation and a preset and a preset atmospheric pressure minimum estimation to the current pressure value; updating the atmospheric pressure maximum estimation and the atmospheric pressure minimum estimation according to the comparison result, and controlling a voice output of a speaker based on a difference between the updated atmospheric pressure maximum estimation and the updated atmospheric pressure minimum estimation.

Provided is a mask apparatus. The mask apparatus includes a mask body in which a fan module is provided, a face guard coupled to a rear surface of the rear body so as to be in close contact with user's face and having a breathing space therein, a pressure sensor installed in the mask body to measure a pressure of the breathing space, and a controller configured to compare a current pressure value measured by the pressure sensor to a preset atmospheric pressure estimation, update the atmospheric pressure estimation based on a difference between the current pressure value and the atmospheric pressure estimation, and control a rotation speed of the fan module based on a difference between the updated atmospheric pressure estimation and the current pressure value.