An intelligent temperature controller for shoes includes a master chip, a heating unit, a temperature detecting unit detecting a current temperature of the shoes, a power source and a charging circuit connected with the power source, wherein the master chip is respectively and electrically connected with the heating unit, the temperature detecting unit and the power source, wherein the master chip controls the power source to supply power to the heating unit, wherein the master chip is communicated with an electric device to control the temperature of the shoes and provides operating states feedback to the electric device.

A method for distinguishing a foot motion of a user by placing a pedometer at a foot of a user includes the steps of collecting an accelerating data from an accelerometer in a real time manner; filtering the accelerating data via a smoothing filter and a Kalman filter; generating a step data that represents number of steps taken by the user in response to the accelerating data through the smoothing filter; generating an activity data that represents a foot motion of the user in response to the accelerating data through the Kalman filter; and combining the step data and the activity data to form a resulted data that distinguishes the foot motion with step count of the user.

A dependency-based startup method in a multi-modality medical processing system that includes receiving initialization information about a plurality of executable components to be started, the plurality of executable components including an executable modality component configured to communicate with a medical device communicatively coupled to the multi-modality medical processing system. The method also includes receiving dependency information about the executable modality component, the dependency information identifying one or more of the executable components upon which the executable modality component depends and transforming the initialization information and the dependency information into a dependency map that represents the dependencies between the plurality of executable components. Further, the method includes deriving a start order for the plurality of executable components based on the dependency map and starting the plurality of executable components in the multi-modality medical processing system according to the start order.

Systems and methods are provided for continuously monitoring a user to determine when cardiovascular events are likely occurring and to responsively provide a prompt to a user to engage in additional physiological assessment of the putative cardiovascular event. Additional assessment can include the user engaging an additional sensor to provide signals that are more accurate, lower noise, or otherwise improved relative to a continuously-monitoring sensor used to initially detect the cardiovascular event. Detection of cardiovascular events includes using a cardiovascular classifier to determine, based on the output of such a continuously-monitoring sensor, whether the event is likely occurring. Such a classifier can be received from a cloud computing service or other remote system based on sensor outputs sent to such a system. Use of such a classifier can facilitate reduced false-positive detection of cardiovascular events based on the continuously-monitoring sensor, and thus reduce extraneous prompts to the user.

An electronic device that can be worn on a user's body and an operating method thereof. An electrode for charging and measuring is included in a front side of the electronic device. The electronic device includes a battery, a charging circuit for charging the battery, a bio-sensor, and a processor. The processor is configured to determine whether the battery is being charged through the charging circuit. If the battery is not being charged, the processor is configured to acquire biometric information by using a first method through the bio-sensor, and if the battery is being charged, the processor is configured to acquire the biometric information by using a second method through the bio-sensor.

A smart body temperature monitoring system, including a thermometer that has a body temperature detection module, a CPU connected with the body temperature detection module, and a wireless communication module connected with the CPU; a cloud server having a cloud database that stores global records of one or more persons including global identification information and global body temperature data of the person; and a mobile terminal, through which the global records of the cloud database stored in the cloud server are accessed and checked.

Apparatuses and methods for displaying a blood pressure monitoring instrument reading along with inaccuracy values that vary over apparatus life and according to current operating conditions are disclosed. These inaccuracy values account for variability under different operating environments, over time and number of device measurement cycles, and across the range of possible instrument reading conditions. Determination of inaccuracy values may be based both on apparatus history and measurement under the current operating condition. Methods can further include informing a user of confidence in the instrument's current measurements based on the instrument's measurements and inaccuracy.

A method of exhaled gas analysis and a universal portable breath content analyzer for carrying out the method based on a principle of measuring the content of the exhale breath components under constant pressure maintained in the sealed housing of the analyzer via the use of a pressure sensor connected to central processing unit that controls operation of the air evacuation valve and a probe admission air valve to maintain a constant pressure regime.

Generally, methods, devices, and systems related to analyte monitoring and data logging are providede.g., as related to in vivo analyte monitoring devices and systems. In some aspects, methods, devices, and systems are provided that relate to enable related settings based on an expected use of an in vivo positioned sensor; logging or otherwise recording analyte levels acquired or derivede.g., sample analyte levels more frequently than they are logged or otherwise recorded in memory; dynamically adjust the data logging frequency; randomly determine times of acquiring or storing analyte levels from the in-vivo positioned analyte sensors; and enable recording related settings when the system is operable.

Generally, methods, devices, and systems related to analyte monitoring and data logging are providede.g., as related to in vivo analyte monitoring devices and systems. In some aspects, methods, devices, and systems are provided that relate to enable related settings based on an expected use of an in vivo positioned sensor; logging or otherwise recording analyte levels acquired or derivede.g., sample analyte levels more frequently than they are logged or otherwise recorded in memory; dynamically adjust the data logging frequency; randomly determine times of acquiring or storing analyte levels from the in-vivo positioned analyte sensors; and enable recording related settings when the system is operable.