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 system, device and method for automatically and remotely acquiring sensor data from a wearable patch mounted on a patient. An example device implemented as a wearable patch includes a sensor assembly comprising a plurality of sensors configured to detect a corresponding plurality of sensory modalities and generate electrical signals representing the sensory modalities. A signal converter receives the electrical signals from the plurality of sensors and converts the signals to sensor data signals comprising a data representation of at least one of the electrical signals. A communications interface communicates the sensor data signals to a sensor data processing system.

An oral appliance includes: (1) a salivary sensor module including multiple sensors responsive to levels of different salivary analytes, and configured to generate output signals corresponding to the levels of the different salivary analytes; (2) a wireless communication module; and (3) a micro-controller connected to the salivary sensor module and the wireless communication module, and configured to derive the levels of the different salivary analytes from the output signals and direct the wireless communication module to convey the levels of the different salivary analytes to an external device.

Techniques are described for calculating athletic performance during an athletic activity. In one embodiment, a processor of a sensing device comprising one or more sensors measures an activity parameter of a user. The processor analyzes the activity parameter to determine whether the activity parameter meets a predetermined criteria. When the activity parameter meets the predetermined criteria, the processor arms the one or more sensors. The arming comprises activating the one or more sensors to collect exercise data for a known exercise activity performed by the user. In another embodiment, the processor of the sensing device comprising one or more sensors arms the one or more sensors to collect data when the activity parameter of the user meets a predetermined criteria. After arming the one or more sensors, the processor collects exercise data for a known exercise activity performed by the user.

A sphygmomanometer has a nocturnal blood pressure measurement mode in which blood pressure measurement automatically starts according to a predetermined schedule. The sphygmomanometer includes a single operation switch for inputting an instruction to suspend or to recover the nocturnal blood pressure measurement mode, a suspension processing unit to perform a process for transitioning to a measurement suspension state in which blood pressure measurement does not start even when a set time arrives, when the single operation switch is operated at a first time, in the nocturnal blood pressure measurement mode, and a recovery processing unit to perform a process for recovering to the nocturnal blood pressure measurement mode, under condition that the single operation switch is operated at a second time or after a lapse of a predetermined time from a clock time when the single operation switch is operated at the first time, in the measurement suspension state.

Methods, systems, and devices for illness detection are described. A method may include identifying baseline temperature data associated with a user based on temperature data collected from the user via a wearable device throughout a first time interval. The method may include receiving additional temperature data collected via the wearable device throughout a second time interval, and inputting the baseline temperature data and the additional temperature data into a classifier. The method may include identifying a satisfaction of deviation criteria between the baseline temperature data and the additional temperature data, and causing a graphical user interface (GUI) of a user device to display an illness risk metric for the user based on the satisfaction of the deviation criteria, the illness risk metric associated with a relative probability that the user will transition from a healthy state to an unhealthy state.

A data acquisition device includes an integrated circuit and an information processor. The integrated circuit has a first terminal for receiving a master/slave switching signal upon start of data acquisition, an ADC for converting analog input data to digital data, and an output terminal for outputting the digital data. The information processor generates the master/slave switching signal, and has a second terminal connected to the first terminal and for outputting the master/slave switching signal, and an input terminal connected to the output terminal and for receiving the digital data. The information processor operates in the master mode when the integrated circuit operates in the slave mode. The information processor operates in the slave when the integrated circuit operates in the master mode. The integrated circuit outputs the digital data when operating in the master mode according to the master/slave switching signal.

Various analyte sensor systems for controlling activation of analyte sensor electronics circuitry are provided. Related methods for controlling analyte sensor electronics circuitry are also provided. Various analyte sensor systems for monitoring an analyte in a host are also provided. Various circuits for controlling activation of an analyte sensor system are also provided. Analyte sensor systems utilizing a state machine having a plurality of states for collecting a plurality of digital counts and waking a controller responsive to a wake up signal are also provided. Related methods for such analyte sensor systems are also provided. Systems for controlling activation of analyte sensor electronics circuitry utilizing a magnetic sensor are further provided. One or more display device configured to display one or more analyte concentration values are also provided.

This disclosure provides devices and methods for estimating blood pressure using intelligent oscillometric blood pressure measurement techniques, where some implementations of the devices include multiple biometric sensors and/or can obtain sensor data from a connected device. In some implementations, the devices automatically determine an identity of a user. In some implementations, the devices automatically provide instructions to users to take blood pressure measurements. In some implementations, the devices applied intelligent inflation techniques to improve user comfort and speed up measurements.

Generally, methods, devices, and systems related to analyte monitoring and data logging are provided—e.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 derived—e.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.