An electronic device includes a sensor, a memory, and a display, and a processor. The processor is configured to determine bio-information and blood pressure information of a user measured through the sensor, determine reliability of calibration of the blood pressure information, based on at least one of elapsed time of the calibration, the bio-information, and the blood pressure information, determine, based on the reliability of the calibration, whether an event associated with the calibration occurs, and display a user interface (UI) to request another calibration, through the display, when the event is determined to have occurred.

An electronic device may include a display, a photoplethysmogram (PPG) sensor, a wireless communication circuit, a processor operatively connected to the display, the PPG sensor, and the wireless communication circuit, and a memory operatively connected to the processor. The electronic device implements the method, including monitoring blood glucose values of a user using the PPG sensor, displaying a notification prompting the user to measure blood glucose values using an external electronic device based at least partially on the monitored blood glucose values, and receive additional blood glucose values measured by the external electronic device using the wireless communication circuit.

Indirect, oscillometric, digital blood pressure monitoring systems and methods enabling self-calibration to obtain absolute blood pressure values using algorithmic analysis of arterial pressure pulses to establish an oscillometric profile and compensate for intervening effects on digital arterial pressure. Proper algorithmic analysis is dependent upon proper positioning and maintained engagement of a digital cuff on the digit of a user and subsequent hydraulic coupling of the cuff to the arteries within the digit.

Disclosed are a system and method for measuring bio information. The system for measuring bio information may include an external device configured to transmit wireless power from an outside of a body to an inside of the body, an implant device inserted into the body and configured to drive a sensing circuit by using the wireless power transmitted by the external device, measure bio data within the body by using the driven sensing circuit, calculate bio information based on the measured bio data, and transmit the calculated bio information to a smart device or the external device outside the body, and the smart device configured to transmit the bio information to a cloud server or display the bio information or output a warning alarm based on the bio information, when receiving the bio information from the implant device.

A blood pressure (BP) measuring device including a PPG sensor, having one or more light sources and one or more light detectors; a computing unit, including a receiver for receiving PPG signals from the PPG sensor and a sampling circuit, for generating PPG signals samples of the PPG signals, where the device also includes a processor having BP calculation functionality, for processing the PPG signals samples into sequential BP values and a BP output unit, for outputting the calculated BP values, where the sampling circuit is adapted to sample at high sampling rate and provide BP values at a rate higher than 1 BP value per second, where the device may also include an electrogram sensor, having one or more electrodes for outputting tissue electrical activity values, the computing unit is connected to the electrogram sensor.

Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as ischemia, pH changes, temperatures changes, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system replaces some or the entire data stream continually or intermittently including signal estimation methods that particularly address transient signal artifacts. The system is also capable of detecting the severity of the signal artifacts and selectively applying one or more signal estimation algorithm factors responsive to the severity of the signal artifacts, which includes selectively applying distinct sets of parameters to a signal estimation algorithm or selectively applying distinct signal estimation algorithms.

Systems and methods are provided to calibrate an analyte concentration sensor within a biological system, generally using only a signal from the analyte concentration sensor. For example, at a steady state, the analyte concentration value within the biological system is known, and the same may provide a source for calibration. Similar techniques may be employed with slow-moving averages. Variations are disclosed.

In one embodiment, a method for detecting tremors includes generating electromagnetic fields proximate to an individual's body part with a circuit to generate an eddy current density on a surface of the body part, receiving magnetic fields generated by the eddy current with the circuit that change a resonant frequency of the circuit, sensing the resonant frequency as it changes over time, and determining a movement frequency of the body part from the resonant frequency to quantify tremors in the body part.

An analyte sensor system may include a first communication circuit configured to transmit a wireless signal in a first communication mode and a second communication mode, and a processor, wherein the processor determines whether a first condition is satisfied, the first condition relating to the sensor signal or to communication by the first communication circuit, and shifts the system to a second communication mode responsive to the first condition being satisfied.

A System for Measuring Body Kinetics includes a wearable device configured to be wrapped around a joint. A microprocessor is attached to the wearable device. One or more Inertial Measurement Units (IMUs) are connected to the microprocessor and arranged on the wearable device. The IMUs are arranged and configured to provide kinetic data concerning the joint to the microprocessor. A wireless transmission component is connected to the microprocessor. The microprocessor is configured to receive kinetic data from the IMUs, and to transmit the kinetic data by way of the wireless transmission component to a central processor or other device. An algorithm resides within the microprocessor or the central processor or other device, and is configured to determine the position of each IMU from the kinetic data. The wearable device may be constructed of fabric, strap, adhesive tape, or a combination thereof.