A measuring apparatus includes: a measuring unit to measure a signal value corresponding to a concentration of a specified substance of a first sample; an acquiring unit to acquire a reference value pertaining to the specified substance of a second sample; a calculating unit to calculate a concentration value of the specified substance of the first sample, based on the signal value and the reference value; a timing determination unit to determine timing for calibrating the reference value when satisfying at least one of a first condition that an activity status of a user is a predetermined status and a second condition that a variation in the concentration value of the specified substance of the first sample is equal to or smaller than a threshold value; and an input request unit to request the user to input the reference value at the determined timing.

The device measures glucose concentration in blood without any extraction of blood. The device is a non-invasive method for measuring glucose Radio Frequency and Antenna Circuits and Systems. The device is a wearable device that can non-invasively measure blood glucose levels in an instantaneous manner and continuous manner.

A method of filtering a signal in a continuous analyte monitoring system (CAM) includes applying adaptive filtering to the signal using an adaptive filter to generate a filtered continuous analyte monitoring signal during an analyte monitoring period, and increasing the adaptive filtering applied to the signal as a function of increasing noise on the signal. Other methods, apparatus, continuous analyte monitoring devices, and continuous glucose monitoring devices are also disclosed.

A method of filtering a signal in a continuous analyte monitoring (CAM) system includes applying time-varying filtering to the signal using a time-varying filter to generate a filtered continuous analyte monitoring signal during an analyte monitoring period. Other methods, apparatus, continuous analyte monitoring devices, and continuous glucose monitoring devices are also disclosed.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Example biosensor devices having wake-up batteries and associated methods are disclosed. One example device includes a biosensor that has a first electrode for insertion into a subcutaneous layer beneath a patient's skin, and a second electrode coupled to the first electrode for insertion into the subcutaneous layer, and a first battery to apply a voltage across the first and second electrodes, the first battery at least partially electrically decoupled from the electrodes. The device also includes a second battery having an anode material coupled to the first electrode for insertion into the subcutaneous layer, and a portion of the second electrode. The second battery is activatable upon immersion in an electrolytic fluid. The device also includes a wake-up circuit to receive a signal from the second battery and, in response, to electrically couple the first battery to the first and second electrodes to activate the biosensor.

A sleep apnea syndrome symptom improvement aid 1 includes a sandwiching target 10 sandwiched by front teeth of a patient, a tongue presser 20 extending from the sandwiching target 10 to the vicinity of the soft palate of the patient and including an elastic body configured to press the tongue, and a detector 30 configured to detect at least one of a vital sign or a salivary component of the patient.

Devices, kits, and methods for (a) determining the presence and/or concentration of at least one analyte(s) of interest present in a patient's fluid sample and devices and methods of calibration related thereto, and (b) preventing, mitigating, and/or eliminating biofouling of an indwelling, wearable biosensor are disclosed and/or claimed herein.

The present invention discloses a holder carrying thereon a sensor to measure a physiological signal of an analyte in a biological fluid, wherein the sensor has a signal detection end and a signal output end, and the holder includes an implantation hole being a channel for implanting therethrough the sensor and containing a part of the sensor, and a containing indentation containing the signal output end, wherein the containing indentation has a surrounding wall kept apart from the signal output end to define a space.

The invention relates to a method in particular for continuously determining a current glucose value in a transported fluid, in particular blood, of an organism, having the steps of: a) ascertaining a series of measurements, comprising at least two measurement values separated by time intervals, for a tissue glucose value in the tissue surrounding the transported fluid using a sensor device, b) ascertaining the tissue glucose value using the ascertained series of measurements on the basis of a sensor model, wherein measurement values of the sensor device are assigned to tissue glucose values while taking into consideration measurement noise using a sensor model, c) providing a state transition model, the ascertained tissue glucose values being assigned at least one glucose value in the transported fluid using the state transition model while taking into consideration process noise, and d) ascertaining the current glucose value on the basis of the provided state transition model and the ascertained tissue glucose value. At least step d), in particular steps b)-d), is carried out using at least one moving horizon estimation method.