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.

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.

A technology for a wearable medical device for monitoring medical parameters. Medical measurement data can be received at the wearable medical device from a medical measurement sensor attached to the wearable medical device or a medical measurement sensor in communication with the wearable medical device. A calibration coefficient can be determined for calibrating the wearable medical device based on the medical measurement data. The wearable medical device can be calibrated based on the calibration coefficient.

A technology for a wearable medical device for monitoring medical parameters. Medical measurement data can be received at the wearable medical device from a medical measurement sensor attached to the wearable medical device or a medical measurement sensor in communication with the wearable medical device. A calibration coefficient can be determined for calibrating the wearable medical device based on the medical measurement data. The wearable medical device can be calibrated based on the calibration coefficient.

The non-invasive blood glucose level measurement device (1) is provided with a pulse waveform measurement unit (2) having FBG sensors (4) for measuring an acceleration pulse wave of a test subject; and a data-processing unit (3) for calculating the blood glucose level of the test subject at the point in time of measurement of the acceleration pulse wave, from waveform information of the measured acceleration pulse wave, on the basis of a predetermined correlation. The correlation is a calibration curve constructed by carrying out a PLS regression analysis, using the blood glucose level measured by a non-invasive blood glucose method as the objective variable, and a simultaneously-measured acceleration pulse wave as the explanatory variable. A non-invasive blood glucose level measurement device capable of measuring blood glucose level at about the same measurement accuracy as an invasive blood glucose measurement device can be achieved thereby.

The non-invasive blood glucose level measurement device (1) is provided with a pulse waveform measurement unit (2) having FBG sensors (4) for measuring an acceleration pulse wave of a test subject; and a data-processing unit (3) for calculating the blood glucose level of the test subject at the point in time of measurement of the acceleration pulse wave, from waveform information of the measured acceleration pulse wave, on the basis of a predetermined correlation. The correlation is a calibration curve constructed by carrying out a PLS regression analysis, using the blood glucose level measured by a non-invasive blood glucose method as the objective variable, and a simultaneously-measured acceleration pulse wave as the explanatory variable. A non-invasive blood glucose level measurement device capable of measuring blood glucose level at about the same measurement accuracy as an invasive blood glucose measurement device can be achieved thereby.

Devices and methods for vascular navigation, assessment and/or diagnosis are disclosed where a location detection system generally includes an elongate body defining a lumen at least partially along a length of the elongate body. One or more sensors are positioned near or at a distal tip of the elongate body and one or more openings are defined along the elongate body in proximity to the one or more sensors. The one or more openings are configured to control a boundary distance between the one or more sensors and a fluid with a parameter of a known initial value when emitted from the one or more openings. A controller is in communication with the one or more sensors and is configured to track a change in the parameter relating to concentration over the one or more sensors and determine a position of the one or more sensors within a body.

A physiological sensor has light emitting sources, each activated by addressing at least one row and at least one column of an electrical grid. The light emitting sources are capable of transmitting light of multiple wavelengths and a detector is responsive to the transmitted light after attenuation by body tissue.

A physiological sensor has light emitting sources, each activated by addressing at least one row and at least one column of an electrical grid. The light emitting sources are capable of transmitting light of multiple wavelengths and a detector is responsive to the transmitted light after attenuation by body tissue.

A method for detecting a failure of at least one component of a continuous analyte monitoring system is disclosed. The continuous analyte monitoring system has a failure detection resistor and an analyte sensor having at least two measurement electrodes. A constant voltage is applied between the two measurement electrodes and a first response signal is measured. A failure detection signal that is distinguishable from the constant voltage and/or from the first response signal in frequency and/or in height is applied to the continuous monitoring system, and a second response signal to the failure detection signal is measured using the failure detection resistor. Information is determined depending on at least one actual property of the component by evaluating the first response signal and the second response signal. A failure is detected if the information deviates from an expected value by more than a predetermined tolerance.