Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

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 flexible, multi-layered device for automatically sensing sweat biomarkers, storing and transmitting sensed data via wireless network to a computing device having software applications operable thereon for receiving and analyzing the sensed data. The device is functional in extreme conditions, including extremely hot temperatures, extremely cold temperatures, high salinity, high altitude, extreme pHs, and/or extreme pressures.

The disclosed invention includes a biofluid sensing device capable of passively or actively regulating an operating temperature of one or more sensors. The device includes at least one biofluid sensor in a thermally isolated environment and at least one temperature sensor to measure sensor environment temperature. Some embodiments include at least one thermal adjustor to regulate the sensor temperature by actively regulating the sensor environment temperature in response to a signal from the temperature sensor. The invention also includes a method of regulating temperature for a biofluid sensing device having a sensor for measuring an analyte in the biofluid. The method includes measuring a biofluid sensor temperature, regulating the sensor temperature to within a selected range of the measured sensor temperature, and maintaining sensor temperature within the selected range of the measured temperature throughout device operation. In some embodiments, the measured temperature is a calibration temperature.

A sweat sampling and sensing device for sensing sweat on skin includes an analyte-specific sensor for sensing a first analyte in sweat; a sweat collector placed on or adjacent to skin with a plurality of pores or pathways for entry of sweat from skin into said sweat collector, said sweat collector at least partly defining a sweat volume between said analyte-specific sensor and the skin; and a pressure element capable of holding said sweat collector against the skin with a pressure and reducing the sweat volume between said sweat collector and the skin.

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.

Analyte sensors and methods of manufacturing same are provided, including analyte sensors comprising multi-axis flexibility. For example, a multi-electrode sensor system 800 comprising two working electrodes and at least one reference/counter electrode is provided. The sensor system 800 comprises first and second elongated bodies E1, E2, each formed of a conductive core or of a core with a conductive layer deposited thereon, insulating layer 810 that separates the conductive layer 820 from the elongated body, a membrane layer deposited on top of the elongated bodies E1, E2, and working electrodes 802, 802 formed by removing portions of the conductive layer 820 and the insulating layer 810, thereby exposing electroactive surface of the elongated bodies E1, E2.

Provided is a method of controlling and adjusting at least one body feature of a subject using electronic mobile devices worked by a person in need thereof and measuring devices interconnected thereto.

Disclosed herein are a system and a method for evaluating mental disease treatment contents using complex biometric information, which can provide contents of good quality for recovery and treatment of a psychiatric patient, can develop customized treatment contents, and provide objective and logical evaluation information through the treatment contents.

A system includes chemical marker, verification, and third sensors. The chemical marker sensor is configured to detect one or more markers of a therapeutic agent in sweat vapor. The verification sensor is configured to detect whether the system is less than a threshold distance from skin. The third sensor is configured to detect a manifestation of an expected effect of the therapeutic agent on the heart rate of the user. The processor is communicatively coupled to the sensors and is configured to calculate a confidence level indicative of whether the user has taken the therapeutic agent based on the chemical marker sensor detecting the one or more markers in the sweat vapor, the verification sensor detecting that the system is less than the threshold distance from skin, and the third sensor detecting the manifestation of the expected effect of the therapeutic agent on the heart rate of the user.