A dynamic sensor interface is provided. Such a dynamic sensor interface may include a reaction portion that includes a biological-based or chemical-based ink. Such ink reacts in response to a molecule of interest. The dynamic sensor interface may further include an electrode that detects the reaction by the ink in response to the molecule of interest, as well as a signal interface that emits a signal based on the electrode detecting the reaction. Such a dynamic sensor interface allows for information to be detected and communicated through and between both bio-chemical and electronic systems.

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.

Systems and methods for integrated automated sports data collection and analytics are disclosed. Different types of data, for example but not limited, location data, movement data, impact data and biometric data for individual players are collected via wearable sensors in real time during a sports activity and transmitted to a cloud-based platform together with other sports data, including video, timing, scoring, statistics, and events with time code. The cloud-based platform is operable to aggregate, correlate, organize and synchronize various data related to the sports activity; store, query and retrieve various live data and historical data in and from a proprietary database; and perform analytics and provide intelligence to different parties involved in a sports activity, including coaches, trainers, medical staff, live announcers, broadcasters, displays, viewers, and fans and etc. These different parties may subscribe to licensed access to the cloud-based platform for tailored data feeds with real time push.

Disclosed is a postprandial glucose-measuring device for preventing the development of or reversing T2D. Included are methods for using the device as well as better use for invasive and noninvasive glucose meters. Further disclosed are novel exercise-sensitizing compositions useful for managing blood glucose levels in Type-2 diabetics with minimal risk of hypoglycemia. The disclosed glucose meters allow a user to also measure exercise and meal size—all with relatively instant feedback—more effectively than having to track the complexity posed by labels, glycemic index and calories. Also disclosed is integration of glucose-measuring devices with smartphones and health monitoring technology to make possible safe and effective interpretation of postprandial glucose readings by a patient to control or reverse Type-2 diabetes.

Embodiments are related to a headset integrated into a healthcare platform. The headset comprises one or more sensors embedded into a frame of the headset, a controller coupled to the one or more sensors, and a transceiver coupled to the controller. The one or more sensors capture health information data for a user wearing the headset. The controller pre-processes at least a portion of the captured health information data to generate a pre-processed portion of the health information data. The transceiver communicates the health information data and the pre-processed portion of health information data to an intermediate device communicatively coupled to the headset. The intermediate device processes at least one of the health information data and the pre-processed portion of health information data to generate processed health information data for a health-related diagnostic of the user.

According to an aspect, there is provided switch circuitry (1) for controlling power supplied to a fluid monitoring unit (4). The switch circuitry (1) comprises: a sensor (2) configured to detect fluid derived from the skin of a user and to generate a detection signal in response to detection of fluid; and a controller (3) configured to receive the detection signal, to generate a wake-up signal in accordance with the detection signal, and to supply the wake-up signal to a switch (6) controlling the power supply to the fluid monitoring unit (4) so as to activate the switch (6) and wake the fluid monitoring unit (4), wherein, optionally, the fluid is sweat. According to another aspect, there is provided method of controlling power to a fluid monitoring unit.

Skin-mounted or epidermal devices and methods for monitoring biofluids are disclosed. The devices comprise a functional substrate that is mechanically and/or thermally matched to skin to provide durable adhesion for long-term wear. The functional substrates allow for the microfluidic transport of biofluids from the skin to one or more sensors that measure and/or detect biological parameters, such as rate of biofluid production, biofluid volume, and biomarker concentration. Sensors within the devices may be mechanical, electrical or chemical, with colorimetric indicators being observable by the naked eye or with a portable electronic device (e.g., a smartphone). By monitoring changes in an individual's health state over time, the disclosed devices may provide early indications of abnormal conditions.

Provided is a sensor unit (104) for detecting an analyte (128) in an aqueous medium. The sensor unit comprises a surface (124) for receiving the aqueous medium thereon. Capture species (126) immobilized on the surface reversibly bind the analyte. A detector (130) detects the analyte when the analyte is bound to the capture species. The sensor unit further comprises an electrolysis assembly (132). The electrolysis assembly comprises a plurality of spatially separated electrically conductive areas (134) on the surface, and a power supply (136) for supplying a voltage across at least two of the electrically conductive areas. The voltage is sufficient to electrolyse the aqueous medium received on the surface. Further provided is a body fluid monitoring device (101) comprising the sensor unit, and a method for detecting an analyte.

A method and system for improving real-time audio, video, and sensor detection and analysis is provided. The method includes retrieving audio/video data, biometric data, and environmental data associated with associated with a user at a location. The audio/video data, biometric data, and environmental data are analyzed and based on the analysis, a current biometric state of the user is determined. The current biometric state of the user is compared to a baseline biometric state of the user and it is determined that the current biometric state comprises an elevated biometric state with respect to the baseline biometric state of the user. Self-learning software code for executing a machine based interaction modification event associated with reducing the elevated biometric state of the user is generated and the machine based interaction modification event is executed.

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.