Analyte monitoring systems, devices, and methods associated with analyte monitoring devices, and devices incorporating the same are provided. Various graphical user interfaces (GUI) and navigation flows are provided for performing various features, activities, functions, etc., associated with the analyte monitoring device or system. Intuitive navigation is provided to enhance the interpretation of analyte measurements.

Systems and methods of use for continuous analyte measurement of a host's vascular system are provided. In some embodiments, a continuous glucose measurement system includes a vascular access device, a sensor and sensor electronics, the system being configured for insertion into communication with a host's circulatory system.

Embodiments of this disclosure are directed to a wearable device having a housing, a display, and a sensor system. The display is at least partially surrounded by the housing. The sensor system is housed at least partially in the housing. The sensor system includes a first sensor, a second sensor, and a controller. The first sensor is configured to contact a body part of a user and generate a first signal. The second sensor is configured to sense a mechanical wave in an ambient environment of the wearable device and generate a second signal. The controller is configured to generate a resultant signal by removing noise from the first signal using the second signal, and determine a health parameter of the user from the resultant signal.

An integrated system and associated methodology allow performing at-home spirometry tests using smart devices which leverage the built-in millimeter-wave (mmWave) technology. Implementations leverage deep learning with some embodiments including a combination of mmWave signal processing and CNN-LSTM (Convolutional Neural Network-Long Short-Term Memory Network) architecture. Smartphone devices are transformed into reliable at-home spirometers by having a user hold a device in front of their mouth, inhale their full lung volume, and forcibly exhale until the entire volume is expelled, as in typical spirometry tests. Airflow on the device surface creates tiny vibrations which directly affect the phase of the reflected mmWave signal from nearby objects. Stronger airflow yields larger vibration and higher phase change. The technology analyzes tiny vibrations created by airflow on the device surface and combines wireless signal processing with deep learning. The resulting low-cost, contactless method of lung function monitoring is not affected by noise and motion and provides all key spirometry indicators.

An oxygen-sensing assembly for attachment to a urinary catheter may include a housing having a flow pathway extending between an inlet end and an outlet end thereof, an oxygen sensor in operable communication with the flow pathway of the housing, the oxygen sensor configured to detect oxygen levels of a fluid flowing through the flow pathway and a flowrate sensor configured to detect a flowrate of the fluid flowing through the flow pathway. A risk of acute kidney injury may be determined based on the mass flowrate of oxygen through the flow pathway, determined based on the detected oxygen levels and the flowrate of the fluid through the flow pathway. Related catheter assemblies and methods are also disclosed.

Electrode array for monitoring of physiological parameters and devices including or utilizing same, the electrode array including an active electrode configured to provide an electrical signal and at least two inactive electrodes configured to collect the electrical signal transferred from the active electrode, wherein each of the at least two inactive electrodes are positioned at a different predetermined distance from the active electrode.

The invention relates to a method for recommending cosmetics, skin care products and/or dermatological products that are adapted to the condition of the skin.

The present invention relates to a device (1) for detecting parameters of a user (3), provided with a wearable support (2) having a first surface (2a) configured for contacting a body surface of the user (3); the support (2) has a second surface (2b) opposed to the first surface (2a) and comprises a first temperature sensor (10) configured for emitting a signal representative of a temperature at the first surface (2a) of the support (2), and a second temperature sensor (11) configured for emitting a signal representative of a temperature at the second surface (2b) of the support (2). A control unit (19) is configured for receiving as an input the signals emitted by the first and second temperature sensors (10, 11) and for estimating a value representative of an internal body temperature of the user (3) as a function of both the signals emitted by the first and the second temperature sensors (10, 11) and/or estimating a value representative of a room temperature as a function of both the signals emitted by the first and second temperature sensors (10, 11).

There is provided a respiratory monitoring device (100) comprising one or more respiratory-related sensors (110) and a first circuit board comprising a controller. The one or more respiratory-related sensors are separated from and in communication the first circuit board. There is also provided a respiratory monitoring device comprising a controller, one or more respiratory-related sensor and an input means (114). The input means is arranged to trigger the controller to suspend sensing by at least one of the one or more respiratory-related sensors for one or more predetermined time periods. There is also provided a respiratory monitoring device having a housing comprising a front surface (102) at which one or more respiratory-related sensors are arranged, and a back surface (120), wherein the front surface is arranged to indicate an intended orientation to a user of the respiratory monitoring device.

This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.