A conventional flow tube for a metabolic cart is usually a straight length of pipe whose inner diameter is fixed by the respiratory burden imposed by the flow tube on the user, with a smaller diameter imposing a higher respiratory burden. The ratio of the straight flow tube's length to diameter is fixed by fluid dynamics, so increasing the flow tube's diameter causes the flow tube's length to increase. As the flow tube gets longer, it exerts more torque on the user's neck and jaw, creating discomfort. Reducing the flow tube's length causes an undesired increase in the respiratory burden but increasing the flow tube's diameter to reduce the respiratory burden makes the flow tube less comfortable, making the flow tube unconformable, hard to breathe through, or both. Bending the flow tube, e.g., in an L shape, makes it possible to increase the flow tube's propagation length without increasing the flow tube's lever arm length.

A system for remote transdermal alcohol monitoring includes and/or interfaces with a transdermal alcohol sensing device. Additionally or alternatively, the system can include and/or interface with any or all of: a user device; a supplementary alcohol sensing device; a set of supplementary sensors; a computing subsystem; a user interface; and/or any other components. A method for remote transdermal alcohol monitoring includes: receiving a set of inputs; determining a set of outputs; and triggering an action based on the set of outputs.

Aspects relate to systems and methods for individualized content media delivery. An exemplary system includes a sensor configured to detect a biofeedback signal as a function of a biofeedback of a user, a display configured to present content to the user, and a computing device configured to control an environmental parameter for an environment surrounding the user as a function of the biofeedback signal, wherein controlling the environmental parameter additionally includes generating an environmental machine-learning model as a function of an environmental machine-learning algorithm, training the environmental machine-learning model as a function of an environmental training set, wherein the environmental training set comprises biofeedback inputs correlated to environmental parameter outputs and generating the environmental parameter as a function of the biofeedback signal and the environmental machine-learning model.

An adapter for use with spectrometers for the analysis of gases, comprising a housing which comprises a base body, an accommodator for accommodation of a spectrometer, a housing entrance and a housing exit, the housing entrance comprising an inlet opening and the housing exit comprising an outlet opening, a passage channel being arranged between the inlet opening and the outlet opening, and the base body being arranged between the housing entrance and the housing exit. The base body has at least two openings which are arranged on two sides of the passage channel on opposite sides.

Techniques for detecting cannabinoid, opioid, and virus aerosols in an exhaled breath are provided. An example method of identifying a virus-containing aerosol in exhaled breath includes capturing a breath input in an aerosol filter cartridge, disposing the aerosol filter cartridge in an optical path in a spectroscopy system, detecting one or more infrared spectral features of the breath input with the spectroscopy system, and identifying the virus-containing aerosol based on the one or more infrared spectral features.

The invention disclosed herein concerns screening and early detection of a variety of disease conditions in seemingly healthy subjects, enabling early intervention and treatment.

Provided are a diagnostic system and methods for detecting the presence or absence of one or more targets that represent virus infection, inflammatory diseases and/or respiratory disorders by optically and noninvasively observing changing in color of the diagnostic system upon binding of the antigen of interest. Exemplary diagnostic systems and methods include detection of SARS-CoV-2 virus S protein or receptor of advanced glycation end products (RAGE) for diagnosis of COVID-19 infection or inflammatory/respiratory diseases.

Disclosed is a method for collecting different selected exhaled breath samples, or fractions thereof, on a single sample capture device, the method comprising the steps of: (a) collecting a first exhaled breath sample by contacting the sample with a capture device comprising an adsorbent material; (b) collecting a second exhaled breath sample by contacting the second sample with said capture device, wherein the first and second exhaled breath samples are caused to be captured on the capture device in a spatially separated manner.

Augmented reality systems and methods for user health analysis. Methods for user health analysis may include collecting data for an initial prediction model and continuing to collect additional data based on one or more data criteria. The methods may further include updating the initial prediction model based on the additional data to produce a revised prediction model or causing an intervention to occur based on the additional data. The data may be collected by a display system including one or more sensors configured to collect user-specific data and a display device configured to present virtual content to a user. The display device may be configured to output light with variable wavefront divergence.

Hypoglycemia and/or hyperglycemia detector (100), including an enclosure (110), one or more gas sensors (132) and one or more processors (134). The enclosure (100) includes a bottom surface (112) configured for positioning against skin (10), for example with an adhesive patch (20). The sensors (132) are positioned within the enclosure (110) and configured for detecting gas emissions from the skin (10) for providing one or more measurement signals. The processors (134) are configured for detecting an indication of hypoglycemia and/or an indication of hyperglycemia from the one or more measurement signals for providing an alarm signal when the indication of hypoglycemia and/or the indication hyperglycemia is detected.