A medical device for monitoring biological parameters through an Abreu Brain Thermal Tunnel (ABTT) is provided. By monitoring and analyzing the temperature of the ABTT, it is possible to diagnosis changes in a patient or subject under a variety of conditions, including predicting the course of medical conditions. Furthermore, since the ABTT is predictive, analysis of the ABTT may be used to control mechanisms for safety when an impending medical condition makes such operation hazardous.

A universal respiratory detector for detecting a respiratory gas. The universal respiratory detector may include a plurality of layers with a visual indicator to quickly and reversibly change color to detect a respiratory gas parameter such as carbon dioxide. The color change may be visible from both sides of the detector. In some examples, the respiratory detector may be a biocompatible and conformable sticker for mounting on a person’s face or an oxygen delivery device.

This invention is a programmable, mobile, and reusable point-of-care-testing (POCT) unit for identifying pathogens and their viability state in the respiratory airways realis tempus. The device can be used to test for COVID-19 infections in individuals entering or exiting venues (i.e. schools, restaurants, bars, sporting events, etc.). The POCT unit is capable of performing thousands of tests without maintenance or repair. The POCT unit employs fluoresced spectra analysis (FSA) to uniquely identify the specific bacteria or virus and their relative concentration level based on spectral pattern recognition. Additionally, the POCT unit identifies the living or dead state of bacteria or the active or inactive state of a virus. Automatic pattern recognition of the bacteria or virus spectrum is done using Artificial Intelligence (AI) Deep Learning Neural Networks (DLNN). The DLNN computational process is performed at a remote site linked to the POCT unit by a smartphone or lap-top online connection. The POCT unit is an “at patient” testing instrument for identifying pathogen including SARS-CoV2, SWINE-FLU, H1N1, E-BOLI, Influenza, etc. The POCT unit response time is driven by the SmartPhone connectivity time or the laptop computational ability. The identification of a specific pathogen is determined by the programming of the DLNN and therefore useable for identifying current and future respiratory bacterial or viral infections by adjusting the DLNN software using new training data. The POCT unit has three configurations, namely, a mobile unit connected by Smartphone or PC and a personal home user version connected through Bluetooth to a SmartPhone.

The present disclosure describes a system for metabolic monitoring comprising: collecting exhaled gas from nasal airways of a subject; a mixing chamber for receiving a portion of the exhaled gas; a plurality of sensors for outputting signals related to gas parameters related to inhaled gas and exhaled gas during one or more breaths; and processors configured to determine a flow rate of gas in the interface appliance; determine pressure changes near the mouth of the subject to detect mouth breathing of the subject; determine concentration measurements of O2 and CO2 of the portion of the exhaled gas in the mixing chamber, and discard concentration measurements corresponding to mouth breathing; determine a rate of oxygen consumption VO2 and a carbon dioxide production VCO2 of the subject based on the determined flow rate, the CO2 concentration, and the determined O2 concentration.

A back-mounted support device provides a stable platform for various monitoring and position support devices. The support device comprises a stiffening member configured for placement along a user's spine, the stiffening member extending from a top end to be positioned between the user's shoulder blades to a bottom end to be positioned along the spine and near a waistline of the user. A shoulder attachment system is coupled to the stiffening member to stabilize an upper portion of the stiffening member. A waist attachment system is coupled to the stiffening member to stabilize a lower portion of the stiffening member. The shoulder and waist attachment systems are configured to stabilize the stiffening member along the spine, while minimizing irritating body contact. Monitoring devices may be mounted anywhere on the support device for facilitating monitoring of body parameters.

Provided according to embodiments of the invention are methods of monitoring the direction of blood flow that include processing with a computer photoplethysmography (PPG) signal streams from a sensor array on a body site of the individual to determine the direction and/or velocity of the blood flow at the body site of the individual. In some embodiments, direction of the blood flow at the body site is determined by the phase difference between at least three PPG signal streams from the sensor array, wherein the at least three PPG signal streams are generated from emissions of the at least three emitters.

A wearable device includes a housing with a window and an electronic module supported by the housing. The electronic module includes a photoplethysmography sensor, a motion sensor, and a signal processor that processes signals from the motion sensor and signals from the photoplethysmography sensor. The signal processor is configured to remove frequency bands from the photoplethysmography sensor signals that are outside of a range of interest using a band-pass filter to produce pre-conditioned signals, and to further process the pre-conditioned signals using the motion sensor signals to reduce motion artifacts from footsteps during subject running. The device includes non-air light transmissive material in optical communication with the photoplethysmography sensor and the window that serves as a light guide for the photoplethysmography sensor. The window optically exposes the photoplethysmography sensor to a body of a subject wearing the device via the non-air light transmissive material.

An obstructive sleep apnea detection device including an optical engagement surface adapted to engage a user's skin; a light source adapted to emit light from the optical engagement surface; a photodetector adapted to detect light at the optical engagement surface and to generate a detected light signal; a position sensor adapted to determine patient sleeping position; a controller adapted to determine and record in memory blood oxygen saturation values computed from the detected light signal and user position information from the position sensor; and a housing supporting the optical engagement surface, the photodetector, the light source, the position sensor, and the controller.

This inflatable balloon includes a balloon body, an inflation opening for the introduction of a fluid into the balloon body so as to inflate it under pressure, and at least one device for measuring a biological quantity of cavity tissues and/or of biological fluids present in this cavity. The measuring device includes an external sensor attached on an external face of the wall of the balloon body and adapted to supply an electrical measurement signal sensitive to the measured biological quantity, and an internal module located inside the balloon body and including a processing device adapted to process the electrical measurement signal in order to provide at least one measurement of the biological quantity.

A method of manufacturing a patient interface for sealed delivery of a flow of air at a continuously positive pressure with respect to ambient air pressure to an entrance to the patient's airways includes collecting anthropometric data of a patient's face. Anticipated considerations are identified from the collected anthropometric data during use of the patient interface. The collected anthropometric data is processed to provide a transformed data set based on the anticipated considerations, the transformed data set corresponding to at least one customised patient interface component. At least one patient interface component is modelled based on the transformed data set.