Systems, apparatus, and methods related to modeling, monitoring, and/or managing metabolism of a subject include measuring a respiratory quotient (RQ) level in a subject and/or optimizing and executing a nonlinear feedback model to model energy substrate utilization in the subject based on at least one of a macronutrient composition and caloric value of food consumed by the subject, an intensity and duration of activity by the subject, a rate and maximum capacity of glycogen storage in the subject, a rate and maximum capacity of de novo lipogenesis in the subject, a quality and duration of sleep by the subject, and/or an RQ level in the subject.

A method includes receiving, by an electronic device, sensor data during a spirometry test of a user, the sensor data comprising audio data of the user, image data of a face of the user, and distance data of a distance from the face of the user. The method also includes obtaining, by the electronic device, at least one measured parameter associated with the spirometry test that is determined using at least one of the audio data, the image data, or the distance data, wherein the at least one measured parameter is correlated with an amount of air volume exchange or an amount of exhalation force by the user during the spirometry test. The method further includes providing, by the electronic device, real time feedback during the spirometry test, the real time feedback based on the at least one measured parameter, the real time feedback indicating whether or not the user is performing the spirometry test correctly.

A method includes receiving, by an electronic device, sensor data during a spirometry test of a user, the sensor data comprising audio data of the user and distance data of a distance from a face of the user to the electronic device. The method also includes obtaining, by the electronic device, an amount of air volume exchange and at least one pulmonary health parameter that are determined based on the audio data and the distance data. The method also includes presenting an indicator on a display of the electronic device for use by the user or a medical provider, the indicator representing the amount of air volume exchange.

A ventilation trigger detection method performed by a ventilation device is disclosed. The method includes monitoring a ventilation parameter during mechanical ventilation for a user, the ventilation parameter including at least one of an airway pressure and an airway flow, and determining patient-ventilator synchrony during the ventilation according to a change in the ventilation parameter. Furthermore, this disclosure also relates to a ventilation trigger detection apparatus, a ventilation device, and a storage medium.

The present disclosure relates to a throwaway device to check and measure respiratory flow rates. The device 100 incorporates a first deflector 104, a blade 108 and a second deflector 106 enclosed inside a housing 102. The first deflector 104 configured at a front end of the housing 102 to facilitate inflow of air inside the housing 102. The second deflector 106 is configured at the rear end of the housing 102 to facilitate outflow of air. The blade 108 is having two conical ends 110 at two opposite edges. The blade 108 positioned between the first deflector 104 and the second deflector 106 which is configured to rotate about a rotational axis A-A′. A mouth piece 112 is removable attached at the front end of the housing 102. The blade, housing and the two deflectors are made of different plastic materials using multiple sessions of injection molding process.

A method for analyzing forced expiration is disclosed. The method comprises receiving forced expiration flow-volume data collected by a spirometer; fitting a second order differential equation in volume to the forced expiration flow-volume data; and determining a parameter representative of airway resistance in dependence upon a coefficient of a first order term in the differential equation.

An acoustic device for spirometric measurement is provided. The acoustic device includes an inlet conduit configured to receive an airflow and a central cavity in communication with the inlet conduit. The central cavity includes a channel configured to guide at least a portion of the airflow into a vorticial flow about a central axis of the central cavity. The acoustic device further includes an outlet conduit configured to receive at least a portion of the vorticial flow and transduce at least a portion of kinetic energy of the vorticial flow into an acoustic emission. A frequency of the acoustic emission varies based on a rate of the airflow provided to the inlet conduit. In addition, the acoustic device includes a flow controller configured to modify at least a portion of the airflow provided to the inlet conduit.

Automated devices provide methodologies for determining sleep conditions, which may be in conjunction with treatment of sleep disordered breathing by a pressure treatment apparatus such as a continuous positive airway pressure device. Based on a measure of respiratory airflow, respiratory characteristics are extracted to detect arousal conditions, sleep stability, sleep states and/or perform sleep quality assessments. The methodologies may be implemented for data analysis by a specific purpose computer, a monitoring device that measures a respiratory airflow and/or a respiratory treatment apparatus that provides a respiratory treatment regime based on the detected conditions.

The invention relates to a portable, handheld spirometer (1) comprising a MEMS-based thermal fluid flow sensor (13, 13.1, 13.2) for generating a signal in response to a fluid flow generated during inhalation or exhalation; and a microcontroller (14) for calculating the fluid flow from the signal generated by the flow sensor (13, 13.1, 13.2). The spirometer (1) may be connected to other devices, such as a smartphone or a personal computer or any other computing unit which is adapted to collect, store, analyse, exchange and/or display data. The invention further describes the use of the spirometer (1) in measuring a user's lung performance and/or monitoring it over time. Furthermore, the spirometer (1) may be provided in a system together with an air quality measurement device for determining the air quality at a location of interest; and a computing unit for collecting, analysing and correlating the user's lung performance data obtained from the spirometer (1) with the air quality data, and optionally geolocalisation data of said location.

Systems, apparatus, and methods related to modeling, monitoring, and/or managing metabolism of a subject include measuring a respiratory quotient (RQ) level in a subject and/or optimizing and executing a nonlinear feedback model to model energy substrate utilization in the subject based on at least one of a macronutrient composition and caloric value of food consumed by the subject, an intensity and duration of activity by the subject, a rate and maximum capacity of glycogen storage in the subject, a rate and maximum capacity of de novo lipogenesis in the subject, a quality and duration of sleep by the subject, and/or an RQ level in the subject.