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.

The present disclosure relates to a respiratory system for exercising and analysing respiration of a subject comprising: a breathing unit comprising: a mouthpiece connected to: at least one inhalation air way, at least one exhalation air way, and an electronic sensor unit comprising at least one pressure gauge for measuring air pressure in the mouthpiece, and a processing unit for collecting/storing and/or transmitting air pressure data.

The present disclosure relates to a respiratory system for exercising and analysing respiration of a subject comprising: a breathing unit comprising: a mouthpiece connected to: at least one inhalation air way, at least one exhalation air way, and an electronic sensor unit comprising at least one pressure gauge for measuring air pressure in the mouthpiece, and a processing unit for collecting/storing and/or transmitting air pressure data.

The present invention relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient and assigning one or more visual indicators to at least a portion of a graphic based on the calculated changes in depth and/or based on a tidal volume signal generated for the patient. In some embodiments, the systems, methods, and/or computer readable media can display the visual indicators overlaid onto at least the portion in real-time and/or can display the tidal volume signal in real-time. The systems, methods, and/or computer readable media can trigger an alert and/or an alarm when a breathing abnormality is detected.

The present invention relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient and assigning one or more visual indicators to at least a portion of a graphic based on the calculated changes in depth and/or based on a tidal volume signal generated for the patient. In some embodiments, the systems, methods, and/or computer readable media can display the visual indicators overlaid onto at least the portion in real-time and/or can display the tidal volume signal in real-time. The systems, methods, and/or computer readable media can trigger an alert and/or an alarm when a breathing abnormality is detected.

Active auscultation may be used to determine organ (e.g., lung or heart) characteristics of users. An acoustic or piezo-electric signal (e.g., a pulse, a tone, and/or a broadband pulse) may be projected into an animal (typically human) body or thorax. The signal interacts with the body, or lungs, and in some cases may induce resonance within the body/lungs. A resultant signal may be emitted from the body which may be analyzed to determine, for example, a lung's resonant frequency or frequencies and/or how the sound is otherwise absorbed, reflected, or modified by the body. This information may be indicative of lung characteristics such as lung capacity, a volume of air trapped in the lungs, and/or the presence of COPD.

Active auscultation may be used to determine organ (e.g., lung or heart) characteristics of users. An acoustic or piezo-electric signal (e.g., a pulse, a tone, and/or a broadband pulse) may be projected into an animal (typically human) body or thorax. The signal interacts with the body, or lungs, and in some cases may induce resonance within the body/lungs. A resultant signal may be emitted from the body which may be analyzed to determine, for example, a lung's resonant frequency or frequencies and/or how the sound is otherwise absorbed, reflected, or modified by the body. This information may be indicative of lung characteristics such as lung capacity, a volume of air trapped in the lungs, and/or the presence of COPD.

A diagnostic tool and methods of using the tool are provided to quantify an amount of nasal collapse in a patient. The diagnostic tool includes a mask with an endoscope port and an opening to allow air flow, an endoscope with a camera adapted to take an image of the nasal valve, and an air flow sensor adapted to measure an inhalation rate of the patient. The diagnostic tool can quantify a size difference between the nasal valve during inhalation and zero flow by calculating a percentage difference in an area or one or more dimensions of the nasal valve during inhalation and zero flow.

A diagnostic tool and methods of using the tool are provided to quantify an amount of nasal collapse in a patient. The diagnostic tool includes a mask with an endoscope port and an opening to allow air flow, an endoscope with a camera adapted to take an image of the nasal valve, and an air flow sensor adapted to measure an inhalation rate of the patient. The diagnostic tool can quantify a size difference between the nasal valve during inhalation and zero flow by calculating a percentage difference in an area or one or more dimensions of the nasal valve during inhalation and zero flow.

Resuscitation and ventilation monitoring devices are provided. A device includes an inlet in fluid communication with airflows exchanged with lungs of a patient and an airflow meter for measuring characteristics of the airflows. A user may provide a controller with patient information, e.g., height, weight, gender, or age, via a measurement selector, enabling the controller to determine acceptable ranges of measured airflow characteristics. The device may determine a current mode of ventilation and associated ventilator settings based on the measured airflow characteristics. The device may also identify and filter out artifacts present in the ventilation signal, and determine whether a respiratory failure phenotype is present in the ventilation. If the current mode of ventilation and associated ventilator settings fall outside an acceptable range, the ventilation is classified as off-target and the controller may cause a sensory alarm to alert the user. The device may suggest a corrective action based on the type of off-target ventilation detected. The device may also continuously analyze ventilation to determine changes in lung compliance over time and to identify pathological changes over time. The device may work within a network of devices and user interfaces via wired or wireless communication, and is not restricted to or dependent on the type of ventilatory device with which a patient is being supported.