Provided herein is a capnography fitting for use in a capnography system wherein the capnography fitting is configured to fit inhalation masks of various sizes and shapes so that viable carbon dioxide readings can be obtained from an air sample obtained from a patient's exhaled gas. The fitting includes a rigid tube having a proximal end inlet configured to receive an inhalation gas and to slidably engage a mixed gas fitting, and a distal end outlet configured to slidably engage directly to an inlet of an inhalation mask configured to cover a nose and/or mouth. The tube also includes an angled port in fluid communication with and disposed adjacent to the proximal end inlet or the distal end outlet. Methods and kits are also provided.

A system, device and method are provided for continuously generating more than 0.01 watt of electrical energy by harnessing mechanical or kinetic energy from a reciprocating motion of a user's torso during breathing. The reciprocating motion causes reciprocating lateral and medial translation of two chambers of the device housing. That reciprocating lateral and medial translation rotates a gear, which in turn, drives a dynamo to produce electrical energy. Since the conversion from the mechanical energy of the spinning rod to power is direct, the energy-conversion efficiency may be up to 90% or higher. The device may further comprise one or more charging means for providing electrical energy to one or more peripheral electronic devices. In some embodiments, additional integrated functions may include auxiliary energy storage, backup energy, emergency power, mini-MP3 player, data recorder, GPS interface, miniature video recorder, speaker, abdomen muscle exercise, timing, Bluetooth interface, and heath information analyzer.

The present invention relates to a system for real-time determination of a local strain of a lung during artificial ventilation. The system comprises a device for electrical impedance tomography (EIT), which device is configured to capture an electrical impedance distribution along at least one two-dimensional section through a human thorax, and further comprises a device for assigning the captured electrical impedance distribution, which device is configured to divide the captured electrical impedance distribution at different times during the artificial ventilation into a multiplicity of EIT pixels and to assign a specific value of the electrical impedance at a specific time to a specific EIT pixel.

Embodiments disclosed herein improve digital stethoscopes and their application and operation. A first method detects of a respiratory abnormality using a convolution. A second method counts coughs for a patient. A third method predicts a respiratory event based on a detected trend. A fourth method forecasts characteristics of a future respiratory event. In a fifth embodiment, a base station is provided for a digital stethoscope.

A smart multi-modal telehealth IoT system for respiratory analysis. Such a system includes a body area sensor network comprised of meshed wireless sensor nodes and advanced machine learning techniques. The system may be used to remotely diagnose a user's respiratory illness and monitor their health.

A method of determining a fitness level of user with an acoustic measurement device configured to measure sound associated with airflow through a mammalian trachea. The acoustic measurement device is in communication with a controller having processing circuitry. The method includes correlating the measured sound into a measurement of the user's respiratory rate and tidal volume; calculating a second respiratory rate value using the measured tidal volume; calculating a breathing efficiency (BE) ratio based on a comparison of the user's measured respiratory rate and the calculated second respiratory rate value; correlating the calculated BE ratio to a predetermined threshold; and assigning a classification to the user based on the calculated BE ratio. The classification is indicative of the user's respiratory function performance.

A ventilator system is capable of displaying complex information patterns in a GUI, thereby allowing a clinician to get subtract complex information from multiple parameters inputs.

A ventilator system is capable of displaying complex information patterns in a GUI, thereby allowing a clinician to get subtract complex information from multiple parameters inputs.

A non-invasive method and system is provided for determining an internal component of respiratory effort of a subject in a respiratory study. Both a thoracic signal (T) and an abdomen signal (A) are obtained, which are indicators of a thoracic component and an abdominal component of the respiratory effort, respectively. A first parameter of a respiratory model is determined from the obtained thoracic signal (T) and the abdomen signal (A). The first parameter is an estimated parameter of the respiratory model that is not directly measured during the study. The internal component of the respiratory effort is determined based at least on the determined first parameter of the respiratory model. The first model parameter is determined based on the thorax signal (T) and the obtained abdomen signal (A) without an invasive measurement.

A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.