Systems and methods directed to handheld respiratory diagnostics, trainings, and therapy are disclosed. More specifically, a device that collects data associated with a user's breathing using sensors, analyzes that data to determine time series readings of one or more health-related vitals, and generates trainings and therapies to assist the user in real time is described.

A medical system for assisting with an intubation procedure for a patient. The system comprising airflow sensors configured to obtain data indicative of airflow in the patient's airway and physiological sensors configured to obtain information regarding airflow in the patient's lungs. The system further including a monitoring device communicatively coupled to the airflow sensors and the physiological sensors. The patient monitoring device comprising at least one processor coupled to memory and configured to: provide a user interface on a display and assist the rescuer in determining proper placement of an endotracheal tube, receive the data indicative of the airflow in the patient's airway, receive the physiological information regarding the airflow in the patient's lungs, and determine whether the tube is properly placed based on the received physiological information, and present an output of the determination of whether the ET tube was properly placed.

A liquid reactivity detection device and method. The liquid reactivity detection device includes: a breathing signal acquisition module, a hemodynamic signal acquisition module and a liquid reactivity detection module. The breathing signal acquisition module and the hemodynamic signal acquisition module work in cases where the subject is in any one of the following breathing modes: a spontaneous breathing mode, a spontaneous breathing combined with mechanical ventilation mode, and a mechanical ventilation mode. The hemodynamic signal acquisition module is configured to acquire at least one hemodynamic signal of the subject. The breathing signal acquisition module is configured to acquire at least one breathing signal of the subject. The liquid reactivity detection module is configured to determine the liquid reactivity of the subject according to the breathing signal and the hemodynamic signal.

A processing device configured to process physiological information of a subject, the processing device includes a reception interface configured to receive first data corresponding to a measurement waveform of a first physiological parameter of the subject, and second data related to an acquisition environment of the first physiological parameter, an predictor configured to predict a first probability of correctly calculating a value of the first physiological parameter, based on the first data, and a processor configured to identify, of the first data, a part in which the first probability is higher than a first threshold under a circumstance where the first physiological parameter is determined to be abnormally acquired based on the second data.

Techniques for determining a volume of exhaled CO.sub.2 as a function of time using side-stream capnography, including obtaining flow dynamics measurements of a subject from a flow sensor; obtaining CO.sub.2 concentration measurements of the subject from a side-stream CO.sub.2 monitor; determining a duration of time (ΔT.sub.s1) for a sample of gas to flow from a reference point to the side-stream CO.sub.2 monitor; synchronizing in time the CO.sub.2 concentration measurement with the flow dynamics measurement, based on the determined ΔT.sub.s1; and determining a volume of CO.sub.2 exhaled as a function of time, based on the flow dynamics measurement and the synchronized CO.sub.2 concentration measurement.

A ventilation monitoring system for assisting in proper placement of an endotracheal tube in a subject includes: a capnography sensor configured to be placed in fluid communication with the endotracheal tube and to provide information representative of the subject's breath; and a processor in communication with the capnography sensor. The processor is configured to provide an indication of proper endotracheal tube placement when (1) a first indication of the subject's breath and a positive result of a first auscultation are identified within a first predetermined time period, and (2) a second indication of the subject's breath and a positive result of a second auscultation are identified within a second predetermined time period. The first auscultation includes auscultation of a subject's left lung, right lung, left axillary region, right axillary region, or abdomen. The second auscultation includes auscultation of another region of the subject different from the first auscultation.

An acoustic sensor platform based method and apparatus provides for improved pain mitigation, apnea detection, aspiration detection and patient communication in anesthesia patients. The platform includes an acoustic sensor configured to be coupled to one of a nasal cannula or face mask of the anesthesia patient; a processer coupled to the acoustic sensor and configured to i) Detect patient speech and isolate and amplify the patient speech, and ii) Detect at least one of a breathing rate of the patient or aspiration of the patient; and an audio visual display coupled to the processor and providing an audio and/or visual display of the isolated and amplified speech of the patient, and displaying results for at least one of a breathing rate of the patient or aspiration of the patient.

A combined exhaled air and environmental gas sensor apparatus for mobile respiratory equipment includes a housing, wherein the housing includes a port aperture, a connector configured to attach the port aperture to a respiratory exhaust port, and at least an ambient aperture connecting to an exterior environment, a sensor positioned within the housing, the sensor configured to detect a carbon dioxide level and generate sensor outputs indicating detected carbon dioxide level, a processor communicatively connected to the sensor, the processor including a memory, a breath analysis mode and an environmental analysis mode, wherein the processor is configured to receive a plurality of sensor outputs from the sensor, match the plurality of sensor outputs to mode parameter profile, and switch between the breath analysis mode and the environmental analysis mode as a function of the mode parameter profile.

A system for measuring a gas concentration, the system including: a first oscillator including a first surface for placement in a sampling location, wherein the first oscillator oscillates at a frequency greater than 20,000 Hz but less than 300,000,000 Hz; a first counter to accumulate a count of oscillations of the first oscillator; and a comparator to calculate a difference between the accumulated counts of the first oscillator and a reference, wherein the difference calculated by the comparator is sampled at a frequency of less than 100 Hz.

Systems and methods for quantifying the likelihood of the contribution of multiple possible forms of chronic disease to patient reported dyspnea can include the testing protocol having a flow/volume loop, performed at rest, flowed by the measurement of cardiopulmonary exercise gas exchange variables during rest, exercise and recovery as unique data sets. The data sets are analyzed using feature extraction steps to produce a pictorial image consisting of disease silos displaying the likelihood of the contribution of various chronic diseases to patient reported dyspnea. In some embodiments, the silos are split into subclass silos. In some embodiments, multiple chronic disease indexes are used to differentiate between sub-types of a particular chronic disease (e.g., differentiating WHO 1 PH from WHO 2 or WHO 3 PH). Test results are plotted serially to asses to provide feedback to the physician on the efficacy of therapy provided to the patient.