Aspects relate to systems and methods for inspirate sensing to determine a probability of an emergent physiological state. An exemplary system an inhalation sensor module configured to sense and transmit a plurality of inhalation parameters as a function of at least an inspirate, an environmental sensor module configured to sense and transmit a plurality of environmental parameters as a function of an environment, and a processor configured to generate a probability of an emergent physiological state by: inputting at least an environmental parameter and at least an inhalation parameter to a probabilistic machine learning model and generating the probability of an emergent physiological state as a function of the machine learning model.

Devices and methods for allowing for improved assisted ventilation of a patient. The methods and devices provide a number of benefits over conventional approaches for assisted ventilation. For example, the methods and devices described herein permit blind insertion of a device that can allow ventilation regardless of whether the device is positioned within a trachea or an esophagus. In addition, the methods and device allow for timed delivery of ventilations based on a condition of a thoracic cavity to increase the amount and efficiency of blood flow during a resuscitation procedure.

A high throughput method for label-free, noncontact, noninvasive, and nondestructive detection of at least one virus infected or virus free individual from at least one tested individual is provided. The method includes collecting a sample from exhaled breath of a subject for analysis of the sample. The collecting includes the subject exhaling into at least one sampler and collecting aerosols and/or any airborne compound from the exhaled breath by passing the exhaled breath through a metamaterial membrane within the sampler. The metamaterial membrane is arranged transverse to a flow of exhaled breath through the sampler. The method further includes analyzing the sample for detection of at least one virus infected individual from at least one tested individual.

A high throughput method for label-free, noncontact, noninvasive, and nondestructive detection of at least one virus infected or virus free individual from at least one tested individual is provided. The method includes collecting a sample from exhaled breath of a subject for analysis of the sample. The collecting includes the subject exhaling into at least one sampler and collecting aerosols and/or any airborne compound from the exhaled breath by passing the exhaled breath through a metamaterial membrane within the sampler. The metamaterial membrane is arranged transverse to a flow of exhaled breath through the sampler. The method further includes analyzing the sample for detection of at least one virus infected individual from at least one tested individual.

An information display and control system that enables a fast and easy understanding and management of the status of the patient's dialysis is disclosed. Also disclosed is an information display and control system that enables a fast and easy understanding and management of the status of the patient's cardiovascular and ventilation systems. The system can control management of a patient's dialysis, as well as administration and management of a patient's medication and fluids. The display is organized by goals related to management of patient's dialysis machine, blood flow, dialyzer flow, and patient's body weight. The display is also organized by goals related to management of patient's cardiovascular system, ventilation system, and medications and fluids administration and management. Such goals include urea reduction rate, urea reduction ratio, fractional urea clearance, total urea reduction, dialysis treatment duration, hemodynamics, oxygenation, CO.sub.2 removal, medication status, and fluids status.

A wearable device for detecting and/or measuring physiological information from a subject includes a housing, at least one optical emitter supported by the housing, at least one optical detector supported by the housing, a first light guide supported by the housing, a second light guide supported by the housing, a motion sensor supported by the housing, and a processor supported by the housing. The processor is configured to calculate footsteps, distinguish footsteps from heart beats, and to remove footstep motion artifacts from signals produced by the at least one optical detector. Also, the processor is configured to process signals produced by the at least one optical detector to determine subject heart rate and to produce integrity data about the subject heart rate. The process is further configured to generate a multiplexed output serial data string comprising the subject heart rate and the integrity data.

Various embodiments of the disclosed technology present a structural foundation for volumetric flow reconstructions for expiratory modeling enabled through multi-modal imaging for pulmonology. In some embodiments, this integrated multi-modal system includes infrared (IR) imaging, thermal imaging of carbon dioxide (CO.sub.2), depth imaging (D), and visible spectrum imaging. These multiple image modalities can be integrated into flow models of exhale behaviors enable the creation of three-dimensional volume reconstructions based on visualized CO.sub.2 distributions over time, formulating a four-dimensional exhale model which can be used to estimate various pulmonological traits (e.g., breathing rate, flow rate, exhale velocity, nose/mouth distribution, tidal volume estimation, and CO.sub.2 density distributions). Various embodiments also enable the accurate acquisition of numerous pulmonary metrics that are then stored within distributed systems for respiratory data analytics and feature extraction through deep learning embodiments.

Various embodiments of the disclosed technology present a structural foundation for volumetric flow reconstructions for expiratory modeling enabled through multi-modal imaging for pulmonology. In some embodiments, this integrated multi-modal system includes infrared (IR) imaging, thermal imaging of carbon dioxide (CO.sub.2), depth imaging (D), and visible spectrum imaging. These multiple image modalities can be integrated into flow models of exhale behaviors enable the creation of three-dimensional volume reconstructions based on visualized CO.sub.2 distributions over time, formulating a four-dimensional exhale model which can be used to estimate various pulmonological traits (e.g., breathing rate, flow rate, exhale velocity, nose/mouth distribution, tidal volume estimation, and CO.sub.2 density distributions). Various embodiments also enable the accurate acquisition of numerous pulmonary metrics that are then stored within distributed systems for respiratory data analytics and feature extraction through deep learning embodiments.

Devices and methods for allowing for improved assisted ventilation of a patient. The methods and devices provide a number of benefits over conventional approaches for assisted ventilation. For example, the methods and devices described herein permit blind insertion of a device that can allow ventilation regardless of whether the device is positioned within a trachea or an esophagus. In addition, the methods and device allow for timed delivery of ventilations based on a condition of a thoracic cavity to increase the amount and efficiency of blood flow during a resuscitation procedure.

A system for estimating maximum heart rate and maximal oxygen uptake from submaximal exercise intensities can include an exercise intensity monitor, a cardiopulmonary monitor, and one or more computers. The computers can be configured, by virtue of appropriate programming, to receive submaximal exercise intensity data from the exercise intensity monitor and submaximal cardiopulmonary data from the cardiopulmonary monitor while a user, who coupled to the exercise intensity monitor and the cardiopulmonary monitor, is performing an exercise at a submaximal exercise intensity. The one or more computers then determine a heuristic estimate of a maximal cardiopulmonary state of the user based on the submaximal exercise intensity data and the submaximal cardiopulmonary data.