The present disclosure provides generally for a therapeutic oral device for sleep apnea and associated methods for using the device. According to the present disclosure, the device may comprise a hard palate portion, mouth guard portion, and a tongue retainer portion. The hard palate portion may comprise one or more materials. The hard palate portion may also comprise a composite of materials, including but not limited to embedded materials. The mouth guard portion may comprise one or more components that provide stability and maintain the position of the therapeutic oral device within the mouth. The tongue retainer portion may comprise an airway and a predetermined length. A method of use may comprise the utilization of one or more incremental oral devices to overcome a gag reflex. When the oral device is formed from a mold, the mouth guard portion and the hard palate portion may be custom fit to the dimensions of the intended mouth.

A universal respiratory detector for detecting a respiratory gas. The universal respiratory detector may include a plurality of layers with a visual indicator to quickly and reversibly change color to detect a respiratory gas parameter such as carbon dioxide. The color change may be visible from both sides of the detector. In some examples, the respiratory detector may be a biocompatible and conformable sticker for mounting on a person's face or an oxygen delivery device.

Systems for preparing, training, and deploying a machine learning algorithm for making medical condition state determinations include at least one processing unit that includes the machine learning algorithm. The at least one processing unit is programmed to receive image input from an imaging device, receive patient health data, encode the patient health data to convert the patient health data to encoded patient health data, and transmit the encoded patient health data into the machine learning algorithm. Systems are configured to make a medical condition state determination based on the image input and the encoded patient health data, via the machine learning algorithm, and provide visual output for the medical condition state determination via a display device such that the visual output may be augmented with the patient health data. Dynamic state information also may be input to the machine learning algorithm and used to make medical condition state determinations.

The invention provides a physiological sensing device for the measurement of pCO2, the device comprising: (i) a closed chamber bounded, at least partially, by a carbon dioxide permeable membrane; and (ii) at least two electrodes within said chamber, wherein said chamber contains a substantially electrolyte-free liquid in contact with the electrodes and the membrane and wherein the liquid comprises at least one metal or metalloid ion.

A stand-alone, fully integrated self-contained wearable metabolic analyzer for metabolic rate and respiratory quotient measurement. It includes a device body, disposable mask, and headgear. The device body comprises multiple different miniaturized modules, including a colorimetric sensing module, flow module, control circuit, power module, environmental sensors, wireless module, communication module, memory module, signal processing module, and display module. A disposable sensor chip, coated with chemical sensing probes, is utilized in the colorimetric sensing module for breath O2 and CO2 detection. A Venturi tube and pressure sensor-based flow module measures breath flow rate. The self-contained wearable metabolic analyzer derives physiological parameters including resting energy expenditure (REE), respiratory quotient (RQ), oxygen consumption (VO2), carbon dioxide production (VCO2), minute ventilation (VE), breath frequency (BF), and tidal volume (TV) from the measurement.

A breath parameter measuring device is described which takes into account breathing patterns which historically have been incompatible with accurate measurements. In particular, during fast breathing patterns, the sensor performing the measurement may not be able to respond quickly enough to provide the true reading. The disclosure may be useful for example in the case of neonatal breath carbon dioxide measurements.

A Self Monitoring And Reporting Therapeutics, SMART® composition, method apparatus and system are provided which flexibly provide options, by combining different embodiments of the device with different embodiments of the composition, the ability to conduct definitive medication adherence monitoring over the short term (Acute Medication Adherence Monitoring, immediately up to an hour or so after taking a medication), intermediate term (Intermediate Medication Adherence Monitoring, IMAM, an hour or so to a day or so after taking a medication), and longer term (Chronic Medication Adherence Monitoring, CMAM, a day to several days after taking a medication).

An input interface is configured to receive a signal corresponding to vital information that exhibits temporal variation. When at least one instruction stored in a memory is executed by a processor, waveform information (W) is generated based on the signal; a value of a profile factor of the waveform information (W) is obtained every time a predetermined time period is elapsed; and the value is displayed on the display section (15). The profile factor includes at least one of a rising angle, a top portion angle, a falling angle, a rising velocity, an absolute value of the rising velocity, a top portion velocity, an absolute value of the top portion velocity, a falling velocity, an absolute angle of the falling velocity, an under-waveform area, a rising-falling time interval, a falling-rising time interval, a rising-rising time interval and a falling-falling time interval.

Described herein are systems and methods for favorably coordinating a timing relationship between a musculoskeletal activity cycle and a cardiac cycle of a user. A method may include repetitively detecting a signal that correlates to a blood volume in the user; determining an actual value of the signal that varies with the timing relationship; computing a trend of the actual value of the signal; and adjusting the movement guidance based on the trend of the actual value. A system may include a prompt device configured to provide recurrently a movement guidance to the user for guiding performance of the rhythmic musculoskeletal activity; a sensor configured to provide a signal that correlates to a blood volume in the user; and a processor configured to determine an actual value of the signal that varies with the timing relationship and to adjust the movement guidance based on the trend of the actual value.

A method and assembly for monitoring physiological parameters of a subject is provided. The method includes measuring, with a physiological sensor, data that indicates a change in a value of a physiological parameter of a subject over a time period. The method further includes measuring, with a motion sensor, data that indicates a value of a motion of the subject over the time period. The method further includes determining, with a processor, whether the value of the motion of the subject over the time period is less than a motion threshold. The method includes determining, with the processor, whether the change in the value of the physiological parameter over the time period exceeds a change threshold. The method also includes performing an action based on the determination that the change in the value of the physiological parameter exceeds the change threshold.