A method for estimating an inhale dose when a drug is delivered to a person using an inhaler is disclosed. A predicted inhale dose (PID) of the drug is estimated based on at least one first-type parameter and at least one second-type parameter. The first-type parameter is related to a breath pattern of the person, and the second-type parameter is related to the inhaler.

A method for estimating an inhale dose when a drug is delivered to a person using an inhaler is disclosed. A predicted inhale dose (PID) of the drug is estimated based on at least one first-type parameter and at least one second-type parameter. The first-type parameter is related to a breath pattern of the person, and the second-type parameter is related to the inhaler.

The present disclosure presents systems, apparatuses, and methods of evaluating air quality sensor data. In this regard, a method comprises receiving air quality sensor data from a plurality of portable smart air quality measurement system (SAQMS) communication devices from a plurality of citizens in a geographic location; receiving air quality sensor data from an air quality measurement and calibration (AQMC) station in the geographic location; determining a level of resolution for one or more sensors of a portable SAQMS communication device at a central evaluation and measurement service; correcting air quality data received from the portable SAQMS communication device to compensate for the determined level of resolution at the central evaluation and measurement service; and generating a map of air quality data based on at least the corrected air quality data of the portable SAQMS communication device and a plurality of other portable SAQMS communication devices.

Systems and methods of the present disclosure are directed to neural stimulation via audio and visual stimulations. The combination and/or sequence of audio and visual brain stimulations can adjust, control or otherwise manage the frequency of the neural oscillations to provide beneficial effects to one or more cognitive states or cognitive functions of the brain, while mitigating or preventing adverse consequences on a cognitive state or cognitive function that stems from sleep deprivation. In doing so, the present systems and methods can reduce sleep fragmentation, improve sleep quality, and slow the progression of cognitive decline in a subject with Alzheimer's disease and MCI.

Systems and methods of assisting a subject to reach a target state include obtaining input of the target state of the subject; and generating a transcutaneous vibratory output to be applied to a portion of a body of the subject to assist the subject in achieving the target state, the transcutaneous vibratory output having variable parameters comprising a perceived pitch, a perceived beat, and a perceived intensity wherein the step of generating the transcutaneous vibratory output further comprises the step of modifying the variable parameters to correspond to the target state.

Systems and methods of assisting a subject to reach a target state include obtaining input of the target state of the subject; and generating a transcutaneous vibratory output to be applied to a portion of a body of the subject to assist the subject in achieving the target state, the transcutaneous vibratory output having variable parameters comprising a perceived pitch, a perceived beat, and a perceived intensity wherein the step of generating the transcutaneous vibratory output further comprises the step of modifying the variable parameters to correspond to the target state.

A system includes a respiratory device, a mask, a microphone, a speaker, and a control system. The respiratory device is configured to supply pressurized air. The mask is coupled to the respiratory device and configured to engage a user during a sleep session to aid in directing the supplied pressurized air to the user. The microphone is configured to generate audio data. The speaker is configured to emit sound. The control system is configured to analyze the audio data to determine if noise associated with air leaking from the mask is occurring. Responsive to (i) the analysis resulting in a determination that noise associated with air leaking from the mask is occurring, (ii) the respiratory device determining that air is leaking from the mask, or (iii) both, the speaker is caused to emit the sound to aid in masking the noise associated with the air leaking from the mask.

Systems and methods for triggering inspiration and/or cycling exhalation with a ventilator are described herein. In particular, systems and methods for synchronizing ventilator breath delivery with patient breath demand utilizing a digital sample counting trigger mode are described herein. The digital sample counting triggering mode characterizes digital samples taken from a measured or estimated parameter during the patient inhalation/exhalation period to synchronize breath delivery with patient breath demand.

Provided is a system (10) for determining a probability of an asthma exacerbation in a subject. The system comprises an inhaler (100) for delivering a rescue medicament to the subject. The inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation. The system further comprises a processor (14) configured to determine a number of the rescue inhalations during a first time period, and receive the parameter measured for at least some of the rescue inhalations. The processor determines, using a weighted model, the probability of the asthma exacerbation based on the number of rescue inhalations and the parameters.

The model is weighted such that the number of rescue inhalations is more significant in the probability determination than the parameters.

Provided is a system (10) for determining a probability of an asthma exacerbation in a subject. The system comprises an inhaler (100) for delivering a rescue medicament to the subject. The inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation. The system further comprises a processor (14) configured to determine a number of the rescue inhalations during a first time period, and receive the parameter measured for at least some of the rescue inhalations. The processor determines, using a weighted model, the probability of the asthma exacerbation based on the number of rescue inhalations and the parameters.

The model is weighted such that the number of rescue inhalations is more significant in the probability determination than the parameters.