Disclosed is a computer controlled dosage system, for dosage adjustment for a mobile, hand held, inhaler for delivering a dosage of a medicine, is provided. The system comprises at least one measuring device for measuring at least one parameter; and a handheld mobile computer separate from the inhaler, the computer being configured to communicate with the at least one measuring device and with a remote memory for sending and receiving information to and from patient medical records of the remote memory for storage in a memory of the computer, and the computer being configured to receive a manual input for storage in the memory of the computer. The computer is configured to create a data set for setting a plurality of levels of different dosages of medicine based on the medicine used by the inhaler, the information from the patient's medical records of the remote memory, and the manual input; and the computer is further configured to store the data set in the memory of the computer. The computer is further configured to generate an indication indicating a dosage adjustment for the inhaler, based on the at least one parameter and on one of the plurality of levels of dosage of the data set, the indication indicating one of the plurality of levels of dosage of the data set as the dosage adjustment for the inhaler. A dosage regime generated by the computer controlled dosage system is also disclosed.

Several methods of supporting respiratory function of a patient before, during and/or after a medical procedure are disclosed. In certain arrangements, supporting respiratory function while a patient is under general anaesthesia can include providing a high gas flow a high gas flow that is greater than 15 L/min while the patient is under general anaesthesia. In certain arrangements, a method of providing ventilation while a patient is under general anaesthesia involves providing only a gas flow delivered through a nasal interface that is greater than 15 L/min while the patient is under general anaesthesia

The disclosure provides systems and methods for neuromodulation using a housing that at least partially contains a stimulator assembly, wherein the stimulator assembly is configured to generate vibration by mechanical oscillation and/or using a sound wave; and wherein the vibration generated by the stimulator assembly is configured to therapeutically treat the subject by stimulating one or more nerves when the housing is placed in proximity to or on a skin surface of a subject.

The disclosure provides systems and methods for neuromodulation using a housing that at least partially contains a stimulator assembly, wherein the stimulator assembly is configured to generate vibration by mechanical oscillation and/or using a sound wave; and wherein the vibration generated by the stimulator assembly is configured to therapeutically treat the subject by stimulating one or more nerves when the housing is placed in proximity to or on a skin surface of a subject.

Described is an apparatus for oxygenation and/or CO2 clearance of a patient, comprising: a flow source or a connection for a flow source for providing a gas flow, a gas flow modulator, a controller to control the gas flow, wherein the controller is operable to: receive input relating to heart activity and/or trachea gas flow of the patient, and control the gas flow modulator to provide a varying gas flow with one or more oscillating components with a frequency or frequencies based on the heart activity and/or trachea flow of the patient.

Described is an apparatus for oxygenation and/or CO2 clearance of a patient, comprising: a flow source or a connection for a flow source for providing a gas flow, a gas flow modulator, a controller to control the gas flow, wherein the controller is operable to: receive input relating to heart activity and/or trachea gas flow of the patient, and control the gas flow modulator to provide a varying gas flow with one or more oscillating components with a frequency or frequencies based on the heart activity and/or trachea flow of the patient.

The present disclosure, in one embodiment, is a computer-implemented method for the detection of and intervention in traumatic nightmares. In one embodiment, a user wears a watch wirelessly connected to a phone. The watch may include an accelerometer, gyroscope, and heartrate monitor. The application may monitor these sensors and intervene with haptic feedback if the application detects a traumatic nightmare. In one embodiment, the application may include a monitoring module that collects data from the watch's accelerometer, gyroscope, and heartrate sensors. The application may then estimate and record stress levels based on these sensors. The application may also include an intervention module that responds to high stress levels with haptic feedback that increases in intensity of previous efforts to intervene were unsuccessful.

The present disclosure, in one embodiment, is a computer-implemented method for the detection of and intervention in traumatic nightmares. In one embodiment, a user wears a watch wirelessly connected to a phone. The watch may include an accelerometer, gyroscope, and heartrate monitor. The application may monitor these sensors and intervene with haptic feedback if the application detects a traumatic nightmare. In one embodiment, the application may include a monitoring module that collects data from the watch's accelerometer, gyroscope, and heartrate sensors. The application may then estimate and record stress levels based on these sensors. The application may also include an intervention module that responds to high stress levels with haptic feedback that increases in intensity of previous efforts to intervene were unsuccessful.

A robot-connected IoT-based sleep-caring system includes a sleep-caring robot and an IoT system. The sleep-caring robot includes environment monitoring, physiology monitoring, sleep monitoring, sound, lighting and electricity control, a smart storage compartment, central data processing, and machine arms. The IoT system senses and executes instructions from the sleep-caring robot, thereby catering to bedroom activities of the user.

A robot-connected IoT-based sleep-caring system includes a sleep-caring robot and an IoT system. The sleep-caring robot includes environment monitoring, physiology monitoring, sleep monitoring, sound, lighting and electricity control, a smart storage compartment, central data processing, and machine arms. The IoT system senses and executes instructions from the sleep-caring robot, thereby catering to bedroom activities of the user.