Abstract: A method and apparatus are provided for authenticating a measure of sleepiness in a person in which a measure of the person's sleepiness and an authentication step are performed substantially simultaneously on substantially the same physical attribute of the person. In one form, an eye of a person is scanned under infrared light and a unique identifying code is calculated from the iris as an authentication step. In one form, a measure of the person's sleepiness is determined from changes in the pupil size with time.

Abstract: A method and apparatus that provides an expert system for determining respiratory phase during ventilatory support of a subject. Discrete phase states are partitioned and prior probability functions and observed probability functions for each state are defined. The probability functions are based upon relative duration of each state as well as the flow characteristics of each state. These functions are combined to determine phase probabilities for each state using Bayes' theorem. The calculated probabilities for the states may then be compared to determine which state the subject is experiencing. A ventilator may then conform respiratory support in accordance with the most probable phase. To provide a learning feature, the probability functions may be adjusted during use to provide a more subject specific response that accounts for changing respiratory characteristics.

Abstract: A mask includes a patient interface and a reminder system provided to the patient interface. The reminder may manifest itself in mechanical, electronic, chemical, and/or electro-mechanical forms, and may be provided to various portions of the patient interface, e.g., mask frame, cushion, hoses, headgear, etc. Moreover, the reminder system may be a stand-alone system, or it may be provided to other portions of the CPAP/PPV apparatus.

Abstract: A breathing apparatus includes components, including, but not limited to, a flow generator, a patient interface, and a delivery conduit. A connector for connecting components of the breathing apparatus includes a male connector, including a recess, extending from a first component, and a female connector, including a lever pivotally connected thereto, extending from a second component. The connector may instead include a first component including a channel; and a second component including at least one retractable pin to engage the channel upon insertion of the first component into the second component. The connector may instead include a first component having at least one retractable projection; and a second component having an aperture. The first component is configured to be inserted into the second component so that the projection is retracted upon engagement of the first and second components, and projects into the aperture upon alignment of the projection and the aperture.

Abstract: An air delivery system includes a controllable flow generator operable to generate a supply of pressurized breathable gas to be provided to a patient for treatment. A touchless control system is associated with at least one control feature adapted to control at least one operating parameter of the flow generator. The touchless control system includes one or more sensors to detect patient hand movement and a controller to selectively activate the at least one control feature based on the patient hand movement detected by the one or more sensors.

Abstract: A method and apparatus that provides an expert system for determining respiratory phase during ventilatory support of a subject. Discrete phase states are partitioned and prior probability functions and observed probability functions for each state are defined. The probability functions are based upon relative duration of each state as well as the flow characteristics of each state. These functions are combined to determine phase probabilities for each state using Bayes' theorem. The calculated probabilities for the states may then be compared to determine which state the subject is experiencing. A ventilator may then conform respiratory support in accordance with the most probable phase. To provide a learning feature, the probability functions may be adjusted during use to provide a more subject specific response that accounts for changing respiratory characteristics.

Abstract: A method and apparatus that provides an expert system for determining respiratory phase during ventilatory support of a subject. Discrete phase states are partitioned and prior probability functions and observed probability functions for each state are defined. The probability functions are based upon relative duration of each state as well as the flow characteristics of each state. These functions are combined to determine phase probabilities for each state using Bayes' theorem. The calculated probabilities for the states may then be compared to determine which state the subject is experiencing. A ventilator may then conform respiratory support in accordance with the most probable phase. To provide a learning feature, the probability functions may be adjusted during use to provide a more subject specific response that accounts for changing respiratory characteristics.

Abstract: A method and apparatus that provides an expert system for determining respiratory phase during ventilatory support of a subject. Discrete phase states are partitioned and prior probability functions and observed probability functions for each state are defined. The probability functions are based upon relative duration of each state as well as the flow characteristics of each state. These functions are combined to determine phase probabilities for each state using Bayes' theorem. The calculated probabilities for the states may then be compared to determine which state the subject is experiencing. A ventilator may then conform respiratory support in accordance with the most probable phase. To provide a learning feature, the probability functions may be adjusted during use to provide a more subject specific response that accounts for changing respiratory characteristics.