Abstract: A method comprises receiving data associated with a diabetes treatment plan of the individual. The method further comprises receiving data associated with a respiratory therapy plan of the individual. The respiratory therapy plan is implementable by a respiratory therapy system during a sleep session. The method further comprises determining a potential interaction between the diabetes treatment plan of the individual and the respiratory therapy plan of the individual. The method further comprises, based on the interaction, updating the diabetes treatment plan of the individual.

Abstract: A system monitors fatigue of a user. The system (100) may include one or more data sources, such as a non-obtrusive sleep sensor, configured to generate objective sleep measures of the user. The system may also include a fatigue monitoring module, which may be configured to generate an assessment, such as in one or more processors, of the fatigue state of the user based on the data from the one or more data sources.

Abstract: A wearable device can automatically switch between modes of collecting sensor data when a docking event is detected between the wearable device and a docking device. In a first mode (e.g., when undocked), data can be collected using a first sensor configuration (e.g., a first set of sensors operating using a first set of sensing parameters). In a second mode (e.g., when docked), data can be collected using a second sensor configuration, which can include the use of one or more different sensors and/or the use of one or more different sensing parameters. The first mode may prioritize battery life, whereas the second mode may prioritize sensor data fidelity, such as by increasing sampling rates, using different sensors, and the like. Sensor data from the first and second modes can be used individually (e.g., to calibrate the other) and/or together (e.g., to determine physiological parameters).

Abstract: Systems and methods assist with managing a chronic disease of a user such as a chronic respiratory or cardiac disease. The system may include a physiological monitor adapted to be carried by the user and operative to sense a physiological parameter of the user by generating one or more signals. The system may include a management device operatively coupled with the physiological monitor to receive the signal(s) and derive the physiological parameter(s) of the user. The management device, such as with an included processor, may be configured to analyze the physiological and/or environmental parameters to detect a trigger pattern of the parameters, the trigger pattern indicative of a probable event of exacerbation of the chronic respiratory and/or cardiac condition. The management device may then generate automated responses based on the trigger pattern such as by providing instructions for activities and/or treatment for the chronic condition.

Abstract: Methods and devices provide physiological movement detection, such as gesture, breathing, cardiac and/or gross body motion, with active sound generation such as for an interactive audio device. The processor may evaluate, via a microphone coupled to the interactive audio device, a sensed audible verbal communication. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the generated sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique, to derive a physiological movement signal. The processor may generate, in response to the sensed audible verbal communication, an output based on an evaluation of the derived physiological movement signal.

Abstract: A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.

Abstract: Various implementations of the present disclosure are directed to systems and methods for characterizing a conduit coupled to a respiratory therapy device in a respiratory therapy system. The method includes generating a first airflow from the respiratory therapy device to the conduit by operating a motor of the respiratory therapy device at a first revolutions per minute. The method further includes receiving a first airflow parameter data associated with the first airflow, wherein the first airflow parameter data has a first pair of two distinct airflow parameter values. The method further includes determining a first relationship between the first airflow parameter data and the conduit, and characterizing the conduit based on the first relationship.

Abstract: An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypopneas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.

Abstract: A system and method to match an interface to the face of a user for respiratory therapy. A facial image of the user is stored. Facial features based on the facial image are determined. A database stores facial profiles based on facial features and a corresponding plurality of interfaces. A database stores operational data of respiratory therapy devices with the plurality of corresponding interfaces. A selection engine is coupled to the databases. The selection engine is operative to select an interface for the user from the plurality of corresponding interfaces based on a desired outcome based on the stored operational data and the facial features. The collected data may also be employed to determine whether the selected interface is correctly fitted to the face of the user.

Abstract: A method includes providing a tag applied to an intended test subject. The tag having an anti-tamper authentication feature that is altered when the tag is removed from the test subject, and which, when altered, is rendered unsuitable for authentication. The method including providing a diagnostic device applied to a test subject. The diagnostic device interacting with the anti-tamper authentication feature of the tag. The method including authenticating the tag with the diagnostic wearable device based on the diagnostic device's interaction with the anti-tamper authentication feature. Successful authentication indicating that the test subject is the intended test subject. Unsuccessful authentication occurring when the anti-tamper authentication feature is altered. The method including collecting sensor data from the test subject via the diagnostic device.

Abstract: A method includes receiving sensor data from a device worn on one or more digits of a test subject. The method including determining physiological parameter(s) from at least a first portion of the sensor data acquired during a test session. The method including associating the determined physiological parameter(s) with the testing session. The method including authenticating the device by i) determining identification data using at least a second portion of the sensor data, the identification data including identifiable characteristic(s) of the one or more digits; ii) accessing authentication data that includes one or more authentication characteristics; and iii) comparing the identification data with the authentication data to determine a match to authenticate the device. The method including generating a chain of custody determination based at least in part on the authentication of the device. The method including associating the chain of custody determination with the testing session.

Abstract: A method includes receiving, at a user device, first sensor data from sensor(s) coupled to the user device. The method including receiving identity enrollment information associated with a test subject engaging in a testing session and establishing a communication link between the user device and a wearable diagnostic device. The method also includes associating the wearable diagnostic device with the testing session by determining, using first sensor data, that the wearable diagnostic device is being worn by the test subject at a first time. The method including receiving second sensor data from the wearable diagnostic device after the first time. The method including analyzing the second sensor data to identify an interference instance indicative that the wearable diagnostic device is no longer worn by the test subject at a second time. The method including generating a chain of custody determination based at least in part on the interference instance.

Abstract: Various implementations of the present disclosure are directed to systems and methods for managing blood pressure conditions of a user of a respiratory therapy system by controlling operational parameters associated with the respiratory therapy system. The method includes receiving cardiovascular data associated with a user of a respiratory therapy system during a sleep session and determining, based at least in part on the received cardiovascular data, a value of a first physiological parameter associated with the user. The method further includes determining whether the value of the first physiological parameter satisfies a first condition and in response to the first physiological parameter satisfying the first condition, determining a modification of an operational parameter associated with the respiratory therapy system.

Abstract: A system and method to match an interface to the face of a user for respiratory therapy. A facial image of the user is stored. Facial features based on the facial image are determined. A database stores facial profiles based on facial features and a corresponding plurality of interfaces. A database stores operational data of respiratory therapy devices with the plurality of corresponding interfaces. A selection engine is coupled to the databases. The selection engine is operative to select an interface for the user from the plurality of corresponding interfaces based on a desired outcome based on the stored operational data and the facial features. The collected data may also be employed to determine whether the selected interface is correctly fitted to the face of the user.

Abstract: A method for predicting a subjective comfort level of a user of a respiratory therapy system is disclosed as follows. Data associated with the user of the respiratory therapy system during a therapy session is received. At least one parameter associated with the user is determined based at least in part on a first portion of the received data. A comfort score is determined based at least in part on the determined at least one parameter. The comfort score is indicative of the subjective comfort level of the user of the respiratory therapy system during at least a portion of the therapy session.

Abstract: Methods and apparatus provide physiological movement detection, such as gesture, breathing, cardiac and/or gross motion, such as with sound, radio frequency and/or infrared generation, by electronic devices such as vehicular processing devices. The electronic device in a vehicle may, for example, be any of an audio entertainment system, a vehicle navigation system, and a semi-autonomous or autonomous vehicle operations control system. One or more processors of the device, may detect physiological movement by controlling producing sensing signal(s) in a cabin of a vehicle housing the electronic device. The processor(s) control sensing, with a sensor, reflected signal(s) from the cabin. The processor(s) derive a physiological movement signal with the sensing signal and reflected signal and generate an output based on an evaluation of the derived physiological movement signal.

Abstract: A system and method for providing a unique signature for proprietary data. The proprietary data may be transmitted to multiple trusted parties. Each of the trusted parties will have proprietary data with a unique signature to that trusted party. The signature allows a user to determine the source of the proprietary data breach via the signature.

Abstract: Methods and devices provide physiological movement detection, such as gesture, breathing, cardiac and/or gross body motion, with active sound generation such as for an interactive audio device. The processor may evaluate, via a microphone coupled to the interactive audio device, a sensed audible verbal communication. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the generated sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique, to derive a physiological movement signal. The processor may generate, in response to the sensed audible verbal communication, an output based on an evaluation of the derived physiological movement signal.

Abstract: The disclosure provides methods for diagnosis or prediction of the likelihood of a subject experiencing obstructive sleep apnea, determined at least in part by measuring the degree of tongue fat in a subject using, e.g., thermal imaging, THz imaging or other multispectral imaging.

Abstract: A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.