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 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: Automatic adjustment of an oral appliance, such as a mandibular repositioning device, is disclosed. Sensor data can be received from one or more sensors external to a user using the oral appliance. An adjustment associated with the oral appliance is determined using the sensor data, and an action can be taken to facilitate applying the determined adjustment. Such actions can include transmitting a signal to the oral appliance to effect the adjustment (e.g., using an actuator or onboard electrical stimulator), presenting adjustment parameters to help the user manually make the adjustment, activating actuators in an oral appliance storage receptacle the next time the oral appliance is stored, or other such actions. Adjustments can be made dynamically in real-time or asynchronously (e.g., between sleep sessions).

Abstract: A method of analyzing data related to use of a respiratory therapy system by a user comprises receiving a first type of data, determining a first value of a first parameter based at least in part on the first type of data, identifying a desired second type of data, transmitting a request for consent to receive the second type of data, and determining, based at least in part on the second type of data, a second value of the first parameter, a value of a second parameter, or both. The first type of data and the first parameter are related to the user's use of the respiratory therapy system. The identification of the second type of data is based at least in part on the first type of data, the first value of the first parameter, an accuracy of the first value of the first parameter, or any combination thereof.

Abstract: A method includes receiving first data associated with a first sleep session of a user. The method also includes determining a first set of sleep-related parameters associated with the first sleep session of the user based at least in part on the first data. The method also includes receiving second data associated with a second sleep session of the user. The method also includes determining a second set of sleep-related parameters associated with the second sleep session of the user based at least in part on the second data. The method also includes receiving third data associated with a variable condition. The method also includes causing one or more indications associated with the variable condition and the first sleep session, the second sleep session, or both to be communicated to the user.

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 system includes a memory storing a user profile for a user of the system and machine-readable instructions and a control system including one or more processors configured to execute the machine-readable instructions to receive physiological data associated with the user during a sleep session, determine, based at least in part on the received physiological data, a set of sleep-related parameters for the sleep session, subsequent to the sleep session, select one of the set of sleep-related parameters as a targeted parameter, the selection of the targeted parameter being based at least in part on the stored user profile, the set of sleep-related parameters, or both, and cause information to be communicated to the user via a user device, the information being indicative of the targeted parameter, a recommendation associated with improving the targeted parameter for the user in one or more subsequent sleep sessions, or both.

Abstract: A method includes receiving first physiological data associated with a user during a first sleep session. The method also includes receiving second physiological data associated with the user subsequent to the first sleep session and prior to a second sleep session. The method also includes determining a recommended bedtime for the user for the second sleep session based at least in part on the first physiological data, the second physiological data, or both. The method also includes causing an indication of the recommended bedtime for the second sleep session to be communicated to the user via a user device before the recommended bedtime.

Abstract: A system includes a sensor configured to generate data associated with movements of a resident for a period of time, a memory storing machine-readable instructions, and a control system arranged to provide control signals to one or more electronic devices. The control system also includes one or more processors configured to execute the machine-readable instructions to analyze the generated data associated with the movement of the resident, determine, based at least in part on the analysis, a likelihood for a fall event to occur for the resident within a predetermined amount of time, and responsive to the determination of the likelihood for the fall event satisfying a threshold, cause an operation of the one or more electronic devices to be modified.

Abstract: A system for predicting adoption of a prescribed treatment plan by an individual includes a data repository, a memory storing instruction, and a control system to execute the instructions. The data repository is communicatively coupled to a network and includes a plurality of storage devices storing data. The control system receives at least a portion of the data stored in the data repository. The at least a portion of the data is associated with the individual. The control system uses the machine learning adoption prediction algorithm to process the received at least a portion of the data to determine a likelihood that the individual will adopt the prescribed treatment plan. Based at least in part on (i) the prescribed treatment plan and (ii) the determined likelihood that the individual will adopt the prescribed treatment plan, the control system generates a personalized treatment adoption plan for the individual.

Abstract: A method includes receiving, from a first sensor, first physiological data associated with a first sleep session of a user. The method also includes receiving, from a sensor, second physiological data associated with a first sleep session of a user. The method also includes determining a first set of sleep-related parameters associated with the first sleep session of the user based at least in part on the first physiological data. The method also includes determining a second set of sleep-related parameters associated with the first sleep session of the user based at least in part on the second physiological data. The method also includes calibrating the second sensor based at least in part on a comparison between the first set of sleep-related parameters and the second set of sleep-related parameters.

Abstract: A system and method for monitoring the health of a patient is disclosed. The system includes a respiratory therapy device having a transmitter and an air control device to provide respiratory therapy to a patient. The respiratory therapy device collects operational data and transmits the collected operational data. A health analysis engine is in communication with the respiratory therapy device. The health analysis engine receives the collected data to determine a health condition of the patient based on the collected data. The respiratory therapy device sends either low or high resolution data to the health analysis engine. The high resolution data is transmitted based on the occurrence of an event detected based on the low resolution data.

Abstract: A method of providing gameplay experiences for users includes communicating with a plurality of game clients via a network, where each of the game clients is running a game application. The method further includes identifying a plurality of users of the game applications on the game clients, assigning each of the users to a team in a game instance, and assigning the users to one of a plurality of squads on the team. The method continues by initiating an activity mode in the game instance, where the activity mode includes assigning a different activity to each of the squads and tracking progress toward completion of each activity by users of the assigned squad. Upon satisfaction of the completion criteria of the activity mode, the method ends the activity mode and initiates an objective mode. The objective mode includes assigning an objective to the team.

Abstract: A method of providing gameplay experiences for users includes communicating with a plurality of game clients via a network, where each of the game clients is running a game application. The method further includes identifying a plurality of users of the game applications on the game clients, assigning each of the users to a team in a game instance, and assigning the users to one of a plurality of squads on the team. The method continues by initiating an activity mode in the game instance, where the activity mode includes assigning a different activity to each of the squads and tracking progress toward completion of each activity by users of the assigned squad. Upon satisfaction of the completion criteria of the activity mode, the method ends the activity mode and initiates an objective mode. The objective mode includes assigning an objective to the team.

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 sensor for physiology sensing may be configured to generate oscillation signals for emitting radio frequency pulses for range gated sensing. The sensor may include a radio frequency transmitter configured to emit the pulses and a receiver configured to receive reflected ones of the emitted radio frequency pulses. The received pulses may be processed to detect physiology characteristics such as motion, sleep, respiration and/or heartbeat. In some embodiments, the sensor may employ a circuit including a pulse generator configured to generate signal pulses. The circuit may also include a dielectric resonator oscillator configured to generate a radio frequency oscillating signal. A switched oscillation circuit may be coupled to the pulse generator and the dielectric resonator oscillator. The switched circuit may be configured to generate a pulsed radio frequency oscillating signal for emitting the radio frequency pulses.

Abstract: Methods and devices provide physiological movement detection, such as breathing, cardiac and/or gross body motion, with active sound generation using electronic processing device(s). 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 sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique. The sound signal may be produced as a dual tone frequency modulation continuous wave signal. Evaluation of detected movement information may determine sleep states or scoring, fatigue indications, subject recognition, chronic disease monitoring/prediction, and other output parameters.

Abstract: A sensor for physiology sensing may be configured to generate oscillation signals for emitting radio frequency pulses for range gated sensing. The sensor 402 may include a radio frequency transmitter configured to emit the pulses and a receiver configured to receive reflected ones of the emitted radio frequency pulses. The received pulses may be processed to detect physiology characteristics such as motion, sleep, respiration and/or heartbeat. In some embodiments, the sensor may employ a circuit including a pulse generator configured to generate signal pulses. The circuit may also include a dielectric resonator oscillator configured to generate a radio frequency oscillating signal. A switched oscillation circuit may be coupled to the pulse generator and the dielectric resonator oscillator. The switched circuit may be configured to generate a pulsed radio frequency oscillating signal for emitting the radio frequency pulses.

Abstract: A sensor for physiology sensing may be configured to generate oscillation signals for emitting radio frequency pulses for range gated sensing. The sensor 402 may include a radio frequency transmitter configured to emit the pulses and a receiver configured to receive reflected ones of the emitted radio frequency pulses. The received pulses may be processed to detect physiology characteristics such as motion, sleep, respiration and/or heartbeat. In some embodiments, the sensor may employ a circuit including a pulse generator configured to generate signal pulses. The circuit may also include a dielectric resonator oscillator configured to generate a radio frequency oscillating signal. A switched oscillation circuit may be coupled to the pulse generator and the dielectric resonator oscillator. The switched circuit may be configured to generate a pulsed radio frequency oscillating signal for emitting the radio frequency pulses.

Abstract: A sensor for physiology sensing may be configured to generate oscillation signals for emitting radio frequency pulses for range gated sensing. The sensor may include a radio frequency transmitter configured to emit the pulses and a receiver configured to receive reflected ones of the emitted radio frequency pulses. The received pulses may be processed to detect physiology characteristics such as motion, sleep, respiration and/or heartbeat. In some embodiments, the sensor may employ a circuit including a pulse generator configured to generate signal pulses. The circuit may also include a dielectric resonator oscillator configured to generate a radio frequency oscillating signal. A switched oscillation circuit may be coupled to the pulse generator and the dielectric resonator oscillator. The switched circuit may be configured to generate a pulsed radio frequency oscillating signal for emitting the radio frequency pulses.