Abstract:
Devices, systems, and methods are disclosed. The devices, systems, and methods detect one or more parameters with respect to movement of a user, cardiac activity of the user, audio associated with the user, or a combination thereof during a sleep session of the user; process the one or more parameters to determine a sleep status of the user, the sleep status being at least one of awake, asleep, or a sleep stage; and calculate an apnea-hypopnea index for the user during the sleep session based, at least in part, on the sleep status.
Abstract:
Method and apparatus obtain information about a patient and / or a respiratory therapy system that is configured to deliver respiratory therapy to the patient. The respiratory therapy system may include a flow generator configured to generate a supply of pressurized air along an air circuit to a patient interface. A sound signal representing a sound in the air circuit may be processed to obtain cepstrum data. A time series of delay estimates based on acoustic signatures of the cepstrum data may be generated. Each acoustic signature may represent a reflection of sound from a patient interface along the air circuit. Variation in the time series of delay estimates may be analysed. One or more output indicators based on the variation may be generated. The one or more output indicators may concern patient and/or system status.
Abstract:
Systems and methods are disclosed for categorizing and/or characterizing a user interface. The systems and methods include generating acoustic data associated with an acoustic reflection of an acoustic signal, the acoustic reflection being indicative of, at least in part, one or more features of a user interface coupled to a respiratory therapy device via a conduit. The systems and methods further include analyzing the generated acoustic data. The systems and methods further include categorizing and/or characterizing the user interface based, at least in part, on the analyzed acoustic data.
Abstract:
The present disclosure relates to a method for identifying a user interface. Flow data associated with air flowing in a respiratory therapy system is received. Acoustic data associated with the respiratory therapy system is received. The received flow data and the received acoustic data are analyzed. Based at least in part on the analysis, a mask type for the user interface is determined.
Abstract:
A system includes an electronic circuit, a memory, and a control system. The electronic circuit is coupled to a conduit. The conduit may be configured to deliver pressurized air. A portion of the electronic circuit has a first electrical property that is configured to change based at least in part on movement of the portion of the electronic circuit. The memory stores machine-readable instructions. The control system includes one or more processors configured to execute the machine-readable instructions. Data associated with the first electrical property of the electronic circuit is received. The received data is analyzed. Based at least in part on the analysis, it is determined that the first electrical property of the electronic circuit has changed. Responsive to the determination that the first electrical property of the electronic circuit has changed, it is determined that the conduit is moving or has moved.
Abstract:
A method for delivering a substance into an airway of a user via a respiratory system comprises receiving the substance within a receptacle; receiving physiological data; determining one or more sleep-related parameters based on the physiological data; and modifying the delivery of the substance into the airway of the user based at least in part on the one or more sleep-related parameters. The respiratory system includes a respiratory device configured to supply pressurized air to the airway of the user via a conduit and a user interface. The respiratory device, the user interface, and the conduit form an air pathway. The respiratory device is configured to include or engage the receptacle such that an outlet of the receptacle is in direct or indirect fluid communication with the air pathway.
Abstract:
Methods and devices provide physiological movement detection with active sound generation. In some versions, a processor may detect breathing and/or gross body motion. 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 user. The processor may process the reflected sound, such as by a demodulation technique. The processor may detect breathing from the processed reflected sound signal. The sound signal may be produced as a series of tone pairs in a frame of slots or as a phase-continuous repeated waveform having changing frequencies(e.g., triangular or ramp sawtooth). Evaluation of detected movement information may determine sleep states or scoring, fatigue indications, subject recognition, chronic disease monitoring/prediction, and other output parameters.
Abstract:
Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.