Respiratory pattern analysis during variable positive air pressure delivery for spontaneously breathing patients
Inventors
Putman, John B. • Putman, Matthew C. • Orlando, Julie A.
Assignees
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Abstract
A positive airway pressure device includes a blower, a chamber, a sensor, and a controller. The controller is configured to perform operations. The operations include determining a baseline respiratory response for a patient. The operations further include initializing the blower to deliver a therapy pressure to the patient. The operations further include receiving, from the sensor, real-time respiratory response data while delivering therapy to the patient. The operations further include analyzing the real-time respiratory response data to determine whether a sleep disruption has occurred by comparing the real-time respiratory response data to the baseline respiratory response for the patient. The operations further include, based on the analyzing, determining that a sleep disruption has occurred based on an anomaly detected in the real-time respiratory response data. The operations further include, based on the determining, initiating an action to account for the sleep disruption.
Core Innovation
The invention is a positive airway pressure device and a method for detecting a sleep disruption during positive airway pressure delivery by using respiratory response data measured at the patient. The device includes a housing with a blower, a chamber configured to receive gas generated by the blower and output the gas to a patient via a patient connection port, and a sensor disposed in a gas pathway between the blower and the patient connection port. The sensor measures a pressure in the chamber, and a controller uses the measured data to determine patient-specific respiratory response characteristics.
The controller determines a baseline respiratory response for the patient by collecting respiratory response data for a plurality of pressure levels. The determining includes initializing the blower to deliver a first therapy pressure, collecting a first set of respiratory response data corresponding to the first therapy pressure, initializing the blower to deliver a second therapy pressure higher than the first therapy pressure, and collecting a second set of respiratory response data corresponding to the second therapy pressure. The controller analyzes the first set and second set of respiratory response data to identify the baseline respiratory response for the patient.
After establishing the baseline, the controller initializes the blower to deliver a therapy pressure and receives real-time respiratory response data while delivering therapy. The controller analyzes the real-time respiratory response data to determine whether a sleep disruption has occurred by comparing the real-time respiratory response data to the baseline respiratory response for the patient. The controller determines that a sleep disruption has occurred based on an anomaly detected in the real-time respiratory response data and initiates an action to account for the sleep disruption.
Claims Coverage
The document includes two independent claims: a positive airway pressure device claim and a method claim. Across the independent claims, there are two main inventive feature groups: determining a patient baseline respiratory response using respiratory response data collected for a plurality of pressure levels, and comparing real-time respiratory response data to the baseline to detect sleep disruption based on anomaly detection and initiating an action to account for the disruption.
Device with chamber pressure sensing in gas pathway
A positive airway pressure device comprising a housing with a blower, a chamber configured to receive gas generated by the blower and output the gas to a patient via a patient connection port, a sensor at least partially disposed in a gas pathway between the blower and the patient connection port configured to measure a pressure in the chamber, and a controller in communication with the blower and the sensor.
Patient baseline respiratory response across a plurality of pressure levels
Determining a baseline respiratory response for the patient by collecting, via the sensor, respiratory response data from the patient for a plurality of pressure levels, including delivering a first therapy pressure and collecting a first set of respiratory response data, delivering a second therapy pressure higher than the first therapy pressure and collecting a second set of respiratory response data, and analyzing the first set and the second set to identify the baseline respiratory response for the patient.
Real-time sleep disruption detection by comparing to baseline respiratory response
Receiving real-time respiratory response data while delivering therapy to the patient and analyzing the real-time respiratory response data to determine whether a sleep disruption has occurred by comparing the real-time respiratory response data to the baseline respiratory response for the patient, where sleep disruption is determined based on an anomaly detected in the real-time respiratory response data.
Initiating an action to account for the sleep disruption
Based on the determining that a sleep disruption has occurred, initiating an action to account for the sleep disruption.
Claim coverage centers on establishing a patient-specific baseline respiratory response using respiratory response data collected at multiple pressure levels, then detecting sleep disruption during real-time therapy by comparing real-time respiratory response data to the baseline and identifying anomaly-based deviations, and finally initiating an action to account for the sleep disruption.
Stated Advantages
Detects a sleep disruption by comparing real-time respiratory response data to a patient-specific baseline respiratory response and determining an anomaly in the real-time respiratory response data.
Accounts for the detected sleep disruption by initiating an action, including adjusting therapy pressure and/or notifying a clinician via an alert sent over one or more networks.
Documented Applications
Detecting sleep disruption during positive airway pressure delivery to spontaneously breathing patients by monitoring respiratory response data at multiple pressure levels and comparing real-time responses to a learned baseline.
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