System and method for collection of fit data related to a selected mask
Inventors
Peake, Gregory Robert • ZLOMISLIC, Kristina Mira • FURLONG, Rowan Ben
Assignees
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Publication Number
US-11935252-B2
Publication Date
2024-03-19
Expiration Date
Abstract
A system and method to collect feedback data from a patient wearing an interface such as a mask when using a respiratory pressure therapy device such as a CPAP device. The system includes a storage device including a facial image of the patient. An interface in communication with the respiratory pressure therapy device collect operational data from when the patient uses the interface. A patient interface collects subjective patient input data from the patient in relation to the patient interface. An analysis module correlates a characteristic of the interface with the facial image data, operational data and subjective patient input data.
Core Innovation
A respiratory pressure therapy mask feedback system and method correlates patient facial image data with patient interface operational data and subjective patient input data for a respiratory pressure therapy device. Facial image data is captured from a patient using a mobile device with an application to capture facial images, and the captured facial image data is correlated with the patient. Operational data from the respiratory therapy device used by the patient with the patient interface is collected together with subjective patient input data in relation to the patient interface.
The method and system correlate a characteristic of the patient interface with the facial image data, operational data and subjective patient input data. Machine learning is applied to determine types of operational data, subjective data, and facial image data correlated with the characteristic, so that the characteristic of the patient interface is adjusted. The adjusted characteristic is directed toward improving outcomes associated with the patient interface while the patient uses the respiratory pressure therapy device.
The disclosed workflow supports adjusting mask/interface characteristics based on the correlated data, and can drive design changes through downstream design data and manufacturing systems. Design-to-manufacturing is described to produce modified patient interface components using design data provided to a manufacturing system, including processes supported by CAD/CAM and manufacturing systems. A feedback loop updates databases and the learning model using follow-up information.
Claims Coverage
The disclosed coverage includes two independent claims, a method and a system. Across these claims, there are six core inventive features that combine mobile facial image capture, collection of respiratory therapy operational data, collection of subjective patient input, correlation with a patient-interface characteristic, and machine learning to adjust that characteristic.
Machine-learned correlation of patient-interface characteristic
correlating a characteristic of the patient interface with the facial image data, operational data and subjective patient input data; and applying machine learning to determine types of operational data, subjective data, and facial image data correlated with the characteristic to adjust the characteristic of the patient interface.
Mobile facial image capture for correlation
capturing facial image data from a patient from a mobile device with an application to capture facial images; correlating the captured facial image data from the patient with the patient;
Collect operational and subjective patient input data
collecting operational data of the respiratory therapy device used by the patient with the patient interface; collecting subjective patient input data from the patient in relation to the patient interface;
Storage and interfaces for facial image, operational data, and subjective input
a storage device storing a facial image of the patient captured from the patient captured from a mobile device with an application to capture facial images; a data communication interface in communication with the respiratory pressure therapy device to collect operational data from when the patient uses the patient interface; a patient data collection interface that collects subjective patient input data from the patient in relation to the patient interface;
Analysis module correlating interface characteristic with multimodal data
an analysis module operable to correlate a characteristic of the patient interface with the facial image data, operational data and subjective patient input data;
Machine learning module to adjust patient-interface characteristic
a machine learning module operable to determine operational data, subjective data, and facial image data correlated with the characteristic to adjust the characteristic of the patient interface.
Both independent claims center on correlating a characteristic of a patient interface with mobile facial image data, respiratory-therapy operational data, and subjective patient input, and then using machine learning to determine correlated data types and adjust the patient-interface characteristic.
Stated Advantages
Adjusting the patient interface characteristic to prevent leaks based on contact between a facial surface and the patient interface.
Adjusting the patient interface characteristic to increase comfort based on contact between a facial surface and the patient interface.
Documented Applications
Collecting feedback data from a patient using a patient interface with a respiratory pressure therapy device by using facial image data, operational data, and subjective patient input.
Using the correlated facial image data, operational data, and subjective input to adjust patient interface characteristics of respiratory pressure therapy mask/interface components.
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