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Publication Number
US-12102444-B2
Publication Date
2024-10-01
Expiration Date
Abstract
Accordingly, systems and methods have been developed to monitor, diagnose, and predict the course of a wound to aid in determining whether a wound is properly healing. This includes systems and methods that may be performed by the patient in the home in some cases, and some that utilized sensors available on mobile devices. Thus, patients may be able to manage wounds at home without the intervention of caregivers and reduce the costs of admission to hospitals.
Core Innovation
The disclosed invention relates to monitoring a wound using a mobile camera, identifying wound pixels, and extracting a set of wound features to support determining a healing trajectory. The system receives a first image output from the camera, processes the portion of pixels representing the wound, and identifies a set of wound features. The extracted wound features are then used to determine and display the healing trajectory on a display.
The invention further integrates sleep quality metrics from a respiratory therapy device into wound monitoring. A respiratory therapy device outputs sleep quality metrics, and the system receives the sleep quality metrics from the respiratory therapy device. The healing trajectory is determined based on the set of wound features and the sleep quality metrics, thereby linking the wound features with sleep quality metrics to inform the displayed healing trajectory.
The method aspect uses multiple timestamped images to quantify wound changes over time while confirming that the images represent the same wound. The method receives a first image output from a camera with a first time stamp and a second image output from the camera with a second time stamp, determines a time period between the images, and processes both images to identify portions representing the wound. The method compares the wound identified in the first image and the second image to confirm it is the same wound, then determines a healing trajectory based on wound features from both images, the time period, and sleep quality metrics, and displays the healing trajectory on the display.
Claims Coverage
The partial claims include two independent claims. Across these claims, the inventive coverage centers on determining and displaying a healing trajectory from wound feature sets derived from camera images and sleep quality metrics from a respiratory therapy device, with additional coverage for using multiple timestamped images and confirming wound identity between images.
Camera-based wound pixel identification and wound feature extraction
A system that receives a first image output from a camera, processes the first image to identify a portion of the pixels within the first image that represents the wound, and processes the portion to identify a set of wound features.
Sleep quality metrics integration for healing trajectory determination
A system that receives sleep quality metrics from a respiratory therapy device and determines a healing trajectory based on the set of wound features and the sleep quality metrics, then displays the healing trajectory on the display.
Timestamped multi-image processing with same-wound confirmation
A method that receives a first image output from a camera with a first time stamp and a second image output from the camera with a second time stamp, compares the first time stamp and the second time stamp to determine a time period, processes the first and second images to identify portions representing the wound, and compares the wound identified in the first image and the second image to confirm it is the same wound.
Healing trajectory based on wound features, time period, and sleep quality metrics
A method that receives sleep quality metrics from a respiratory therapy device, determines a healing trajectory based on the first set of wound features, the second set of wound features, the time period, and the sleep quality metrics, and displays the healing trajectory on the display.
Overall claim coverage ties wound-monitoring feature extraction from camera images to sleep quality metrics from a respiratory therapy device to determine a displayed healing trajectory, and additionally includes processing of multiple timestamped images with confirmation that they represent the same wound.
Stated Advantages
Documented Applications
No documented applications found
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