Minute ventilation estimation based on depth maps
First Claim
1. A method for estimating minute ventilation from video captured of a subject of interest being monitored for respiratory function in a remote sensing environment, the method comprising:
- receiving a video of a target area of a thoracic region of a subject of interest being monitored for respiratory function; and
processing said video to obtain a depth map at inspiration and expiration within a same breathing cycle for a plurality of breathing cycles over time, comprising;
comparing images of said video to known spatial characteristics of undistorted projected patterns such that a spatial distortion of said patterns can be characterized, said spatial distortion having been introduced by a reflection of said patterns off a surface of said target area;
calculating depth maps Di and Dm from said spatial distortion, where Di and Dm are calculated at a maximum inspiration and a maximum expiration, respectively, said depth maps Di and Dm having a same dimension in pixels; and
estimating minute ventilation for said subject, comprising;
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Abstract
What is disclosed is a system and method for estimating minute ventilation by analyzing distortions in reflections of structured illumination patterns captured in a video of a thoracic region of a subject of interest being monitored for respiratory function. Measurement readings can be acquired in a few seconds under a diverse set of lighting conditions and provide a non-contact approach to patient respiratory function that is particularly useful for infant care in an intensive care unit (ICU), sleep studies, and can aid in the early detection of sudden deterioration of physiological conditions due to detectable changes in chest volume. The systems and methods disclosed herein provide an effective tool for non-contact minute ventilation estimation and respiratory function analysis.
48 Citations
20 Claims
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1. A method for estimating minute ventilation from video captured of a subject of interest being monitored for respiratory function in a remote sensing environment, the method comprising:
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receiving a video of a target area of a thoracic region of a subject of interest being monitored for respiratory function; and processing said video to obtain a depth map at inspiration and expiration within a same breathing cycle for a plurality of breathing cycles over time, comprising; comparing images of said video to known spatial characteristics of undistorted projected patterns such that a spatial distortion of said patterns can be characterized, said spatial distortion having been introduced by a reflection of said patterns off a surface of said target area; calculating depth maps Di and Dm from said spatial distortion, where Di and Dm are calculated at a maximum inspiration and a maximum expiration, respectively, said depth maps Di and Dm having a same dimension in pixels; and estimating minute ventilation for said subject, comprising; - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for estimating-minute ventilation from video captured of a subject of interest being monitored for respiratory function in a remote sensing environment, the system comprising:
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a memory; and a processor in communication with said memory, said processor executing machine readable instructions for performing the steps of; receiving a video of a target area of a thoracic region of a subject of interest being monitored for respiratory function; processing said video to obtain a depth map at inspiration and expiration within a same breathing cycle for a plurality of breathing cycles over time, comprising; comparing images of said video to known spatial characteristics of undistorted projected patterns such that a spatial distortion of said patterns can be characterized, said spatial distortion having been introduced by a reflection of said patterns off a surface of said target area; calculating depth maps Di and Dm from said spatial distortion, where Di and Dm are calculated at a maximum inspiration and a maximum expiration, respectively, said depth maps Di and Dm having a same dimension in pixels; and estimating minute ventilation for said subject, comprising; - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for estimating-minute ventilation from video captured of a subject of interest being monitored for respiratory function in a remote sensing environment, the method comprising:
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receiving a video of a target area of a thoracic region of a subject of interest being monitored for respiratory function; and processing said video to obtain a depth map at inspiration and expiration within a same breathing cycle for a plurality of breathing cycles over time, comprising; comparing images of said video to known spatial characteristics of undistorted projected patterns such that a spatial distortion of said patterns can be characterized, said spatial distortion having been introduced by a reflection of said patterns off a surface of said target area; calculating depth maps Di and Dm from said spatial distortion, where Di and Dm are calculated at a maximum inspiration and a maximum expiration, respectively, said depth maps Di and Dm having a same dimension in pixels; and estimating minute ventilation for said subject, comprising;
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Specification