Minute ventilation estimation based on depth maps

US8971985B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-8971985-B2
Application numberUS-201213486682-A
CountryUS
Kind codeB2
Filing dateJun 1, 2012
Priority dateJun 1, 2012
Publication dateMar 3, 2015
Grant dateMar 3, 2015

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Abstract

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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.

First claim

Opening claim text (preview).

What is claimed is: 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 tim…

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What does patent US8971985B2 cover?
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 pat…
Who is the assignee on this patent?
Bernal Edgar A, Mestha Lalit Keshav, Xu Beilei, and 1 more
What technology area does this patent fall under?
Primary CPC classification H04N7/181. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Mar 03 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).