Video-based estimation of heart rate variability

US8977347B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-8977347-B2
Application numberUS-201213532057-A
CountryUS
Kind codeB2
Filing dateJun 25, 2012
Priority dateJun 25, 2012
Publication dateMar 10, 2015
Grant dateMar 10, 2015

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Abstract

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What is disclosed is a video-based system and method for estimating heart rate variability from time-series signals generated from video images captured of a subject of interest being monitored for cardiac function. In a manner more fully disclosed herein, low frequency and high frequency components are extracted from a time-series signal obtained by processing a video of the subject being monitored. A ratio of the low and high frequency of the integrated power spectrum within these components is computed. Analysis of the dynamics of this ratio over time is used to estimate heart rate variability. The teachings hereof can be used in a continuous monitoring mode with a relatively high degree of measurement accuracy and find their uses in a variety of diverse applications such as, for instance, emergency rooms, cardiac intensive care units, neonatal intensive care units, and various telemedicine applications.

First claim

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What is claimed is: 1. A method for estimating heart rate variability from a video captured of a subject of interest, the method comprising: receiving a video captured of a target area of a region of exposed skin of a subject of interest where a photoplethysmographic (PPG) signal of said subject can be registered, said video comprising video images captured by a video camera; selecting a first batch of said video images for processing; identifying a first region of interest (R…

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What does patent US8977347B2 cover?
What is disclosed is a video-based system and method for estimating heart rate variability from time-series signals generated from video images captured of a subject of interest being monitored for cardiac function. In a manner more fully disclosed herein, low frequency and high frequency components are extracted from a time-series signal obtained by processing a video of the subject being moni…
Who is the assignee on this patent?
Mestha Lalit Keshav, Kyal Survi, Xu Beilei, and 2 more
What technology area does this patent fall under?
Primary CPC classification A61B5/02405. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Mar 10 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).