Contextual awareness of user interface menus
US-2024282062-A1 · Aug 22, 2024 · US
US8977347B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8977347-B2 |
| Application number | US-201213532057-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 25, 2012 |
| Priority date | Jun 25, 2012 |
| Publication date | Mar 10, 2015 |
| Grant date | Mar 10, 2015 |
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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.
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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…
Physics · mapped topic
Human Necessities · mapped topic
Human Necessities · mapped topic
Human Necessities · mapped topic
Human Necessities · mapped topic
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