Processing a video for tidal chest volume estimation
US-9226691-B2 · Jan 5, 2016 · US
US12016674B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12016674-B2 |
| Application number | US-202217662544-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 9, 2022 |
| Priority date | Feb 19, 2016 |
| Publication date | Jun 25, 2024 |
| Grant date | Jun 25, 2024 |
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The present invention relates to the field of medical monitoring, and in particular non-contact, video-based monitoring of pulse rate, respiration rate, motion, and oxygen saturation. Systems and methods are described for capturing images of a patient, producing intensity signals from the images, filtering those signals to focus on a physiologic component, and measuring a vital sign from the filtered signals. Examples include flood fill methods and skin tone filtering methods.
Opening claim text (preview).
What is claimed is: 1. A video-based patient monitoring system configured for measuring a patient's vital sign, comprising: a video camera configured to transmit a video signal having a field of view; a processor operatively connected with the video camera, the processor being programmed with computer readable instructions that, when executed, cause the processor to: receive the video signal from the video camera; identify a first seed point in the field of view; flood fill in the video signal a first contiguous region from the first seed point to a boundary; extract a first intensity signal from the first contiguous region; measure a vital sign from the first intensity signal; and dynamically update the contiguous region over time, including tracking the first seed point and updating the first contiguous region to create a dynamically morphing contiguous region. 2. The video-based patient monitoring system of claim 1 , further comprising: a display operatively connected with the video camera and the processor, the display being configured to display the video signal, the contiguous region, a number derived from the measured vital sign, or any combination thereof. 3. The video-based patient monitoring system of claim 1 , wherein flood filling the contiguous region comprises identifying, adjacent the first seed point, neighboring pixels or regions that share a common characteristic with the first seed point, until the boundary is reached. 4. The video-based patient monitoring system of claim 1 , wherein identifying the first seed point comprises recognizing a facial feature and locating the first seed point relative to the recognized facial feature. 5. The video-based patient monitoring system of claim 1 , wherein extracting the intensity signal comprises extracting two time-varying color signals, and wherein measuring the vital sign comprises measuring oxygen saturation from the two time-varying color signals. 6. The video-based patient monitoring system of claim 1 , wherein identifying the first seed point comprises receiving a user input locating the first seed point. 7. The video-based patient monitoring system of claim 1 , wherein the vital sign comprises pulse rate, and wherein measuring the vital sign comprises identifying a frequency content of the intensity signal, and measuring the pulse rate from the frequency content. 8. The video-based patient monitoring system of claim 1 , wherein the first seed point comprises a dynamic seed point, and wherein dynamically updating comprises re-generating the contiguous region from the dynamic seed point at a regular time interval. 9. The video-based patient monitoring system of claim 1 , wherein the first seed point comprises a dynamic seed point, and wherein dynamically updating comprises re-generating the contiguous region as the dynamic seed point moves within the image frame. 10. The video-based patient monitoring system of claim 1 , wherein the processor is further programmed with computer readable instructions that, when executed, cause the processor to: identify a second seed point on the patient; flood fill a second contiguous region from the second seed point; utilize the second contiguous region to extract a second intensity signal; and measure a second vital sign from the second intensity signal. 11. The video-based patient monitoring system of claim 10 , wherein the first vital sign comprises pulse rate and the second vital sign comprises SpO2. 12. The video-based patient monitoring system of claim 10 , wherein the first and second vital signs are both measurements of pulse rate, and further comprising outputting the first vital sign, or the second vital sign, or a combination of both. 13. A video-based patient monitoring system configured for measuring a patient's vital sign, comprising: a video camera configured to transmit a video signal having a field of view; a display; a processor operatively connected with the video camera and the display, the processor being programmed with computer readable instructions that, when executed, cause the processor to: receive the video signal from the video camera; identify a first seed point in the field of view; flood fill a first contiguous region from the first seed point to a boundary; utilize the first contiguous region to identify a target region that is fully contained within the first contiguous region, wherein the target region defines a perimeter that excludes edges of the first contiguous region; extract a first intensity signal from the target region; measure a vital sign from the first intensity signal; display a number derived from the measured vital sign; and dynamically update the contiguous region over time, including tracking the first seed point and updating the flood field to create a dynamically morphing contiguous region. 14. The video-based patient monitoring system of claim 13 , wherein flood filling the contiguous region comprises identifying, adjacent the first seed point, neighboring pixels or regions that share a common characteristic with the first seed point, until the boundary is reached. 15. The video-based patient monitoring system of claim 13 , wherein identifying the first seed point comprises recognizing a facial feature and locating the first seed point relative to the recognized facial feature or receiving a user input locating the first seed point. 16. The video-based patient monitoring system of claim 13 , wherein extracting the first intensity signal comprises extracting two time-varying color signals, and wherein measuring the vital sign comprises measuring oxygen saturation from the two time-varying color signals. 17. The video-based patient monitoring system of claim 13 , wherein utilizing the first contiguous region to identify the target region comprises determining a range of color or intensity values within the contiguous region, setting a skin tone filter with the range, and applying the skin tone filter to the video signal, and wherein the skin tone filter outputs the target region. 18. The video-based patient monitoring system of claim 13 , wherein the vital sign comprises pulse rate, and wherein measuring the vital sign comprises identifying a frequency content of the intensity signal, and measuring the pulse rate from the frequency content. 19. The video-based patient monitoring system of claim 13 , wherein the first seed point comprises a dynamic seed point, and wherein dynamically updating comprises regenerating the contiguous region from the dynamic seed point at a regular time interval. 20. The video-based patient monitoring system of claim 13 , wherein the first seed point comprises a dynamic seed point, and wherein dynamically updating comprises regenerating the contiguous region as the dynamic seed point moves within the image frame.
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for measuring blood gases (A61B5/14551 takes precedence) · CPC title
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