Processing a video for vascular pattern detection and cardiac function analysis
First Claim
1. A method for determining a cardiac function parameter from a video of a subject of interest acquired in a non-contact remote sensing environment, the method comprising:
- receiving video of a region of exposed skin of the subject of interest being monitored for cardiac function, said video having been captured using a video system comprising at least one color video camera that outputs data comprising color values collected for color pixels by at least one visible channel, and at least one infrared (IR) video camera that outputs data comprising IR pixel intensity values collected for IR pixels by at least one infrared channel;
processing said IR pixel intensity values to generate a vascular binary mask that indicates the location of pixels corresponding with a vascular pathway of the said subject within said region of exposed skin;
registering said IR pixels with color pixels to isolate vascular pattern of the object in said video; and
processing pixels associated with said isolated vascular pattern to determine at least one cardiac function parameter for said subject, said processing comprising;
integrating information being carried by said color pixels and IR pixels along vessels of said vascular pattern with respect to time and obtaining a resulting signal;
normalizing said resulting signal with respect to a value derived from apriori knowledge of cardiac history of said subject;
converting said normalized signal to a time-series signal; and
isolating desired components of interest in said time-series signal via independent component selection.
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Abstract
What is disclosed is a non-contact system and method for determining cardiac function parameters from a vascular pattern identified from RGB and IR video signals captured simultaneously of a region of exposed skin of a subject of interest. In one embodiment, a video of a region of exposed skin is captured using a video camera that captures color values for pixels over visible channels and an IR camera that measures pixel intensity values in wavelength ranges of interest. Pixel intensity values are processed to generate a vascular binary mask that indicates pixel locations corresponding to the vascular pathways. The IR images are registered with corresponding data from the camera'"'"'s visible channels such that pixels that correspond to the vascular pattern can be isolated in each frame of the video of visible color data. Once processed, pixels associated with the isolated vascular patterns are analyzed to determine desired cardiac function parameters.
28 Citations
22 Claims
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1. A method for determining a cardiac function parameter from a video of a subject of interest acquired in a non-contact remote sensing environment, the method comprising:
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receiving video of a region of exposed skin of the subject of interest being monitored for cardiac function, said video having been captured using a video system comprising at least one color video camera that outputs data comprising color values collected for color pixels by at least one visible channel, and at least one infrared (IR) video camera that outputs data comprising IR pixel intensity values collected for IR pixels by at least one infrared channel; processing said IR pixel intensity values to generate a vascular binary mask that indicates the location of pixels corresponding with a vascular pathway of the said subject within said region of exposed skin; registering said IR pixels with color pixels to isolate vascular pattern of the object in said video; and processing pixels associated with said isolated vascular pattern to determine at least one cardiac function parameter for said subject, said processing comprising; integrating information being carried by said color pixels and IR pixels along vessels of said vascular pattern with respect to time and obtaining a resulting signal; normalizing said resulting signal with respect to a value derived from apriori knowledge of cardiac history of said subject; converting said normalized signal to a time-series signal; and isolating desired components of interest in said time-series signal via independent component selection. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 15, 16, 18, 19, 20, 22)
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12. A system for determining a cardiac function parameter from a video of a subject of interest acquired in a non-contact remote sensing environment, the system comprising:
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a video system comprising at least one video camera that outputs data comprising color values collected for color pixels by at least one visible channel, and at least one infrared (IR) video camera that outputs data comprising intensity values collected for IR pixels by at least one infrared channel; and a processor in communication with said video camera system and a memory, said processor executing machine readable instructions for performing; receiving video of a region of exposed skin of the subject of interest being monitored for cardiac function, said video having been captured using said video system; processing said IR pixel intensity values to generate a vascular binary mask that indicates the location of pixels corresponding with a vascular pathway of said subject within said region of exposed skin; registering said vascular binary mask with color pixels to isolate said vascular pattern of said subject in said video; and processing pixels associated with said isolated vascular pattern to determine at least one cardiac function parameter for said subject, said processing comprising; integrating information being carried by said color pixels and said IR pixels along vessels of said vascular pattern with respect to time and obtaining a resulting signal; normalizing said resulting signal with respect to a value derived from apriori knowledge of cardiac history of said subject; converting said normalized signal to a time-series signal; and isolating desired components of interest in said time-series signal via independent component selection. - View Dependent Claims (13, 14, 17, 21)
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Specification