REMOVING ENVIRONMENT FACTORS FROM SIGNALS GENERATED FROM VIDEO IMAGES CAPTURED FOR BIOMEDICAL MEASUREMENTS
First Claim
1. A method for removing environmental factors from signals generated from video images captured by a non-contact imaging system in a remote sensing environment, the method comprising:
- receiving video images captured of a subject of interest, said video comprising a time varying source video image acquired over at least one imaging channel;
segmenting said video images into a first region of interest comprising a localized area where plethysmographic signals of said subject can be registered and a second region of interest comprising a localized area where said subject'"'"'s plethysmographic signals cannot be registered, both of said first and second regions being exposed to the same environmental factors;
pre-processing said video images to generate a time-series signal for each of said first and second regions;
subtracting said time-series signal corresponding to each of said first and second regions to obtain an environmentally compensated signal; and
communicating said environmentally compensated signal to a computer system.
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Accused Products
Abstract
What is disclosed is a system and method for automatically removing undesirable periodic or random background noise from heart rate measurement signals obtained from a video camera, ambient illuminator and other unknown electromagnetic sources to improve the overall reliability of biomedical measurements. In one embodiment, a time varying video image acquired over at least one imaging channel of a subject of interest is received. The video images are then segmented into a first region comprising a localized area where plethysmographic signals of the subject can be registered and a second region comprising a localized area of the environment where the plethysmographic signals cannot be registered. Both of the regions are exposed to the same environmental factors. The segmented video signals are pre-processed and the processed signals are subtracted from each other to generate an environmentally compensated signal. The environmentally compensated signal is then communicated to a computer system.
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Citations
25 Claims
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1. A method for removing environmental factors from signals generated from video images captured by a non-contact imaging system in a remote sensing environment, the method comprising:
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receiving video images captured of a subject of interest, said video comprising a time varying source video image acquired over at least one imaging channel; segmenting said video images into a first region of interest comprising a localized area where plethysmographic signals of said subject can be registered and a second region of interest comprising a localized area where said subject'"'"'s plethysmographic signals cannot be registered, both of said first and second regions being exposed to the same environmental factors; pre-processing said video images to generate a time-series signal for each of said first and second regions; subtracting said time-series signal corresponding to each of said first and second regions to obtain an environmentally compensated signal; and communicating said environmentally compensated signal to a computer system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system for removing environmental factors from signals generated from video images captured by a non-contact imaging system in a remote sensing environment, the system comprising:
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an imaging sensor for acquiring a time varying source video image acquired over at least one imaging channel; and a processor in communication with said imaging sensor and a memory, said processor executing machine readable instructions for performing; receiving video images captured of a subject of interest using said sensor; segmenting said video images into a first region of interest comprising a localized area where plethysmographic signals of said subject can be registered and a second region of interest comprising a localized area where said subject'"'"'s plethysmographic signals cannot be registered, both of said first and second regions being exposed to the same environmental factors; pre-processing said video images to generate a time-series signal for each of said first and second regions; subtracting said time-series signal corresponding to each of said first and second regions to obtain an environmentally compensated signal; and communicating said environmentally compensated signal to a computer system. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A computer implemented method for removing environmental factors from signals generated from video images captured by a non-contact imaging system in a remote sensing environment, the method comprising:
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receiving video images captured of a subject of interest, said video comprising a time varying source video image acquired over at least one imaging channel, said acquired source video image comprising any combination of;
NIR images, RGB images, RGB and NIR images, multi-spectral images, and hyperspectral video images;segmenting said video images into a first region of interest comprising a localized area where plethysmographic signals of said subject can be registered and a second region of interest comprising a localized area where said subject'"'"'s plethysmographic signals cannot be registered, both of said first and second regions being exposed to the same environmental factors; pre-processing said video images to generate a normalized time-series signal for each of said first and second regions, said pre-processing including performing at least one of;
a source separation with blind source separation, and a constrained source separation;subtracting said normalized time-series signal corresponding to each of said first and second regions to obtain an environmentally compensated signal; and communicating said environmentally compensated signal to a computer system. - View Dependent Claims (24, 25)
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Specification