Time Lapsable Motion Image Responsive to Features of Pathophysiologic Perturbations
AssigneeLawrence A. Lynn
InventorsLawrence A. Lynn, Michael Hunt, Cihan Karasinir, Eric N. Lynn, Andrey Podorozhansky
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Abstract
A patient monitoring system for generating dynamic relational visualizations of at least one clinical condition comprising a processor programmed to detect a plurality of perturbations of biologic particle densities associated with the clinical condition and to detect features of the perturbations and to generate cells of images responsive to the features. The system generates at least one motion image comprising the cells. New cells and the cells change, for example in color or position in response to changes in a medical condition.
Claims54
A patient monitoring system for generating dynamic visualizations of at least one clinical condition comprising a processor programmed to:
- receive data relating to biologic particles densities,
- detect a plurality of perturbations of the biologic particle densities associated with the clinical condition,
- detect or determine patterns of the perturbations,
- detect or determine features of the perturbations,
- detect or determine patterns of the features,
- generate cells of images responsive to at least one of the perturbations, features, patterns of perturbations, or patterns of the features,
- generate a display comprising a map with clinical regions to which perturbations correspond,
- aggregate the cells on or over the map within the clinical regions to which the perturbations corresponds,
- migrate, expand and/or emerge new cells in relation to the map within or across the regions overtime in response to changes in the features or the perturbations, and
- generate at least one time-lapsable motion image comprising the cells moving in relation to the map, the motion image changing over time in response to the detection of new perturbations and in response to changes of said patterns of the features of the perturbations, the image and the map providing a relational visualization responsive to changes of the medical condition.
Dependencies are inferred from the claim text.