Time Lapsable Motion Image Responsive to Features of Pathophysiologic Perturbations

• US 20140180722A1
• Filed: 02/28/2014
• Published: 06/26/2014
• Est. Priority Date: 11/14/2012
• Status: Abandoned Application

• Current Assignee: Lawrence A. Lynn
• Original Assignee: Lawrence A. Lynn
• Inventors: Lynn, Lawrence A., Hunt, Michael, Karasinir, Cihan, Lynn, Eric N., Podorozhansky, Andrey
• Application Number:
  US14/193,376
• Publication Number:
  US 20140180722A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

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.

Claims

1. 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.

2. The patient monitoring system of claim 1 wherein at least one perturbation comprises a rise of the biologic particle density.

3. The patient monitoring system of claim 2 wherein at least a first feature comprises at least one of, a beginning value, an end value, a peak value, a slope, a duration, a momentum, a percent change, or a magnitude of the rise.

4. The patient monitoring system of claim 1 wherein at least one perturbation comprises a fall of the biologic particle density.

5. The patient monitoring system of claim 4 wherein at least a first feature comprises at least one of a beginning value, an end value, a peak value, a slope, a duration, a momentum, a percent change, or a magnitude of the rise.

6. The patient monitoring system of claim 1 wherein a single perturbation is mapped onto a single cell and said single cell is responsive to changes of said single perturbation.

7. The patient monitoring system of claim 6 wherein said cells are comprised of organelles and a single feature of said single perturbation is mapped onto a single organelle and each said organelle is responsive to changes of said single feature.

8. The patient monitoring system of claim 6 wherein said single cell is mapped onto a single clinical region on a map and each of the clinical regions is responsive to changes of said cell.

9. The patient monitoring system of claim 8 wherein said single clinical region is mapped onto a single relational visualization and each said relational visualization is responsive to changes of said clinical region.

10. The patient monitoring system of claim 6 wherein a plurality of different cells are responsive to a corresponding plurality of different perturbations.

11. The patient monitoring system of claim 7 wherein a plurality of different organelles are responsive to a plurality of different features.

12. The patient monitoring system of claim 8 wherein a plurality of different clinical regions are responsive to a plurality of different cells.

13. The patient monitoring system of claim 9 wherein a plurality of relational visualizations are responsive to a plurality of different clinical regions.

14. The patient monitoring system of claim 11 wherein each of said plurality of different organelles is mapped to said single cell.

15. The patient monitoring system of claim 14 wherein each of the plurality of different organelles is responsive to each of a corresponding plurality of different features of said single perturbation.

16. The patient monitoring system of claim 15 wherein each of a plurality of different cells is responsive to each of a corresponding plurality of different perturbations.

17. The patient monitoring system of claim 10 wherein each of said plurality of different cells is mapped to each of a corresponding plurality of different clinical regions.

18. The patient monitoring system of claim 17 wherein each of the plurality of different clinical regions is mapped to said single relational visualization.

19. The patient monitoring system of claim 1 wherein the motion image changes over time at least in response to the addition of new cells.

20. The patient monitoring system of claim 1 wherein the entire motion image of a clinical condition is provided in a single time-lapsable relational visualization.

21. The patient monitoring system of claim 1 further comprising;

at least one processor programmed such that the relational visualization is configured so that motion image of the clinical condition appears to a user as similar to a storm on a color weather radar display.

22. The patient monitoring system of claim 21 wherein a name or a diagnosis of at least one clinical condition is positioned at a point or area on the map so that the motion image expands, develops or moves over, or adjacent to, the point or area when the relational visualization of the clinical condition is being generated.

23. The patient monitoring system as in claim 22 wherein at least one medical condition is represented on the map as a condition point or an area.

24. The patient monitoring system as in claim 23 wherein said medical condition point or area is fixed in or adjacent a center of the map.

25. The patient monitoring system as in claim 1 wherein sub-conditions of said medical condition are monitored and said sub-conditions are represented on the map.

26. The patient monitoring system as in claim 25 wherein the sub-conditions are represented as sub-condition points or areas on the map.

27. The patient monitoring system as in claim 26 wherein a sub-condition of a condition of a patient is displayed at a single fixed sub-condition point or area on the map.

28. The patient monitoring system as in claim 23 wherein perturbations associated with said medical condition are shown as one or more storm cells adjacent or over said condition point or area associated with that medical condition.

29. The patient monitoring system as in claim 26 wherein perturbations associated with a sub-condition are shown as one or more storm cells adjacent or over said sub-condition point or area associated with that sub-condition.

30. The patient monitoring system as in claim 1 wherein a patient condition is displayed on a substantially rectangular map.

31. The patient monitoring system as in claim 1 wherein said clinical regions are fixed.

32. The patient monitoring system as in claim 1 wherein borders are shown between the clinical regions.

33. The patient monitoring system as in claim 1 wherein the borders are substantially straight lines.

34. The patient monitoring system as in claim 33 wherein the borders are configured to be irregular and provide an appearance similar to borders between states or counties.

35. The patient monitoring system as in claim 1 wherein the map is divided into clinical regions which extend toward a central portion of the map.

36. The patient monitoring system as in claim 35 wherein the map is divided into generally triangular sections which all touch a common central area in a central portion of the map.

37. The patient monitoring system of claim 1 wherein the processor is programmed to:

determine at least one of a number, severities, or correlativities of said perturbations, features, and patterns of perturbations,

generate an image which displays a patient condition in the display map, the image being configured to appear to a user as an image of cells moving in relation to the map, wherein at least one of said perturbations, features, or patterns of perturbations is shown as a cell, the cell defining an area and at least one color, the area increasing and the at least one color changing in response to an increase of at least one of said number, severities, or correlativities.

38. The patient monitoring system as in claim 37 wherein the cell is comprised of rings of color, wherein each ring is indicative of at least one of said number, severities, or correlativities.

39. The patient monitoring system as in claim 38 wherein said rings of color are arranged within the cell such that the most severe or highly correlated ring of color is in a center of the cell and the least severe or least correlated ring of color is adjacent or comprises the outer edges.

40. The patient monitoring system as in claim 38 wherein said rings of color are ordered according to at least one of said number, severities, or correlativities.

41. The patient monitoring system as in claim 38 wherein a width of the rings of color are responsive to at least one of said number, severities, or correlativities.

42. The patient monitoring system as in claim 38 wherein a color of the rings of color are responsive at least one of said number, severities, or correlativities.

43. The patient monitoring system of claim 28 wherein the storm cell is shown when there is at least one property of at least one of the said perturbations, features, patterns of perturbations, or pattern of features that has been identified as meeting a minimum level of at least one of a number, severities, or correlativities.

44. The patient monitoring system as in claim 37 wherein the cell moves within the map according to changes in patterns of perturbations.

45. The patient monitoring system as in claim 44 wherein an amount of the movement of the cell is determined by at least one of the severity of the perturbations and patterns of perturbations.

46. The patient monitoring system of claim 1 wherein at least one cell may merge with another cell when they overlap or become proximate.

47. The patient monitoring system as in claim 46 wherein the merge comprises a single macro-cell which is composed of elements from each of the participating cells.

48. The patient monitoring system as in claim 47 wherein the merge comprises multiple centers within a single macro-cell.

49. The patient monitoring system of claim 35 wherein the display further comprises overlays to indicate or highlight elements within the map.

50. The patient monitoring system of claim 35 wherein at least one overlay is placed on the map by the processor to indicate a trend of a pattern of perturbations.

51. The patient monitoring system as in claim 35 wherein at least one overlay is placed on the map by the processor to indicate a trend toward recovery of a medical condition.

52. The patient monitoring system of claim 1 wherein the display comprises a two dimensional user-facing map and wherein time extends along an axis away from the user facing map so that each user-facing image on the two dimensional user-facing map comprises a segment of time along the image of the medical condition such that the map may be scrolled forward or backward over time to view different two dimensional images of the condition at different segments of time of the medical condition.

53. The patient monitoring system of claim 1 wherein the display comprises a two dimensional user-facing map and wherein time extends along one axis of the two dimensional map so that an image on the two dimensional user-facing map can extend over the entire duration of the medical condition.

54. The patient monitoring system of claim 1 wherein the display comprises a first two dimensional user-facing map and wherein time extends along an axis away from the user facing map so that each user-facing image on the first two dimensional user-facing map comprises a segment of time along a first motion image of the medical condition such that the first map may be scrolled forward or backward over time to view different two dimensional images of the medical condition at different segments of time of the medical condition,

the display further comprising a second two dimensional user-facing map wherein time extends along one axis of the second two dimensional map, a second motion image growing along the time axis over time, so that the second motion image on the second two dimensional user-facing map can extend over the entire duration of the medical condition, and

the first map being time linked with the second map so that a position of a static image along the first motion image at a single point or segment in time can be identified on the second motion image along the time axis so that the relationship and position of the static image in the first motion image to the second motion image is readily viewed.