Mobile Processing Device System for Patient Monitoring Data Acquisition

• US 20140098209A1
• Filed: 01/17/2013
• Published: 04/10/2014
• Est. Priority Date: 10/04/2012
• Status: Active Grant

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Neff, Robert A.
• Granted Patent: US 9,351,641 B2
• Time in Patent Office: Days
• US Class Current: 348/77
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: G06F 40/279 Recognition of textual entities
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06V 20/63 Scene text, e.g. street names
• CPC Class Codes: G06V 2201/02 Recognising information on displays, dials, clocks

Abstract

A mobile processing device system for patient monitoring data acquisition includes a repository of information. The information associates a particular patient monitoring device type for displaying a particular patient parameter with a particular text label identifying the particular patient parameter. A portable processing device includes an imaging device for acquiring image data representing an image presenting patient parameter data from the particular patient monitoring device type. An image recognition processor, uses the information, for analyzing the image data to identify the particular text label identifying the particular patient parameter and a value of the particular patient parameter. An output processor communicates data representing the particular patient parameter and the value to a destination.

Claims

1. A mobile processing device system for patient monitoring data acquisition, comprising:

a repository of information associating a particular patient monitoring device type for displaying a particular patient parameter with a particular text label identifying said particular patient parameter;

a portable processing device including an imaging device for acquiring image data representing an image presenting patient parameter data from the particular patient monitoring device type;

an image recognition processor, using said information, for analyzing said image data to identify said particular text label identifying said particular patient parameter and a value of said particular patient parameter; and

an output processor for communicating data representing said particular patient parameter and said value to a destination.

2. A system according to claim 1, wherein

said repository, said image recognition processor and said output processor are within said portable processing device.

3. A system according to claim 1, wherein

at least one of, said repository, said image recognition processor and said output processor are located remotely from said portable processing device.

4. A system according to claim 1, wherein

said repository of information associates said particular patient monitoring device type with a particular image type displayed by said device type and with a particular text label identifying said particular patient parameter presented in said particular image type and

said image recognition processor recognizes said particular image type of a plurality of different image types presented by said device type.

5. A system according to claim 1, wherein

said image recognition processor analyzes said image data to identify said particular text label using image data translation, rotation and scaling operations.

6. A system according to claim 1, wherein

said repository of information associates said particular patient monitoring device type with a particular image type displayed by said device type and with a particular text label identifying said particular patient parameter presented in said particular image type and with a mask identifying a particular area within said particular image containing said particular patient parameter and

said image recognition processor analyzes said image data to identify said particular patient parameter by using said mask to identify said particular area within said particular image containing said particular patient parameter.

7. A system according to claim 6, wherein

said image recognition processor analyzes said image data to recognize said patient parameter value in said particular area using at least one of, (a) an optical character recognition method and (b) one or more of image data translation, rotation and scaling operations.

8. A system according to claim 1, wherein

said repository of information associates said particular patient monitoring device type with a particular image type displayed by said device type and with a particular text label identifying said particular patient parameter presented in said particular image type and with a mask identifying a particular area within said particular image containing said particular text label and

said image recognition processor analyzes said image data to identify said particular text label by using said mask to identify said particular area within said particular image containing said particular text label.

9. A system according to claim 8, wherein

said image recognition processor analyzes said image data to recognize said particular text label in said particular area using at least one of, (a) an optical character recognition method and (b) one or more of image data translation, rotation and scaling operations.

10. A system according to claim 1, wherein

said repository of information associates said particular patient monitoring device type with a version identifier and a manufacturer identifier and

said image recognition processor analyzes said image data to identify said particular text label using data identifying said version identifier and said manufacturer identifier.

11. A system according to claim 1, wherein

said repository of information associates said particular patient monitoring device type with particular text labels including at least two of, HR, RR, NIBP, TEMP (TEMPERATURE) and

said image recognition processor analyzes said image data to identify at least one of said particular text labels.

12. A system according to claim 1, wherein

said information includes mapping information associating an identified particular patient parameter with a normal value range for a patient having similar demographic characteristics to said patient and

said image recognition processor validates identification of a label of said particular patient parameter in response to comparison of said identified particular patient parameter with said normal value range.

13. A system according to claim 12, wherein

said demographic characteristics comprise at least one of age, weight, gender, height and pregnancy status.

14. A method for acquiring patient monitoring data, comprising the activities of:

storing in a repository, information associating a particular patient monitoring device type for displaying a particular patient parameter with a particular text label identifying said particular patient parameter;

using an imaging device for acquiring image data representing an image presenting patient parameter data from the particular patient monitoring device type;

using said information, for analyzing said image data to identify said particular text label identifying said particular patient parameter and a value of said particular patient parameter; and

communicating data representing said particular patient parameter and said value to a destination.

15. A method according to claim 14, wherein

said information associates said particular patient monitoring device type with a particular image type displayed by said device type and with a particular text label identifying said particular patient parameter presented in said particular image type and including the activity of

recognizing said particular image type of a plurality of different image types presented by said device type.

16. A method according to claim 14, including the activity of

analyzing said image data to identify said particular text label using image data translation, rotation and scaling operations.

17. A method according to claim 14, wherein

said information associates said particular patient monitoring device type with a particular image type displayed by said device type and with a particular text label identifying said particular patient parameter presented in said particular image type and with a mask identifying a particular area within said particular image containing said particular patient parameter and including the activity of

analyzing said image data to identify said particular patient parameter by using said mask to identify said particular area within said particular image containing said particular patient parameter.

18. A method according to claim 17, including the activity of

analyzing said image data to recognize said patient parameter value in said particular area using at least one of, (a) an optical character recognition method and (b) one or more of image data translation, rotation and scaling operations.

19. A method according to claim 14, wherein

said information associates said particular patient monitoring device type with a particular image type displayed by said device type and with a particular text label identifying said particular patient parameter presented in said particular image type and with a mask identifying a particular area within said particular image containing said particular text label and including the activity of

analyzing said image data to identify said particular text label by using said mask to identify said particular area within said particular image containing said particular text label.

20. A method according to claim 19, including the activity of

analyzing said image data to recognize said particular text label in said particular area using at least one of, (a) an optical character recognition method and (b) one or more of image data translation, rotation and scaling operations.

21. A method according to claim 14, wherein

said information associates said particular patient monitoring device type with a version identifier and a manufacturer identifier and including the activity of

analyzing said image data to identify said particular text label using data identifying said version identifier and said manufacturer identifier.

22. A method according to claim 14, wherein

said information associates said particular patient monitoring device type with particular text labels including at least two of, HR, RR, NIBP, TEMP (TEMPERATURE) and including the activity of

analyzing said image data to identify at least one of said particular text labels.