Connected Healthcare Environment

• US 20190090744A1
• Filed: 02/28/2017
• Published: 03/28/2019
• Est. Priority Date: 02/29/2016
• Status: Abandoned Application

• Current Assignee: Mohamed R. Mahfouz
• Original Assignee: Mohamed R. Mahfouz
• Inventors: Mahfouz, Mohamed R.
• Application Number:
  US16/080,613
• Publication Number:
  US 20190090744A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 2034/105 Modelling of the patient, e.g. for ligaments or bones
• CPC Class Codes: A61B 2562/02 Details of sensors specially adapted for in-vivo measurements
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 34/20 Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/1036 Measuring load distribution, e.g. podologic studies
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/1122 of movement trajectories
• CPC Class Codes: A61B 5/1127 using markers
• CPC Class Codes: A61B 5/4528 Joints A61B5/4533, A61B5/4538 take precedence
• CPC Class Codes: A61B 5/4533 Ligaments
• CPC Class Codes: A61B 5/4538 Evaluating a particular part of the muscoloskeletal system or a particular medical condition
• CPC Class Codes: A61B 5/4585 Evaluating the knee
• CPC Class Codes: A61B 5/6828 Leg
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 6/461 Displaying means of special interest
• CPC Class Codes: A61B 8/461 Displaying means of special interest
• CPC Class Codes: G16H 10/40 : for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 10/60 : for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 30/20 : for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 50/50 : for simulation or modelling of medical disorders
• CPC Class Codes: G16H 80/00 : ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A connected healthcare environment comprising: (a) an electronic central data storage communicatively coupled to at least one database comprising at least one of a statistical anatomical atlas and a kinematic database; (b) a computer running software configured to generate instructions for displaying an anatomical model of a patient'"'"'s anatomy on a visual display; (c) a motion tracking device communicatively coupled to the computer and configured to transmit motion tracking data of a patient'"'"'s anatomy as the anatomy is repositioned, where the software is configured to process the motion tracking data and generate instructions for displaying the anatomical model in a position that mimics the position of the patient anatomy in real time.

Claims

1. A connected healthcare environment comprising:

an electronic central data storage communicatively coupled to at least one database comprising at least one of a statistical anatomical atlas and a kinematic database;

a computer running software configured to generate instructions for displaying an anatomical model of a patient'"'"'s anatomy on a visual display; and

,

a motion tracking device communicatively coupled to the computer and configured to transmit motion tracking data of a patient'"'"'s anatomy as the anatomy is repositioned;

wherein the software is configured to process the motion tracking data and generate instructions for displaying the anatomical model in a position that mimics the position of the patient anatomy in real time.

2. The connected healthcare environment of claim 1, wherein the at least one database comprises a statistical anatomical atlas.

3. The connected healthcare environment of claim 2, wherein the statistical anatomical atlas includes mathematical descriptions of at least one of bone, soft tissue, and connective tissue.

4. The connected healthcare environment of claim 3, wherein the mathematical descriptions are of bone, and the mathematical descriptions describe bones of an anatomical joint.

5. The connected healthcare environment of claim 3, wherein the mathematical descriptions are of bone, and the mathematical descriptions describe at least one of normal and abnormal bones.

6. The connected healthcare environment of claim 3, wherein the mathematical descriptions may be utilized to construct a virtual model of an anatomical feature.

7. The connected healthcare environment of claim 1, wherein the at least one database comprises a kinematic database.

8. The connected healthcare environment of claim 7, wherein the kinematic database includes motion data associated with at least one of normal and abnormal kinematics.

9. The connected healthcare environment of claim 8, wherein the kinematic database includes motion data associated with abnormal kinematics, and the motion data associated with abnormal kinematics includes a diagnosis for the abnormal kinematics.

10. The connected healthcare environment of any one of claims 1-9, wherein the motion tracking device includes an inertial measurement unit.

11. The connected healthcare environment of any one of claims 1-9, wherein the motion tracking device includes a plurality of inertial measurement unit.

12. The connected healthcare environment of either claim 10 or 11, wherein the motion tracking device includes ultrawide band electronics.

13. The connected healthcare environment of any of the foregoing claims, wherein the electronic central data storage is communicatively coupled to the computer.

14. The connected healthcare environment of claim 13, wherein the electronic central data storage is configured to receive motion tracking data from the computer.

15. The connected healthcare environment of claim 13, wherein the computer is configured to send motion tracking data to the electronic central data storage.

16. The connected healthcare environment of any of the foregoing claims, wherein the electronic central data storage stores patient medical records.

17. The connected healthcare environment of claim 16, further comprising a data acquisition station remote from, but communicatively coupled to, the electronic central data storage, the data acquisition station configured to access the stored patient medical records.

18. The connected healthcare environment of claim 17, wherein the stored patient medical records include a virtual anatomical model of a portion of the patient.

19. The connected healthcare environment of claim 18, wherein the virtual anatomical model is a dynamic model that reflects patient movement with respect to time.

20. The connected healthcare environment of any one of the foregoing claims, further comprising a machine learning data structure communicatively coupled to the electronic central data storage, the machine learning data structure configured to generate a diagnosis using the motion tracking data.

21. A healthcare system comprising:

a computer running software configured to generate instructions for displaying an anatomical model of a patient'"'"'s anatomy on a visual display; and

,

a motion tracking device communicatively coupled to the computer and configured to transmit motion tracking data of a patient'"'"'s anatomy as the anatomy is repositioned;

wherein the software is configured to process the motion tracking data and generate instructions for displaying the anatomical model in a position that mimics the position of the patient anatomy in real time; and

,

wherein the motion tracking device includes a display.

22. The healthcare system of claim 21, wherein the computer is communicatively coupled to a statistical anatomical atlas.

23. The healthcare system of claim 22, wherein the statistical anatomical atlas includes mathematical descriptions of at least one of bone, soft tissue, and connective tissue.

24. The healthcare system of claim 23, wherein the mathematical descriptions are of bone, and the mathematical descriptions describe bones of an anatomical joint.

25. The healthcare system of claim 23, wherein the mathematical descriptions are of bone, and the mathematical descriptions describe at least one of normal and abnormal bones.

26. The healthcare system of claim 23, wherein the mathematical descriptions may be utilized to construct a virtual model of an anatomical feature.

27. The healthcare system of claim 21, wherein the computer is communicatively coupled to a kinematic database.

28. The healthcare system of claim 27, wherein the kinematic database includes motion data associated with at least one of normal and abnormal kinematics.

29. The healthcare system of claim 28, wherein the kinematic database includes motion data associated with abnormal kinematics, and the motion data associated with abnormal kinematics includes a diagnosis for the abnormal kinematics.

30. The healthcare system of any one of claims 21-29, wherein the motion tracking device includes an inertial measurement unit.

31. The healthcare system of any one of claims 21-29, wherein the motion tracking device includes a plurality of inertial measurement unit.

32. The healthcare system of either claim 30 or 31, wherein the motion tracking device includes ultrawide band electronics.

33. The healthcare system of any of claims 21-32, further comprising an electronic central data storage communicatively coupled to the computer.

34. The healthcare system of claim 33, wherein the electronic central data storage is configured to receive motion tracking data from the computer.

35. The healthcare system of claim 33, wherein the computer is configured to send motion tracking data to the electronic central data storage.

36. The healthcare system of any of the claims 21-35, wherein the electronic central data storage stores patient medical records.

37. The healthcare system of claim 36, wherein the computer stores patient medical records that include a virtual anatomical model of a portion of the patient.

38. The healthcare system of claim 37, wherein the virtual anatomical model is a dynamic model that reflects patient movement with respect to time.

39. The healthcare system of any one of claims 21-38, further comprising a machine learning data structure communicatively coupled to the computer, the machine learning data structure configured to generate a diagnosis using the motion tracking data.

40. A method of acquiring medical data comprising:

mounting a motion tracking device to an anatomical feature of a patient, the motion tracking device including an inertial measurement unit;

tracking the anatomical feature with respect to time to generate position data and orientation data reflective of any movement of the anatomical feature;

visually displaying a virtual anatomical model of the anatomical feature, where the virtual anatomical model is dynamic and updated in real-time based upon the position data and orientation data to correspond to the position and orientation of the anatomical feature;

recording changes in the virtual anatomical model over a given period of time; and

,

generating a file embodying the virtual anatomical model and associated changes over the given period of time.