PATIENT MONITORING METHOD AND SYSTEM

• US 20100262045A1
• Filed: 06/06/2008
• Published: 10/14/2010
• Est. Priority Date: 06/09/2007
• Status: Abandoned Application

• Current Assignee: Activ4Life Healthcare Technologies Limited
• Original Assignee: Activ4Life Healthcare Technologies Limited
• Inventors: Revie, Ian Crawford, Heaton, David William, Revie, Joy Margaret
• Application Number:
  US12/663,816
• Publication Number:
  US 20100262045A1
• Time in Patent Office: Days
• US Class Current: 600/595
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• 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 70/00 ICT specially adapted for the handling or processing of medical references

Abstract

The present invention relates to patient monitoring methods and patient monitoring systems for monitoring at least one aspect of a subject patient'"'"'s motion alone or with one or more additional patient subject related measurements. The patient monitoring method and system can be a useful clinical tool in the monitoring of patients, and in particular, although not exclusively orthopaedic patients, both pre-treatment and post treatment.

Claims

1. A patient monitoring method comprising:

monitoring motion of a subject patient and generating motion data indicative of at least one aspect of the subject'"'"'s motion;

processing said motion data to generate at least one statistical parameter of said data;

identifying a person type of the subject according to a plurality of characteristics;

accessing a database containing a plurality of stored, predetermined statistical parameters classified according to a plurality of said person types, each stored statistical parameter being a statistical parameter of motion data corresponding to a respective one of said plurality of person types and having been determined by a method comprising processing of motion data obtained by monitoring motion of at least one person having said respective one of said plurality of person types; and

processing at least one said generated statistical parameter and at least one of said stored statistical parameters corresponding to the person type of said subject patient.

2. A method in accordance with claim 1, wherein said processing at least one said generated statistical parameter and at least one of said stored statistical parameters corresponding to the person type of said subject patient comprises processing at least one said generated statistical parameter and at least one of said stored statistical parameters corresponding to the person type of said subject patient to determine a course of action for at least one of the subject and a medical practitioner.

3. A method in accordance with claim 1, wherein said monitoring motion of a subject patient comprises providing the subject with motion monitoring means to be worn or carried by the subject, the motion monitoring means being adapted to generate said motion data when worn or carried by the subject in response to motion of the subject.

4. A method in accordance with claim 3, wherein the motion monitoring means is adapted to detect steps taken by the subject and to generate motion data in response to each detected step.

5. A method in accordance with claim 3 wherein the motion monitoring means further comprises processing means for processing said motion data, and the step of processing said motion data comprises processing motion data with the processing means of the motion monitoring means.

6. A method in accordance with claim 3, further comprising the steps of transmitting motion data or processed motion data from the motion monitoring means and receiving the transmitted data at a remote location.

7. A method in accordance with claim 6, further comprising the steps of transmitting identification data indicative of an identity of the subject and receiving the transmitted identification data at the remote location.

8. A method in accordance with claim 6 wherein the motion monitoring means comprises a mobile telephone, and the step of transmitting comprises transmitting data from said mobile telephone.

9. A method in accordance with claim 1, wherein the generated at least one statistical parameter comprises at least one statistical parameter indicative of a respective one of the following, each associated with an aspect of the subject'"'"'s motion over a predetermined time interval:

a mean value;

a maximum value;

a minimum value;

a standard deviation; and

a mode value.

10. A method in accordance with claim 1, wherein said motion data comprises motion data indicative of times at which the subject takes a step.

11. A method in accordance with claim 10, wherein the generated at least one statistical parameter comprises at least one statistical parameter indicative of a respective one of the following:

a number of steps in a predetermined time interval;

a mean number of steps in a predetermined time interval;

a maximum number of steps in a predetermined time interval;

a minimum number of steps in a predetermined time interval;

a standard deviation of a number of steps in a predetermined time interval;

a mode value of a number of steps in a predetermined time interval;

a step symmetry;

a mean step symmetry in a predetermined time interval;

a maximum value of step symmetry in a predetermined time interval;

a minimum value of step symmetry in a predetermined time interval;

a standard deviation of step symmetry value in a predetermined time interval;

a mode value of step symmetry in a predetermined time interval;

a respective proportion of a predetermined time interval in which a step activity of the subject falls into at least one predetermined category;

a mean step interval in a predetermined time interval;

a maximum step interval in a predetermined time interval;

a minimum step interval in a predetermined time interval;

a standard deviation of step interval in a predetermined time interval; and

a mode value of step interval in a predetermined time interval.

12. A method in accordance with claim 1, wherein said plurality of characteristics comprises at least two of:

sex;

age;

body mass index;

perceived activity level type; and

surgical history.

13. A method in accordance with claim 1, further comprising providing a characteristics database containing data indicative of said subject'"'"'s identity and data indicative of said plurality of characteristics of the subject, and said identifying a person type of the subject comprises accessing said characteristics database.

14. A method in accordance with claim 1, wherein the step of processing at least one said generated statistical parameter and at least one of said stored statistical parameters comprises comparing at least one generated statistical parameter with a corresponding stored statistical parameter.

15. A method in accordance with claim 1, wherein the step of processing at least one said generated statistical parameter and at least one of said stored statistical parameters comprises using a computer-implemented algorithm.

16. A method in accordance with claim 1, wherein the step of processing at least one said generated statistical parameter and at least one of said stored statistical parameters comprises determining a cost associated with the subject patient according to the generated at least one statistical parameter, determining an expected cost associated with the person type of said subject according to the corresponding stored statistical parameter or parameters, determining a cost associated with an action, and determining a course of action according to said costs.

17. A method in accordance with claim 2, wherein the course of action comprises at least one action for the subject.

18. A method in accordance with claim 17, wherein said at least one action for the subject comprises a change in motion activity.

19. A method in accordance with claim 17, further comprising providing a signal to the subject, recommending said at least one action for the subject.

20. A method in accordance with claim 19, wherein the step of providing a signal to the subject comprises transmitting a signal.

21. A method in accordance with claim 19, wherein the step of providing the signal to the subject comprises making the signal available for access by the subject.

22. A method in accordance with claim 2, wherein the course of action comprises at least one action for a medical practitioner.

23. A method in accordance with claim 22, wherein said at least one action for the medical practitioner comprises:

surgery to be performed on the subject, visiting the subject, admission of the subject to a medical facility, or discharging the subject from a medical facility.

27. A method in accordance with claim 22, further comprising providing a signal to the medical practitioner, recommending said at least one action for the medical practitioner.

28. A method in accordance with claim 27, wherein the step of providing a signal to the medical practitioner comprises transmitting the signal to the practitioner.

29. A method in accordance with claim 27, wherein the step of providing the signal to the medical practitioner comprises making the signal available for access by the medical practitioner.

30. A method in accordance with claim 1, further comprising using at least one of the generated motion data and the generated at least one statistical parameter of the subject patient to update said database by modifying at least one stored statistical parameter corresponding to the person type of the subject.

31. A method in accordance with claim 1, further comprising populating said database with the plurality of stored, predetermined statistical parameters using a method comprising:

for each person type, identifying at least one person having that person type, monitoring motion of the identified at least one person and generating motion data indicative of at least one aspect of the motion of the at least one identified person, processing the motion data from the at least one identified person to generate at least one statistical parameter of that data, and storing the generated at least one statistical parameter of the motion data of the at least one identified person in the database, classified according to person type of the at least one identified person.

32. A method in accordance with claim 31, wherein the step of identifying at least one person for at least one of the plurality of said person types comprises identifying a plurality of persons having that person type.

24. (canceled)

25. (canceled)

26. (canceled)

33. A patient monitoring system comprising:

motion monitoring means adapted to monitor motion of a subject patient and generate motion data indicative of at least one aspect of the subject'"'"'s motion;

processing means arranged to process said motion data to generate at least one statistical parameter of said data;

identification means arranged to identify a person type of the subject according to a plurality of characteristics;

a database containing a plurality of stored, predetermined statistical parameters classified according to a plurality of said person types, each stored statistical parameter being an expected statistical parameter of motion data corresponding to a respective one of said plurality of person types; and

processing means arranged to process at least one said generated statistical parameter and at least one of said stored statistical parameters corresponding to the person type of said subject patient.

34. A system in accordance with claim 33, wherein the processing means arranged to process at least one said generated statistical parameter and at least one of said stored statistical parameters corresponding to the person type of said subject patient is further arranged to determine a course of action for at least one of the subject and a medical practitioner according to the processed statistical parameters.

35. A system in accordance with claim 33, wherein said motion monitoring means is adapted to be worn or carried by the subject, and is adapted to generate said motion data, when worn or carried by the subject, in response to motion of the subject.

36. A system in accordance with claim 35, wherein the motion monitoring means is adapted to detect steps taken by the subject and to generate motion data in response to each detected step.

37. A system in accordance with claim 35 wherein the motion monitoring means further comprises processing means adapted to process said motion data.

38. A system in accordance with claim 35, wherein the motion monitoring means further comprises transmitting means adapted to transmit motion data or processed motion data for reception at a remote location and the system further comprises receiving means arranged to receive the transmitted data at the remote location.

39. A system in accordance with claim 38, wherein the motion monitoring means is further adapted to store identification data indicative of an identity of the subject, and the transmitting means is adapted to transmit said identification data for reception at the remote location.

40. A system in accordance with claim 38 wherein the transmitting means is adapted to transmit data in a wireless signal.

41. A system in accordance with claim 34, wherein the generated at least one statistical parameter comprises at least one statistical parameter indicative of a respective one of the following, each associated with an aspect of the subject'"'"'s motion over a predetermined time interval:

a mean value;

a maximum value;

a minimum value;

a standard deviation; and

a mode value.

42. A system in accordance with claim 34, wherein said motion data comprises motion data indicative of times at which the subject takes a step.

43. A system in accordance with claim 34, further comprising a characteristics database containing data indicative of said subject'"'"'s identity and data indicative of said plurality of characteristics of the subject.

44. A system in accordance with claim 43, further comprising means for inputting identity data and characteristics data into the characteristics database.

45. A system in accordance with claim 43, wherein said plurality of characteristics comprises at least two of:

sex;

age;

body mass index;

perceived activity level type; and

surgical history.

46. A system in accordance with claim 34, wherein the processing means arranged to process at least one said generated statistical parameter and at least one of said stored statistical parameters is adapted to compare at least one generated statistical parameter with a corresponding stored statistical parameter.

47. A system in accordance with claim 34, wherein the processing means arranged to process at least one said generated statistical parameter and at least one of said stored statistical parameters is arranged to process said parameters using a predetermined algorithm.

48. A system in accordance with claim 34, wherein the processing means arranged to process at least one said generated statistical parameter and at least one of said stored statistical parameters is arranged to determine a course of action for at least one of the subject and a medical practitioner according to the processed statistical parameters, and is arranged to determine a cost associated with the subject patient according to the generated at least one statistical parameter, determine an expected cost associated with the person type of said subject according to the corresponding stored statistical parameter or parameters, determine a cost associated with an action, and determine a course of action according to said costs.

49. A system in accordance with claim 34, wherein the processing means arranged to process at least one said generated statistical parameter and at least one of said stored statistical parameters is arranged to determine a course of action for at least one of the subject and a medical practitioner according to the processed statistical parameters, and the course of action comprises at least one action for the subject.

50. A system in accordance with claim 49, wherein said at least one action for the subject comprises a change in motion activity.

51. A system in accordance with claim 49, wherein the system further comprises signalling means adapted to provide a signal to the subject, the signal recommending said at least one action for the subject.

52. A system in accordance with claim 34, wherein the processing means arranged to process at least one said generated statistical parameter and at least one of said stored statistical parameters is arranged to determine a course of action for at least one of the subject and a medical practitioner according to the processed statistical parameters, and the course of action comprises at least one action for a medical practitioner.

53. A system in accordance with claim 52, wherein the system further comprises signalling means adapted to provide a signal to a medical practitioner, recommending said at least one action for the medical practitioner.

54. A system in accordance with claim 34, further comprising processing means adapted to update said database by modifying at least one stored statistical parameter corresponding to the person type of the subject using at least one of the generated motion data and the generated at least one statistical parameter.

55. (canceled)

56. (canceled)