INFORMATION PROCESSING FOR A BODY MOTION SIGNAL

• US 20120209149A1
• Filed: 03/29/2012
• Published: 08/16/2012
• Est. Priority Date: 09/30/2009
• Status: Active Grant

• Current Assignee: LSI Medience Corporation (PHC Holdings Corporation)
• Original Assignee: Mitsubishi Chemical Corporation (Mitsubishi Chemical Group Corp.)
• Inventors: YONEYAMA, Mitsuru, Mitoma, Hiroshi
• Granted Patent: US 9,050,033 B2
• Time in Patent Office: Days
• US Class Current: 600/595
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/4082 Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
• CPC Class Codes: A61B 5/7242 using integration
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence

Abstract

An information processing method includes the following steps: applying a pattern matching process on the body motion signal information, and extracting rhythm cycle candidate waves which are rhythm cycle candidates related to the rhythmic motion; performing −1 or more times integration on the body motion signal information to obtain a motion trajectory, and performing coarse-graining on the motion trajectory to produce an auxiliary wave; superimposing the rhythm cycle candidate waves which are extracted in the process of extracting the cycle candidate waves, on the obtained auxiliary wave, and selecting a cycle of a rhythm cycle candidate wave which has a peak in the auxiliary wave, as a true cycle; and finally obtaining a result of the processing.

Claims

1. An information processing method for a body motion signal in an information processing apparatus for performing information processing on body motion signal information which is obtained by an operation in which a subject carries a body motion signal detecting apparatus having a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body and for extracting a result obtained in the information processing, the information processing including following steps of (1) to (3):

(1) a cycle candidate extracting step of applying a pattern matching process on the body motion signal information, and extracting a rhythm cycle candidate wave as rhythm cycle candidates related to the rhythmic motion;

(2) an auxiliary-wave producing step of performing −

1 or more times integration on the body motion signal information to obtain a motion trajectory, and performing coarse-graining on the motion trajectory to produce an auxiliary wave; and

(3) a cycle selecting step of superimposing the rhythm cycle candidate wave which is extracted in the cycle candidate extracting step, on the auxiliary wave which is obtained in the auxiliary wave producing step, and selecting a cycle of a rhythm cycle candidate wave which has a peak in the auxiliary wave, as a true cycle.

2. The information processing method for the body motion signal according to claim 1, wherein,

in the cycle selecting extracting step, a cycle of a rhythm cycle candidate wave which has a maximum peak in the auxiliary wave is selected as the true cycle.

3. The information processing method for the body motion signal according to claim 1, wherein

the body motion signal information is acceleration signal information of a body motion which is obtained by a three-axis acceleration sensor serving as the body motion signal detection section.

4. The information processing method for the body motion signal according to claim 1, wherein

the information processing apparatus is disposed separately from the body motion signal detecting apparatus,

the body motion signal detecting apparatus includes an information collection section which is disposed detachably from the body motion signal detecting apparatus, and which records the body motion signal information,

the information processing apparatus includes an information import section which imports the body motion signal information recorded in the information collection section, and

the body motion signal information recorded in the information collection section which is detached from the body motion signal detecting apparatus, and in which the body motion signal information is recorded are imported through the information import section of the information processing apparatus.

5. The information processing method for the body motion signal according to claim 1, wherein

the information processing apparatus is disposed separately from the body motion signal detecting apparatus,

the body motion signal detecting apparatus includes an information collection section which records the body motion signal information,

the information processing apparatus includes an information import section which imports the body motion signal information recorded in the information collection section through communicating means, and

the body motion signal information is once stored in the information collection section, and then transmitted to the information import section of the information processing apparatus through the communicating means.

6. The information processing method for the body motion signal according to claim 1, wherein

the information processing apparatus is disposed separately from the body motion signal detecting apparatus, and

the result extracted by the information processing apparatus is transmitted to the subject through the body motion signal detecting apparatus.

7. The information processing method for the body motion signal according to claim 1, wherein

the repetitive rhythmic motion is a gait.

8. The information processing method for the body motion signal according to claim 1, wherein

a severity of Parkinson'"'"'s disease is evaluated from the result extracted by the information processing apparatus.

26. A body motion signal detecting apparatus which is to be used in the information processing method for the body motion signal as defined in claim 1.

27. A method of detecting a body motion signal for obtaining a body motion signal to be used in the information processing method for the body motion signal as defined in claim 1.

28. An outputting apparatus which is used for outputting the result obtained by the information processing method for the body motion signal as defined in claim 1.

29. An outputting method for outputting the result obtained by the information processing method for the body motion signal as defined in claim 1.

9. An information processing system for a body motion signal, the information processing system comprising:

a body motion signal detecting apparatus which detects body motion signal information by a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body by an operation in which a subject carries the body motion signal detection section; and

an information processing apparatus which performs information processing on the body motion signal information obtained in the body motion signal detecting apparatus and extracts a result obtained by the information processing, wherein

the information processing apparatus includes;

a cycle candidate extraction section which applies a pattern matching process on the body motion signal information to extract a rhythm cycle candidate wave as rhythm cycle candidates related to the rhythmic motion;

an auxiliary-wave production section which performs −

1 or more times integration on the body motion signal information to obtain a motion trajectory, and which performs coarse-graining on the motion trajectory, thereby producing an auxiliary wave; and

a cycle selection section which superimposes the rhythm cycle candidate wave that is extracted by the cycle candidate extraction section, on the auxiliary wave that is produced by the auxiliary-wave production section, and which selects a cycle of a rhythm cycle candidate wave that has a peak in the auxiliary wave, as a true cycle.

10. The information processing system for the body motion signal according to claim 9, wherein

the cycle selection section selects a cycle of a rhythm cycle candidate wave that has a maximum peak in the auxiliary wave, as the true cycle.

11. The information processing system for the body motion signal according to claim 9, wherein

the information processing apparatus is disposed separately from the body motion signal detecting apparatus,

the body motion signal detecting apparatus includes an information collection section which is disposed detachably from the body motion signal detection section, and which records the body motion signal information, and

the information processing apparatus includes an information import section which imports, for the information processing, the body motion signal information from the information collection section which is detached from the body motion signal detecting apparatus, and in which the body motion signal information is recorded.

12. The information processing system for the body motion signal according to claim 9, wherein

the body motion signal detecting apparatus and the information processing apparatus are connected to each other through communicating means,

the body motion signal detecting apparatus includes an information collection section which records the body motion signal information, and

the information processing apparatus includes an information import section which imports the body motion signal information that is transmitted through the communicating means, and that is stored in the information collection section.

13. The information processing system for the body motion signal according to claim 9, wherein

the body motion signal detecting apparatus is disposed separately from the information processing apparatus, and

the body motion signal detecting apparatus includes a transmission section which transmits the result extracted by the information processing apparatus to the subject.

14. The information processing system for the body motion signal according to claim 9, wherein

the body motion signal detecting apparatus is disposed integrally with the information processing apparatus, and configured to be portable with the subject.

15. The information processing system for the body motion signal according to claim 9, comprising

an output section which outputs the result extracted by the information processing apparatus.

16. The information processing system for the body motion signal according to claim 9, comprising

an evaluating apparatus which evaluates a severity of Parkinson'"'"'s disease from the result extracted by the information processing apparatus.

17. An information processing apparatus for performing information processing on a body motion signal which is obtained by an operation in which a subject carries a body motion signal detecting apparatus including a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body, and for extracting a result obtained by the information processing, the information processing apparatus comprising:

a cycle candidate extraction section which applies a pattern matching process on the body motion signal information to extract a rhythm cycle candidate wave that is rhythm cycle candidates related to the rhythmic motion;

an auxiliary-wave production section which performs −

1 or more times integration on the body motion signal information to obtain a motion trajectory, and which performs coarse-graining on the motion trajectory, thereby producing an auxiliary wave; and

a cycle selection section which superimposes the rhythm cycle candidate wave that is extracted by the cycle candidate extraction section, on the auxiliary wave that is produced by the auxiliary-wave production section, and which selects a cycle of a rhythm cycle candidate wave that has a peak in the auxiliary wave, as a true cycle.

18. The information processing apparatus for the body motion signal according to claim 17, wherein

the cycle selection section selects a cycle of a rhythm cycle candidate wave that has a maximum peak in the auxiliary wave, as the true cycle.

19. The information processing apparatus for the body motion signal according to claim 17, wherein

an evaluation device which evaluates a severity of Parkinson'"'"'s disease from the result extracted by the information processing apparatus is attached to the information processing apparatus.

20. A displaying apparatus, comprising

a display section which displays the result obtained in the information processing apparatus as defined in claim 17.

21. A displaying method, comprising

a displaying step of displaying the result obtained in the information processing apparatus as defined in claim 17, on a display section.

22. A computer-readable recording medium which records a program to be used in an information processing method for a body motion signal in an information processing apparatus for performing information processing including desired process steps on body motion signal information which is obtained by an operation in which a subject carries a body motion signal detecting apparatus having a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body, and for extracting a result obtained in the information processing, the program causing a computer to execute:

a cycle candidate extracting step of applying a pattern matching process on the body motion signal information, and extracting a rhythm cycle candidate wave as rhythm cycle candidates related to the rhythmic motion;

an auxiliary-wave producing step of performing −

1 or more times integration on the body motion signal information to obtain a motion trajectory, and performing coarse-graining on the motion trajectory to produce an auxiliary wave; and

a cycle selecting step of superimposing the rhythm cycle candidate wave which is extracted in the cycle candidate extracting step, on the auxiliary wave which is obtained in the auxiliary wave producing step, and selecting a cycle of a rhythm cycle candidate wave which has a peak in the auxiliary wave, as a true cycle.

23. The computer-readable recording medium according to claim 22, wherein,

the computer is caused to execute the cycle selecting step in which a cycle of a rhythm cycle candidate wave which has a maximum peak in the auxiliary wave is selected as the true cycle.

24. A program which is to be used in an information processing method for a body motion signal in an information processing apparatus for performing information processing including desired process steps on body motion signal information which is obtained by an operation in which a subject carries a body motion signal detecting apparatus having a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body, and extracting a result obtained in the information processing, the program causing a computer to execute:

a cycle candidate extracting step of applying a pattern matching process on the body motion signal information, and extracting a rhythm cycle candidate wave as rhythm cycle candidates related to the rhythmic motion;

an auxiliary-wave producing step of performing −

1 or more times integration on the body motion signal information to obtain a motion trajectory, and performing coarse-graining on the motion trajectory to produce an auxiliary wave; and

a cycle selecting step of superimposing the rhythm cycle candidate wave which is extracted in the cycle candidate extracting step, on the auxiliary wave which is obtained in the auxiliary wave producing step, and selecting a cycle of a rhythm cycle candidate wave which has a peak in the auxiliary wave, as a true cycle.

25. The program according to claim 24, wherein

the computer is caused to execute the cycle selecting step in which a cycle of a rhythm cycle candidate wave which has a maximum peak in the auxiliary wave is selected as the true cycle.

30. A diagnosing method of diagnosing an illness in an information processing apparatus for performing information processing on body motion signal information which is obtained by an operation in which a subject carries a body motion signal detecting apparatus having a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body and for extracting a result obtained in the information processing, the information processing including following steps of (1) to (3):

(1) a cycle candidate extracting step of applying a pattern matching process on the body motion signal information, and extracting a rhythm cycle candidate wave as rhythm cycle candidates related to the rhythmic motion;

(2) an auxiliary-wave producing step of performing −

1 or more times integration on the body motion signal information to obtain a motion trajectory, and performing coarse-graining on the motion trajectory to produce an auxiliary wave; and

(3) a cycle selecting step of superimposing the rhythm cycle candidate wave which is extracted in the cycle candidate extracting step, on the auxiliary wave which is obtained in the auxiliary wave producing step, and selecting a cycle of a rhythm cycle candidate wave which has a peak in the auxiliary wave, as a true cycle.

31. The diagnosing method according to claim 30, wherein

the illness is any one of Parkinson'"'"'s disease, stroke, spinal cord injury, cerebral palsy, myelodysplasia, muscular dystrophy, osteoarthritis, rheumatoid arthritis, multiple sclerosis, alcoholic intoxication, dementia, and hydrocephalus.

32. The diagnosing method according to claim 30, wherein

the illness is Parkinson'"'"'s disease, and

a severity of Parkinson'"'"'s disease is evaluated from the result extracted by the information processing apparatus.

33. A diagnosing system for diagnosing an illness, the diagnosing system comprising:

a body motion signal detecting apparatus which detects body motion signal information by a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body by an operation in which a subject carries the body motion signal detection section; and

an information processing apparatus which performs information processing on the body motion signal information obtained in the body motion signal detecting apparatus, wherein

the information processing apparatus includes;

a cycle candidate extraction section which applies a pattern matching process on the body motion signal information to extract a rhythm cycle candidate wave as rhythm cycle candidates related to the rhythmic motion;

an auxiliary-wave production section which performs −

1 or more times integration on the body motion signal information to obtain a motion trajectory, and which performs coarse-graining on the motion trajectory, thereby producing an auxiliary wave; and

a cycle selection section which superimposes the rhythm cycle candidate wave that is extracted by the cycle candidate extraction section, on the auxiliary wave that is produced by the auxiliary-wave production section, and which selects a cycle of a rhythm cycle candidate wave that has a peak in the auxiliary wave, as a true cycle.

34. The diagnosing system according to claim 33, wherein

the illness is any one of Parkinson'"'"'s disease, stroke, spinal cord injury, cerebral palsy, myelodysplasia, muscular dystrophy, osteoarthritis, rheumatoid arthritis, multiple sclerosis, alcoholic intoxication, dementia, and hydrocephalus.

35. The diagnosing system according to claim 33, wherein

the illness is Parkinson'"'"'s disease, and

the diagnosing system includes an evaluating apparatus which evaluates a severity of Parkinson'"'"'s disease from the result extracted by the information processing apparatus.

36. A diagnosing apparatus for diagnosing an illness for performing information processing on body motion signal information which is obtained by an operation in which a subject carries a body motion signal detecting apparatus having a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body, and for extracting a result obtained by the information processing, the diagnosing apparatus comprising:

a cycle candidate extraction section which applies a pattern matching process on the body motion signal information to extract a rhythm cycle candidate wave as rhythm cycle candidates related to the rhythmic motion;

an auxiliary-wave production section which performs −

1 or more times integration on the body motion signal information to obtain a motion trajectory, and which performs coarse-graining on the motion trajectory, thereby producing an auxiliary wave; and

a cycle selection section which superimposes the rhythm cycle candidate waves that are extracted by the cycle candidate extraction section, on the auxiliary wave that is produced by the auxiliary-wave production section, and which selects a cycle of a rhythm cycle candidate wave that has a peak in the auxiliary wave, as a true cycle.