Information processing for a body motion signal
First Claim
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1. An information processing method implemented on a central processing unit or microprocessor to perform information processing in an information processing apparatus that includes the central processing unit or microprocessor the information processing method including steps of:
- obtaining body motion signal information from a body motion signal formed by an operation in which a subject carries a body motion signal detecting apparatus, the body motion signal detection apparatus being mounted on, connected to, or housed on the subject and having a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body the subject;
applying a pattern matching process, in a cycle candidate extracting step, on the body motion signal information, and extracting a rhythm cycle candidate wave as rhythm cycle candidates related to the rhythmic motion;
performing −
1 or more times integration, in an auxiliary-wave producing step, on the body motion signal information to obtain a motion trajectory, determining a time scale from the motion trajectory, and performing coarse-graining on the motion trajectory by using the time scale of the motion trajectory to produce an auxiliary wave; and
superimposing, by implementing the superimposing on the central processing unit or the microprocessor of the information processing apparatus in a cycle selecting step, the rhythm cycle candidate wave, that was extracted in the cycle candidate extracting step, on the auxiliary wave, that was obtained in the auxiliary-wave producing step, and selecting a cycle of the rhythm cycle candidate wave which has a peak in a region surrounded by a peak of the auxiliary wave, as a true cycle.
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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.
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Citations
38 Claims
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1. An information processing method implemented on a central processing unit or microprocessor to perform information processing in an information processing apparatus that includes the central processing unit or microprocessor the information processing method including steps of:
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obtaining body motion signal information from a body motion signal formed by an operation in which a subject carries a body motion signal detecting apparatus, the body motion signal detection apparatus being mounted on, connected to, or housed on the subject and having a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body the subject; applying a pattern matching process, in a cycle candidate extracting step, on the body motion signal information, and extracting a rhythm cycle candidate wave as rhythm cycle candidates related to the rhythmic motion; performing −
1 or more times integration, in an auxiliary-wave producing step, on the body motion signal information to obtain a motion trajectory, determining a time scale from the motion trajectory, and performing coarse-graining on the motion trajectory by using the time scale of the motion trajectory to produce an auxiliary wave; andsuperimposing, by implementing the superimposing on the central processing unit or the microprocessor of the information processing apparatus in a cycle selecting step, the rhythm cycle candidate wave, that was extracted in the cycle candidate extracting step, on the auxiliary wave, that was obtained in the auxiliary-wave producing step, and selecting a cycle of the rhythm cycle candidate wave which has a peak in a region surrounded by a peak of the auxiliary wave, as a true cycle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 22, 23, 24, 25, 35, 36)
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9. An information processing system for a body motion signal, the information processing system comprising:
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a body motion signal detecting apparatus that 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 of a subject by an operation in which the subject carries the body motion signal detection section and outputs a body motion signal including the body motion signal information, the body motion signal detection section being mounted on, connected to, or housed on the subject; an information processing apparatus including a central processing unit or a microprocessor implemented to accept the body motion signal and perform 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, the information processing apparatus including; a cycle candidate extraction section that 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 that performs −
1 or more times integration on the body motion signal information to obtain a motion trajectory, determines a time scale from the motion trajectory, and that performs coarse-graining on the motion trajectory by using the time scale of the motion trajectory to produce an auxiliary wave; anda cycle selection section that superimposes, by implementing the superimposing on the central processing unit or the microprocessor of the information processing apparatus, the rhythm cycle candidate wave, that was extracted by the cycle candidate extraction section, on the auxiliary wave, that was produced by the auxiliary-wave production section, and selects a cycle of the rhythm cycle candidate wave that has a peak in a region surrounded by a peak of the auxiliary wave, as a true cycle. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. An information processing apparatus including a central processing unit or a microprocessor implemented to perform information processing the information processing apparatus comprising:
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an input section that obtains body motion signal information from a body motion signal formed by an operation in which a subject carries a body motion signal detecting apparatus, the body motion apparatus being mounted on, connected to, or housed on the subject and having a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body of the subject; a cycle candidate extraction section that 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 that performs −
1 or more times integration on the body motion signal information to obtain a motion trajectory, determines a time scale from the motion trajectory, and that performs coarse-graining on the motion trajectory by using the time scale of the motion trajectory to produce an auxiliary wave; anda cycle selection section that superimposes, by implementing the superimposing on the central processing unit or the microprocessor of the information processing apparatus, the rhythm cycle candidate wave, that was extracted by the cycle candidate extraction section, on the auxiliary wave, that was produced by the auxiliary-wave production section, and selects a cycle of the rhythm cycle candidate wave that has a peak in a region surrounded by a peak of the auxiliary wave, as a true cycle. - View Dependent Claims (18, 19)
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20. A non-transitory computer-readable recording medium which records a program to be used in an information processing method implemented by a central processing unit or a microprocessor to perform information processing including desired process steps, the program causing a computer including the central processing unit or the microprocessor to execute a method comprising:
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obtaining body motion signal information from a body motion signal formed by an operation in which a subject carries a body motion signal detecting apparatus, the body motion signal detection apparatus being mounted on, connected to, or housed on the subject and having a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body of the subject; applying a pattern matching process, in a cycle candidate extracting step, on the body motion signal information, and extracting a rhythm cycle candidate wave as rhythm cycle candidates related to the rhythmic motion; performing −
1 or more times integration, in an auxiliary wave producing step, on the body motion signal information to obtain a motion trajectory, determining a time scale from the motion trajectory, and performing coarse-graining on the motion trajectory by using the time scale of the motion trajectory to produce an auxiliary wave; andsuperimposing, by implementing the superimposing on the central processing unit or the microprocessor in a cycle selecting step, the rhythm cycle candidate wave, that was extracted in the cycle candidate extracting step, on the auxiliary wave, that was obtained in the auxiliary-wave producing step, and selecting a cycle of the rhythm cycle candidate wave which has a peak in a region surrounded by a peak of the auxiliary wave, as a true cycle. - View Dependent Claims (21)
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26. A diagnosing method of diagnosing an illness using an information processing apparatus including a central processing unit or a microprocessor implemented to perform information processing, the information processing including steps of:
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obtaining body motion signal information from a body motion signal formed by an operation in which a subject carries a body motion signal detecting apparatus, the body motion signal detection apparatus being mounted on, connected to, or housed on the subject and having a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body of the subject; applying a pattern matching process, in a cycle candidate extracting step, on the body motion signal information, and extracting a rhythm cycle candidate wave as rhythm cycle candidates related to the rhythmic motion; performing −
1 or more times integration, in an auxiliary wave producing step, on the body motion signal information to obtain a motion trajectory, determining a time scale from the motion trajectory, and performing coarse-graining on the motion trajectory by using the time scale of the motion trajectory to produce an auxiliary wave; andsuperimposing, by implementing the superimposing on the central processing unit or the microprocessor of the information processing apparatus in a cycle selecting step, the rhythm cycle candidate wave, that was extracted in the cycle candidate extracting step, on the auxiliary wave, that was obtained in the auxiliary wave producing step, and selecting a cycle of the rhythm cycle candidate wave which has a peak in a region surrounded by a peak of the auxiliary wave, as a true cycle. - View Dependent Claims (27, 28, 37, 38)
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29. A diagnosing system for diagnosing an illness, the diagnosing system comprising:
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a body motion signal detecting apparatus that 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 of a subject by an operation in which the subject carries the body motion signal detection section and outputs a body motion signal including the body motion signal information, the body motion signal detection section being mounted on, connected to, or housed on the subject; and an information processing apparatus including a central processing unit or a microprocessor implemented to accept the body motion signal and perform information processing on the body motion signal information obtained in the body motion signal detecting apparatus, the information processing apparatus including; a cycle candidate extraction section that 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 that performs −
1 or more times integration on the body motion signal information to obtain a motion trajectory, determines a time scale from the motion trajectory, and that performs coarse-graining on the motion trajectory by using the time scale of the motion trajectory to produce an auxiliary wave; anda cycle selection section that superimposes, by implementing the superimposing on the central processing unit or the microprocessor of the information processing apparatus, the rhythm cycle candidate wave, that was extracted by the cycle candidate extraction section, on the auxiliary wave, that was produced by the auxiliary-wave production section, and selects a cycle of the rhythm cycle candidate wave that has a peak in a region surrounded by a peak of the auxiliary wave, as a true cycle. - View Dependent Claims (30, 31, 33)
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32. A diagnosing apparatus for diagnosing an illness including a central processing unit or a microprocessor, the diagnosing apparatus comprising:
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an input section that obtains body motion signal information from a body motion signal formed by an operation in which a subject carries a body motion signal detecting apparatus, the body motion signal detection apparatus being mounted on, connected to, or housed on the subject and having a body motion signal detection section that measures non-invasively and continuously at least a repetitive rhythmic motion of a human body of the subject; a cycle candidate extraction section that 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 that performs −
1 or more times integration on the body motion signal information to obtain a motion trajectory, determines a time scale from the motion trajectory, and which performs coarse-graining on the motion trajectory by using the time scale of the motion trajectory to produce an auxiliary wave; anda cycle selection section that executes a program with the central processing unit or the microprocessor of the diagnosing apparatus to superimpose the rhythm cycle candidate wave, that was extracted by the cycle candidate extraction section, on the auxiliary wave, that was produced by the auxiliary-wave production section, and to select a cycle of the rhythm cycle candidate wave that has a peak in a region surrounded by a peak of the auxiliary wave, as a true cycle. - View Dependent Claims (34)
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Specification
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Current AssigneeLSI Medience Corporation (PHC Holdings Corporation)
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Original AssigneeMitsubishi Chemical Corporation (Mitsubishi Chemical Group Corp.)
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InventorsYoneyama, Mitsuru, Mitoma, Hiroshi
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Primary Examiner(s)Dougherty, Sean
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Assistant Examiner(s)CERIONI, DANIEL LEE
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Application NumberUS13/433,878Publication NumberTime in Patent Office1,167 DaysField of Search335/11, 335/12, 434/247, 600/587, 600/595US Class Current1/1CPC Class CodesA61B 5/112 Gait analysisA61B 5/1123 Discriminating type of move...A61B 5/4082 Diagnosing or monitoring mo...A61B 5/7242 using integrationA61B 5/7246 using correlation, e.g. tem...A61B 5/725 using specific filters ther...
