WO2005096939A1 - リハビリ支援用計測システム、及びリハビリ支援用計測方法 - Google Patents
リハビリ支援用計測システム、及びリハビリ支援用計測方法 Download PDFInfo
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- WO2005096939A1 WO2005096939A1 PCT/JP2005/006378 JP2005006378W WO2005096939A1 WO 2005096939 A1 WO2005096939 A1 WO 2005096939A1 JP 2005006378 W JP2005006378 W JP 2005006378W WO 2005096939 A1 WO2005096939 A1 WO 2005096939A1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/112—Gait analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/1036—Measuring load distribution, e.g. podologic studies
- A61B5/1038—Measuring plantar pressure during gait
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
- A61B5/1127—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using markers
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
- A61B5/4528—Joints
Definitions
- the present invention relates to a rehabilitation support measurement system for improving rehabilitation efficiency and a measurement method therefor.
- hip osteoarthritis hereinafter referred to as hip OAfosteoarthrosis
- Conventional methods of analyzing the way of walking these patients include analyzing fragmentary data such as the maximum value of the pelvic rotation angle and the maximum value of lateral displacement of the acromion during walking of the patient by comparing them with the data of the elderly etc. There was a way to do that.
- rehabilitation since the patient's gait is not analyzed as a motion, the characteristics of the patient's gait are accurately grasped and the characteristics are obtained. It is difficult to show to the patient easily. For this reason, there has been a problem that the patient cannot accurately recognize his / her way of walking and perform efficient rehabilitation (hereinafter abbreviated as rehabilitation).
- hemiplegia is a functional disorder based on the loss of cells on one side of the brain due to a stroke. There is a need to.
- the present invention has been made to solve the above-described problem, and it is an object of the present invention to easily show a characteristic of a patient with osteoarthritis or hemiplegia when a person's way of walking is regarded as a motion.
- rehabilitation a rehabilitation support measurement system and a measurement method that enable a patient to accurately recognize his or her own walking style and perform efficient rehabilitation (hereinafter abbreviated as rehabilitation). Aim.
- the rehabilitation support measurement system improves the efficiency of rehabilitation (hereinafter abbreviated as "rehabilitation") for patients with osteoarthritis or hemiplegia.
- a rehabilitation support measurement system for causing the patient to walk, imaging means for imaging a way of walking of the patient, motion capture means for capturing movement of each part of the body of the patient in an image captured by the imaging means, An image editing means for editing an image indicating movement of each part of the patient's body captured by the motion capture means, and a display means for displaying the image edited by the image editing means.
- the captured image indicating the movement of each part of the patient's body can be edited, and the edited image can be displayed on the display means.
- rehabilitation hereinafter abbreviated as rehabilitation. Therefore, the rehabilitation of the patient can be hastened. At the same time, medical costs required for patient treatment can be reduced.
- doctors, physiotherapists, and patients confirm images that show the characteristics of the patient's way of walking as movements easily, so that the patient's rehabilitation progress can be objectively determined. Can be evaluated.
- the rehabilitation support measurement system is a rehabilitation support measurement system for improving the efficiency of rehabilitation of a patient with osteoarthritis of the hip.
- Image capturing means for capturing an image of the patient
- motion capturing means for capturing the movement of the left and right acromion and the right and left iliac spine or / and the head of the patient in the image captured by the image capturing means.
- a line connecting the left and right acromion of the patient based on the movement of the left and right acromion of the patient and the movement of the left and right iliac spines and / or the head movement captured by the motion capture means.
- Image editing means for editing an image showing movement of a certain trunk axis and movement of the pelvis axis, which is a line connecting the left and right iliac spines, and / or movement of the head, and an image edited by the image editing means Display means for displaying That.
- the line connects the left and right acromion of the patient.
- the edited image can be displayed by editing the image showing the movement of the trunk axis and the movement of the pelvic axis, which is a line connecting the left and right iliac spines, and / or the movement of the head.
- walking in patients with hip osteoarthritis often involves abnormal movement of the pelvis and trunk, and as described above, the movement of the patient's trunk axis and pelvic axis, and / or the head
- By displaying an image showing the movement of the subject it is possible to easily show the characteristics of the patient with hip osteoarthritis when the user's way of walking is regarded as a movement.
- This enables patients with hip osteoarthritis to accurately recognize their own walking styles and perform efficient rehabilitation, thereby speeding up the rehabilitation of patients with hip osteoarthritis and improving
- the medical costs required to treat patients with the disease can be reduced.
- doctors, physiotherapists, and patients can confirm images that clearly show the characteristics of walking of a patient with osteoarthritis as a movement, and the progress of the patient's rehabilitation can be confirmed. Can be evaluated objectively.
- the measurement system for rehabilitation support is a measurement system for rehabilitation support for improving the efficiency of rehabilitation of a patient with osteoarthritis of the hip.
- Based on the motion of the left and right acromion of the patient captured by the motion capture means and the movement of the left and right iliac spines, a line connecting the left and right acromion of the patient is obtained.
- the apparatus includes a chart editing means for editing a chart such as a duraf showing a correlation with the movement of the pelvis axis, which is a line connecting the spines, and a display means for displaying the chart edited by the chart editing means.
- the movement of the torso axis which is a line connecting the left and right acromion of the patient, and the left and right movements based on the captured movement of the left and right acromion of the patient and the movement of the left and right iliac spines.
- the edited chart can be displayed by editing a chart such as a graph showing the correlation with the movement of the pelvic axis, which is a line connecting the iliac spines.
- walking of patients with hip osteoarthritis often involves abnormal movement of the pelvis and trunk, and as described above, the correlation between the movement of the patient's trunk axis and the movement of the pelvis axis is determined.
- the measurement system for rehabilitation support is the measurement system for rehabilitation support for improving the efficiency of rehabilitation of a patient with hip osteoarthritis.
- Image capturing means for capturing an image of the patient, and motion capturing means for capturing the movement of the left and right acromion and the right and left iliac spine or / and the head of the patient in the image captured by the image capturing means.
- the patient can walk in a healthy person.
- Determining means for determining whether or not it is different from the way of walking.
- the rehabilitation support measurement system is the rehabilitation support measurement system for improving the efficiency of rehabilitation of a hemiplegic patient, wherein the patient's walking style is imaged.
- Imaging means, and the Motion capture means for capturing the vertical movement of each part of the body including the patient's head, and vertical movement of each part of the body including the patient's head captured by the motion capture means.
- the image processing apparatus includes image editing means for editing an image, and display means for displaying the image edited by the image editing means.
- doctors, physiotherapists, and patients compare the vertical movement correlation of each part of the patient's body during rehabilitation in a time series to determine whether the rehabilitation method is appropriate. You can know. Therefore, since the patient can rehabilitate efficiently, the rehabilitation of the patient can be expedited and the medical expenses required for the treatment of the patient can be reduced.
- the rehabilitation support measurement system is a rehabilitation support measurement system for improving the efficiency of rehabilitation of a hemiplegic patient, in which the patient's way of walking is imaged.
- Imaging means motion capture means for capturing vertical movement of each part of the body including the patient's head in an image captured by the imaging means, and the patient's head captured by the motion capture means
- a waveform (hereinafter referred to as a head waveform) indicating the vertical momentum of the patient's head in time series based on the vertical movement of each part of the body including the part, and a waveform other than the patient's head.
- Each waveform (hereinafter, referred to as a waveform of each part) indicating the vertical momentum of each part of the body in a time series is obtained, and the degree of the waveform of the head and the waveform of each part is determined.
- a rehabilitation support measurement system is the rehabilitation support measurement system for improving the efficiency of rehabilitation of a hemiplegic patient.
- Imaging means motion capture means for capturing vertical movement of each part of the body including the patient's head in an image captured by the imaging means, and the patient's head captured by the motion capture means
- Determining means for determining the degree of rehabilitation of the patient based on whether or not vertical movements of each part of the body including the part are synchronized.
- the degree of rehabilitation of the patient can be automatically determined based on whether or not the vertical movements of the respective parts of the body including the captured patient's head are synchronized.
- a physician, physiotherapist, or patient can determine whether the rehabilitation method is appropriate by comparing the above determination results in a time series. Therefore, since the patient can rehabilitate efficiently, the rehabilitation of the patient can be expedited, and the medical expenses required for the treatment of the patient can be reduced.
- the rehabilitation support measurement system is the rehabilitation support measurement system for improving the efficiency of rehabilitation of hemiplegic patients.
- Imaging means motion capture means for capturing vertical movement of each part of the body including the patient's head in an image captured by the imaging means, and the patient's head captured by the motion capture means
- a waveform (hereinafter referred to as a head waveform) indicating the vertical momentum of the patient's head in time series based on the vertical movement of each part of the body including the part, and a waveform other than the patient's head.
- Each waveform (hereinafter, referred to as a waveform of each part) indicating the vertical momentum of each part of the body in a time series is obtained, and the degree of the waveform of the head and the waveform of each part is determined.
- the measurement system for rehabilitation support is a measurement system for rehabilitation support for improving the efficiency of rehabilitation of a patient with hip osteoarthritis.
- a waveform indicating the vertical momentum of the patient's head in a time series based on the vertical movement of the patient's head, neck, shoulder and hand captured by the motion capture means hereinafter referred to as a time series).
- the waveform of the head) and the respective waveforms (hereinafter referred to as the waveforms of the neck, shoulder, and hand) indicating the vertical momentum of the patient's neck, shoulders, and hands in a time series.
- the value of the cross-correlation function between the waveform of the head and the waveform of the neck, the value of the cross-correlation function between the waveform of the head and the waveform of the shoulder, and the cross-correlation function of the waveform of the head and the waveform of the hand Is calculated and based on the values of these cross-correlation functions , And a determination means for determining the effect of rehabilitation progress and surgery of the patient.
- the rehabilitation support measurement method provides a rehabilitation support measurement method for measuring the walking of a patient with osteoarthritis or hemiplegia in order to improve the efficiency of rehabilitation.
- a rehabilitation support measurement method for measuring the walking of a patient with osteoarthritis or hemiplegia in order to improve the efficiency of rehabilitation.
- an image of the way of walking of the patient is captured, the movement of the patient in the captured image is captured, an image indicating the captured movement of the patient is edited, and the edited image is displayed. I do.
- the measurement method for rehabilitation support is a method for measuring rehabilitation support for measuring the walking of a patient with hip osteoarthritis in order to improve the efficiency of rehabilitation of the patient.
- Capturing the patient's way of walking capturing the patient's left and right acromion and left and right iliac spine movements or Z and head movements in the captured image, and capturing the captured left and right shoulders of the patient
- the movement of the trunk axis which is the line connecting the left and right acromion of the patient, and the line connecting the left and right iliac spines, based on the movement of the peak and the movement of the left and right iliac spines, and / or the movement of the head
- the image showing the movement of the pelvic axis and / or the movement of the head is edited, and the edited image is displayed.
- the rehabilitation support measurement method is a rehabilitation support measurement method that measures the walking of a patient with osteoarthritis to improve the efficiency of rehabilitation. Capturing the patient's way of walking, capturing the patient's left and right acromion and left and right iliac spine movements in the captured image, and capturing the patient's left and right acromion, Based on the movement of the iliac spine, the left and right acromion of the patient A chart such as a graph showing the correlation between the movement of the trunk axis, which is a connected line, and the movement of the pelvic axis, which is a line connecting the right and left iliac spines, is edited, and the edited chart is displayed.
- the measurement method for rehabilitation support is the measurement method for rehabilitation support for measuring the way of walking of a patient with osteoarthritis in order to improve the efficiency of rehabilitation of the patient. Capturing the patient's way of walking, capturing the patient's left and right acromion and left and right iliac spine movements or Z and head movements in the captured image, and capturing the captured left and right shoulders of the patient Based on the movement of the peak, the movement of the left and right iliac spines, and / or the movement of the head, it is determined whether or not the walking style of the patient is different from the walking style of a healthy person.
- the method for measuring rehabilitation support comprises: An image of the patient's walking is captured, and vertical movement of each part of the body including the patient's head in the captured image is captured, and the captured vertical movement of each part of the body including the patient's head is captured. The image showing the motion is edited, and the edited image is displayed.
- the rehabilitation support measurement method is a rehabilitation support measurement method for measuring the walking of a hemiplegic patient in order to improve the rehabilitation efficiency of the patient.
- An image of the patient's walking is captured, and vertical movement of each part of the body including the patient's head in the captured image is captured, and the captured vertical movement of each part of the body including the patient's head is captured.
- a waveform hereinafter referred to as a head waveform
- the rehabilitation support measurement method is the rehabilitation support measurement method for measuring the walking of a hemiplegic patient in order to improve the efficiency of rehabilitation. Imaging the way the patient walks, and the patient in the captured image The vertical movement of each part of the body including the head of the patient is captured, and based on whether or not the vertical movement of each part of the body including the captured head of the patient is synchronized, Determine the progress of rehabilitation.
- the rehabilitation support measurement method wherein the rehabilitation support measurement method for measuring the way of walking of a hemiplegic patient in order to improve the efficiency of rehabilitation of the patient, An image of the patient's walking is captured, and vertical movement of each part of the body including the patient's head in the captured image is captured, and the captured vertical movement of each part of the body including the patient's head is captured. Based on the motion, a waveform (hereinafter referred to as a head waveform) indicating the vertical motion of the patient's head in time series, and the vertical motion of each part of the body other than the patient's head in time series.
- a waveform hereinafter referred to as a head waveform
- the measuring method for rehabilitation support is the measurement method for rehabilitation support for measuring the way of walking of a hemiplegic patient in order to improve the efficiency of rehabilitation of the patient. Capturing the patient's gait, capturing vertical movement of the patient's head, neck, shoulder and hand in the captured image, and capturing the captured patient's head, neck, shoulder and hand vertical Based on the directional movement, a waveform (hereinafter referred to as a head waveform) indicating the vertical movement amount of the patient's head in a time series and a vertical movement amount of the patient's neck, shoulder and hand are calculated.
- a waveform hereinafter referred to as a head waveform
- Each waveform shown in time series (hereinafter referred to as neck, shoulder and hand waveforms) is obtained, and the value of a cross-correlation function between the waveform of the head and the waveform of the neck is calculated.
- the value of the cross-correlation function with the shoulder waveform and the head waveform The value of the cross-correlation function between the shape and the waveform of the aforementioned hand is calculated, and based on the value of the cross-correlation function, the degree of rehabilitation of the patient and the effect of surgery are determined.
- FIG. 1 is a configuration diagram of a rehabilitation support measurement system according to a first embodiment of the present invention.
- FIG. 2 is a configuration diagram of a personal computer in the above system.
- Garden 3 Illustration of the method of creating image data showing movement of the trunk axis and the like in the above system
- Garden 4 Illustration of the image showing the characteristics of movement of the trunk axis and the like of the hip A patient created in the above system .
- FIG. 6 is a graph showing angles formed by a trunk axis, an anterior pelvic axis, and a posterior pelvic axis with respect to a patient's traveling direction along a time series.
- FIG. 8 is a graph showing the angle formed by the trunk axis, anterior pelvic axis, and posterior pelvic axis with respect to the traveling direction of a healthy person in a time series.
- FIG. 10 is a graph showing the angle formed by the trunk axis, anterior pelvic axis, and posterior pelvic axis with respect to the advancing direction of a mild patient in a time series.
- FIGS. 13 (a) and 13 (b) are views of a state of imaging a patient in a rehabilitation support measurement system according to a second embodiment of the present invention viewed from above and from the side.
- FIG. 19 shows cross-correlation values of the head waveform and the neck, shoulder, and hand waveforms of a healthy person and a patient with hip OA before and after surgery in the rehabilitation support measurement system according to the third embodiment of the present invention. Table to show.
- the present invention relates to a rehabilitation support measurement system and a measurement method thereof for improving the efficiency of rehabilitation of a patient with osteoarthritis or hemiplegia, and a method of walking for a patient with osteoarthritis or hemiplegia.
- the feature is that it is possible to easily show the features when the is considered as a motion.
- the embodiments described below do not cover the present invention.
- the present invention is not limited to the following embodiments.
- FIG. 1 shows a configuration of a rehabilitation support measurement system according to the first embodiment.
- the rehabilitation support measurement system 1 according to the first embodiment easily shows the characteristics of a patient with osteoarthritis of the hip (hereinafter referred to as hip OA (osteoarthrosis)) when the way of walking is regarded as a motion.
- hip OA osteoarthrosis
- the present invention mainly corresponds to claims 2 to 8, and claims 15 to 17.
- This rehabilitation support measurement system 1 includes DV (Digital Video) cameras 2a and 2b for photographing the walking of a patient T with a crotch OA, and an IEEE1394 serial bus cable (hereinafter referred to as a bus cable) from these DV cameras 2a and 2b.
- DV Digital Video
- the personal computer 3 includes a display 5 (display means) for displaying an image edited based on images taken from the DV cameras 2a and 2b.
- the DV camera 2a arranged mainly above the head of the patient T corresponds to the imaging means in the claims.
- FIG. 2 shows the configuration of the personal computer 3.
- the personal computer 3 includes, in addition to the display 5 and the image input board 32 described above, a CPU 30 for controlling the entire apparatus, and an IEEE 1394 digital interface 31 for inputting and outputting various data via the bus cable 4 (hereinafter, referred to as a personal computer 3).
- a digital IF A digital IF
- a memory 33 in which various programs and data are loaded when the device is used
- a hard disk 34 in which various programs and data are stored
- a mouse and keyboard for inputting various instructions.
- the hard disk 34 includes a digital video capture program (digital video capture PG) 36 for capturing video data in the form of digital video signals from the DV cameras 2a and 2b, A gait analysis program (gait analysis PG) 37 for analyzing features, an analysis result display program (analysis result display PG) 38 for displaying analysis results by the gait analysis program 37, and Data comparison program (data comparison PG) 39 to show the results of analysis of the characteristics of walking in comparison with the results of analysis of the characteristics of past walking, and programs used by these programs. Reference data etc. are stored.
- the above gait analysis program 37 detects each marker in the video data captured from the DV cameras 2a and 2b, and calculates the moving distance, moving speed, etc. of each marker based on the detected positions of these markers.
- the motion capture means in the claims mainly comprises a CPU 30 in the computer 3 and a gait analysis program 37.
- the image editing means in the claims mainly comprises a CPU 30 in the personal computer 3, a gait analysis program 37, and an analysis result display program 38. Furthermore, the diagram editing means in the claims mainly comprises a CPU 30 in the personal computer 3, a gait analysis program 37, and an analysis result display program 38.
- the determination means in the claims mainly comprises the CPU 30 in the personal computer 3 and the gait analysis program 37.
- the DV camera 2a disposed above the patient T captures an image of the patient T's walking, and the captured video data is stored in the personal computer 3. Embed.
- the personal computer 3 samples the locus data of the markers 11 to 17 from the captured video data using the gait analysis program 37 described above, and automatically and instantaneously samples the locus data of the sampled locus data.
- the computer 3 uses the analysis result display program 38 to determine the movements of the trunk axis 18, the anterior pelvic axis 19, the posterior pelvic axis 20, and the head marker 11 of the patient T based on the above image data.
- the displayed image is displayed on the display 5.
- the left and right superior posterior iliac spine markers 16, 17 indicated by white circles in the figure are both arranged on the back side of the patient T, so that the DV camera 2a is When imaging the front of T, the left and right superior posterior iliac spine markers 16, 17 and posterior pelvic axis 20 are not displayed in the imaging screen. However, since the DV camera 2a is fixed at a fixed position above the patient T's head, when the patient T advances in the direction of travel, the upper anterior iliac spine markers 14, 15 on the left and right and the anterior pelvic axis 19 are eventually overlaid. Disappears from the captured image, and instead, the left and right upper posterior iliac spine markers 16, 17 and the posterior pelvic axis 20 are displayed in the captured image.
- FIGS. 4 and 5 show the characteristics of the movement of the trunk axis 18 and the like between the patient T of the crotch A and a healthy person.
- the torso axis 18a and the anterior pelvic axis 19a in the frame 21 indicated by the broken line in FIG. 4 indicate the torso axis 18 and the anterior pelvic axis 19 in the captured image at the same time.
- 12a, 13a, 14a, and 15a in the frame 21 in FIG. 4 are the left acromion marker 12, the right acromion marker 13, the left upper anterior iliac spine marker 14, and the upper right front in the captured image at the same time, respectively.
- the position of the iliac spine marker 15 is shown. 12b, 13b, 14b, 15b in a frame 22 in FIG. 4, 12c, 13c, 14c, 15c in a frame 23 in FIG.
- the wavy lines A, B, C, D, and E in FIGS. 4 and 5 indicate the head marker 11, the left acicular marker 12, and the right acicular marker in the image of the patient T or a healthy person, respectively.
- 13 shows the locus of the upper left anterior iliac spine marker 14 and the upper right anterior iliac spine marker 15.
- the position of the trunk axis 18a in the frame 21 with respect to the anterior pelvic axis 19a and the position of the trunk axis 18b in the frame 22 with respect to the anterior pelvic axis 19b are: Both are almost parallel.
- the shape is a U-shape (hereinafter referred to as a C-shape) or an inverted shape of the U-shape (hereinafter referred to as an inverted-C shape).
- a healthy person is walking while twisting his body, while a patient T with a crotch OA is walking the whole body in the same horizontal direction.
- the locus of the head marker 11 (broken line A) is larger than in the healthy person shown in FIG. It can be seen that the head sway of the patient T during walking is large.
- the manner of walking of the patient T with hip OA has the characteristics described above, so that the trunk axis 18 of the patient T with hip OA at multiple imaging points as shown in boxes 21 and 22 in FIG.
- a moving image composed of images showing the positional relationship with the pelvic axis 19 (or the posterior pelvic axis 20) and the locus of each marker as shown by A to E in FIG. 4 on the display 5, It is possible to easily show the characteristics of the patient's crotch OA when he or she walks as a movement.
- the patient T of the crotch ⁇ A can accurately recognize his / her way of walking and perform efficient rehabilitation (hereinafter abbreviated as “rehabilitation”).
- the doctor, the physiotherapist, and the patient T confirm the image that easily shows the characteristics when the way of walking of the patient T of the hip OA is grasped as a movement, so that the patient of the hip OA can be confirmed. It is possible to objectively evaluate the progress of the rehabilitation of Ding. Furthermore, by setting a predetermined threshold value, the trunk axis 18 and the anterior pelvic axis 19 (or the posterior pelvic axis 20) of the patient T of the hip A at a plurality of imaging times as shown in boxes 21 and 22 in FIG. ) And the degree of waving in the trajectory (broken line A) of the head marker 11 in Fig.
- Fig. 6 is a graph created based on the data of the detection position of each marker in the moving image data captured from the DV camera 2a during walking of the patient T with the crotch OA. 18, the angle formed by the anterior pelvic axis 19 and the posterior pelvic axis 20 is shown in chronological order.
- the dashed line I in the figure shows the transition of the angle between the direction of travel and the anterior pelvic axis 19 (the line connecting the left and right superior anterior iliac spines).
- FIG. 7 shows the trajectory L of the head marker 11 of the patient T with hip OA in time series.
- the peak position of the wavy line I indicating the transition of the angle formed by the axis 19 is synchronized, and the peak position of the wave HJ indicating the transition of the angle formed by the traveling direction and the trunk axis 18, and the traveling direction and the posterior pelvis
- the peak position of the wavy line K indicating the angle transition formed by the axis 20 is synchronized.
- the waves and the dashed lines I and K are approximately in phase.
- the graph created based on the detection position data of each marker in the moving image data captured from the DV camera 2a when a healthy person walks has completely different characteristics. Having. That is, in the case of a healthy person, the wave and window indicating the transition of the angle formed by the traveling direction and the trunk axis 18 and the wavy line I indicating the transition of the angle formed by the traveling direction and the anterior pelvic axis 19 are substantially similar to each other. The phases are opposite. In addition, the wave and the mouth, and the wavy line K indicating the transition of the angle formed between the traveling direction and the posterior pelvic axis 20 also have substantially opposite phases. This indicates that a healthy person is walking while twisting his body.
- the locus L of the head marker 11 of the healthy subject shown in FIG. 9 is not much wavy as compared with the locus L of the head marker 11 of the patient T with the crotch OA shown in FIG. From the results, it can be seen that the head sway during walking is much smaller in a healthy person than in a patient T with a crotch OA.
- the wave and the wavy line I, for the patient T of the mild hip ⁇ A are the cases shown in the graph shown in FIG. 6 (the patient T of the hip OA, which has some severe symptoms).
- the phases are quite different.
- the degree of undulation with respect to the trajectory L of the patient T with mild hip OA is smaller than the trajectory L of the patient T with a somewhat severe symptom A shown in FIG. , Pretty small.
- Fig. 12 is a graph showing a comparison between the magnitude of the lateral swing width during walking between a healthy person and a patient T with a crotch OA before and after surgery, which is detected based on the locus of the head marker 11. is there .
- the bar 52 in the figure is the horizontal swing of the patient T with a hip OA before the operation when the magnitude (statistics) of the horizontal swing width during walking of a healthy person shown in the bar 51 is 100 (statistical value). Indicates the size of the width (statistical value).
- the magnitude of the swing in the left and right direction during walking of a healthy subject was 100 on average and the standard deviation was 3.89.
- the average amplitude is 144.14 and the standard deviation is 5.12.
- a bar 53 in the figure represents a patient T of a post-operative hip OA when the magnitude (statistical value) of the swing width in the left-right direction during walking of a healthy person shown in the bar 51 is 100. Indicates the magnitude (statistical value) of the swing width in the left and right directions.
- the average amplitude of the lateral swing during walking of the patient T with hip OA before the operation shown in bar 52 was 144.14 and the standard deviation was 5.12.
- the average width is 119.6 and the standard deviation is 6.2. This indicates that the patient T with hip OA after the surgery has a smaller head movement during walking and less horizontal wobble than the patient T with hip OA before the surgery. Thereby, it is possible to evaluate whether or not the way of walking of the patient T with the crotch OA approaches the healthy person by the operation.
- each marker in the moving image data captured from the DV camera 2a is detected, and at the detection position of one of these markers.
- the movement of the posterior pelvis axis 20 which is the line connecting the left and right superior posterior iliac spine markers 16 and 17 (the image shown in Fig. 4 and the image shown in Fig. 6).
- the edited image can be edited and the edited image can be displayed on the display 5.
- walking of patient T with hip OA often involves abnormal pelvic and trunk dynamics, and as described above, movement of trunk axis 18 and anterior pelvic axis 19 of patient T with hip OA
- images on the display 5 showing the movement of the pelvis axis 20, the movement of the posterior pelvis 20 and the movement of the head marker 11, the characteristics of the patient with crotch OA when he or she walks as a movement are identified. It can be easily shown.
- the patient T with the hip OA can accurately recognize his / her way of walking and can efficiently perform reno and pyri- tation (hereinafter, abbreviated as “rehabilitation”).
- the doctor, the physiotherapist, and the patient confirm the image showing the characteristics when the walking style of the patient T of the crotch OA is regarded as a movement, and the doctor, the physiotherapist, and the patient confirm the image. It is possible to objectively evaluate the progress of T's rehabilitation.
- the rehabilitation support measurement system 1 according to the second embodiment can easily show the characteristics of a hemiplegic patient when he / she views his or her way of walking as movement. It corresponds to claims 9 to 12, and claims 18 to 21.
- the rehabilitation support measurement system 1 has the same configuration as the rehabilitation support measurement system 1 according to the first embodiment.
- the DV camera 2b (see FIG. 1) arranged mainly on the side of the patient T corresponds to the imaging means in the claims.
- the personal computer 3 has the same configuration as that of FIG. 2, and the hard disk 34 in the personal computer 3 stores the digital video signal format from the DV cameras 2a and 2b.
- Digital video capture program 36 for capturing the video data of the patient
- gait analysis program 37 for analyzing the characteristics of the gait of patient T
- gait analysis program 37 An analysis result display program 38, a data comparison program 39 for showing the analysis results of the current walking characteristics of patient T in comparison with the analysis results of past walking characteristics, and a program such as these 39 Reference data etc. used in the application are stored.
- the gait analysis program 37 described above creates bitmap image data at intervals of 60 frames / second based on the video data captured by the DV camera 2b described above, and based on these image data, The coordinate data of each marker in T is sampled.
- a waveform (head waveform) indicating the vertical momentum of the patient T's head force in a time series based on the force of the patient T, and a waveform of each part of the body other than the patient's head.
- Each waveform (waveform of each part) indicating the vertical momentum of the marker in time series is obtained, and each cross-correlation indicating how much the waveform of the head and the waveform of each part are mutually dependent is obtained.
- the vertical movement of each part of the body including the captured patient's head is analyzed, and based on the analysis result, the way of walking of the patient is different from the way of walking of a healthy person.
- the motion capture means in claims 9 to 12 mainly includes the CPU 30 in the personal computer 3 and the gait analysis program 37. Further, the image editing means in claim 9 and the graph editing means in claim 10 are mainly composed of the CPU 30 in the personal computer 3 and the gait analysis program 37. Further, the determination means in claims 11 and 12 mainly includes the CPU 30 in the personal computer 3 and the gait analysis program 37.
- the marker 61 is attached to each part of the body including the head of the patient T, and as shown in FIG. 13 (a), the patient T is viewed from the side with the DV camera 2b. Take an image. At this time, the imaging time with the DV camera 2b is about 30 seconds, and the imaging is performed with the distance between the patient T and the DV camera 2b maintained at 2 to 3 m. I do.
- the marker 61 can be attached to the patient T by applying the marker on the clothes of the patient ⁇ , but it is more desirable to apply it directly to the skin of the patient ⁇ .
- FIG. 14 shows the gait analysis screen 71 of the patient ⁇ .
- the gait analysis screen 71 includes a graph 72 which is an image showing the vertical movement of the marker 61 of each part of the body including the head of the patient ⁇ , and a marker 72 of each part of the body including the head of the patient 61.
- a graph 73 or the like which is an image indicating the vertical movement acceleration of the image, is displayed.
- the progress of rehabilitation of hemiplegic patient ⁇ is determined by whether or not the vertical movement of the patient ⁇ 's head and the vertical movement of each part other than the head are synchronized.
- the doctor, the physiotherapist and the patient ⁇ 72 By displaying the graph 72 showing the vertical movement of each part of the body including the head of the patient ⁇ as described above, the doctor, the physiotherapist and the patient ⁇ 72, the degree of rehabilitation of the hemiplegic patient ⁇ can be easily determined. Therefore, the physician, the physiotherapist, and the patient ⁇ can compare the graph 72 of the patient ⁇ ⁇ ⁇ ⁇ during rehabilitation in a time-series manner to know whether the rehabilitation method is appropriate. As a result, the patient ⁇ can rehabilitate efficiently, so that the patient ⁇ ⁇ 's rehabilitation can be expedited and the medical expenses required for the treatment of the patient ⁇ can be reduced.
- the graph 72 of the patient ⁇ ⁇ ⁇ as described above is shown to the patient ⁇ in comparison with the graph 72 showing the vertical movement of each part of the body related to a healthy person, so that the patient ⁇ can easily perform the image training. it can.
- Graphs 72 and 73 in the figure are edited based on the data of healthy subjects, and the graph 72 of hemiplegic patient ⁇ is compared with the graph 72 of healthy subjects shown in FIG.
- the vertical movement 74 of the marker 61 attached to the patient ⁇ 's head and the vertical movement 75 of the marker 61 attached to each part of the body other than the head become more synchronous.
- a waveform (hereinafter, referred to as a head waveform) indicating the vertical movement amount of the patient ⁇ 's head 61 with respect to the marker 61 in time series (hereinafter referred to as a head waveform) is obtained by
- the waveforms indicating the vertical momentum of the marker 61 in time series (hereinafter referred to as waveforms of the parts other than the head) are obtained, and the waveform of the head and the waveforms of the parts other than the head are determined.
- the characteristics of the walking style of patient ⁇ are analyzed by creating a graph in which the values of each cross-correlation function indicating the degree of interdependence are plotted in a time series.
- the cross-correlation function is a function that indicates how much the two time-series waveforms are interdependent or similar, and is expressed by the following equation.
- the above function indicates the correlation between the waveform x (At) and the waveform y (At).
- the waveform of the head is X ( ⁇ t)
- the waveform of each part other than the head is y ( ⁇ t)
- the value of the cross-correlation function for these waveforms is By creating a graph plotted along the series, the synchronization and rhythm of the vertical momentum of each part of the patient's T body are compared. Thereby, it is possible to see the characteristics of the movement cycle of the patient T, with the movement characteristics of each part of the body of the patient T as an index, centering on the movement cycle of the head of the patient T.
- FIG. 15 shows a waveform (hereinafter abbreviated as a cross-correlation value) of a cross-correlation function between a waveform of a head and a waveform of each part other than the head of a healthy person, which is plotted in time series.
- a graph consisting of a correlation waveform is shown below.
- the correlation waveform of the shoulder shown by the thick line in the figure is the waveform of the above-mentioned head (the waveform showing the vertical momentum of the head marker 61 in time series) and the vertical waveform of the shoulder marker 61.
- Waveforms showing directional momentum along time series Is a curve in which the cross-correlation values of are plotted along a time series.
- the correlation waveform of the ankle indicated by the thin line in the figure includes the waveform of the head (a waveform indicating the vertical momentum of the head marker 61 in time series) and the vertical waveform of the ankle marker 61.
- This is a curve in which the cross-correlation value with the waveform indicating the amount of movement along the time series is plotted along the time series.
- waveforms There are variations such as waveforms.
- the correlation waveform of each part of the body on the paralyzed side of the hemiplegic patient T shown in FIG. It goes up and down with almost the same rhythm. This means that the gait on the paralyzed side of hemiplegic patient T does not have the complexity and flexibility of the gait of a healthy person.
- the graph shown in the figure shows the correlation waveform of each part of the body at three months after the start of rehabilitation of hemiplegic patient T.
- FIG. 17 is a graph showing a correlation waveform of each part of the body at a time point of four months after the start of rehabilitation of hemiplegic patient T. Even at this time, the correlation waveform of each part of the body on the paralyzed side of the hemiplegic patient T, which has little variation, rises and falls with a rhythm that almost coincides with the movement of the head.
- the head of the patient T is determined based on the vertical movement of each part of the body including the captured head of the patient T.
- a graph consisting of correlation waveforms plotting the values of each cross-correlation function indicating the degree of interdependence between the waveform of the head and the waveform of each part in time series (see FIGS. 15 to 15). Edit the graph shown in 18) to display the edited graph.
- the doctor, the physiotherapist and the patient T The rehabilitation progress of the patient T can be easily determined.
- the graph of the patient T as described above is shown to the patient T in comparison with a graph showing the vertical movement of each part of the body related to a healthy person, so that the patient T can easily perform image training. it can.
- the physician, physiotherapist, and patient T can compare the graph of patient T during rehabilitation in chronological order to determine whether the rehabilitation method is appropriate. Therefore, since the patient T can rehabilitate efficiently, the reintegration of the patient T into the society can be expedited, and the medical expenses required for the treatment of the patient T can be reduced.
- the doctor, the physiotherapist, and the patient T do not judge the rehabilitation progress of the patient T based on the graphs shown in FIGS.
- CPU 30 Power Calculate the value of each cross-correlation function indicating the degree of interdependence between the waveform of the head of patient T and the waveform of each part described above, and check if there are variations in the values of these cross-correlation functions.
- the progress of the rehabilitation of the patient T may be automatically determined based on whether the rehabilitation is performed.
- the rehabilitation support measurement system 1 according to the third embodiment is a rehabilitation support measurement system for patients with crotch A, similar to the rehabilitation support measurement system according to the first embodiment. And claim 22.
- the rehabilitation support measurement system 1 has the same configuration as the rehabilitation support measurement system 1 according to the second embodiment, and requires a DV camera 2b (see FIG. 1) arranged beside the patient T. Corresponds to the imaging means in the section.
- the crotch is measured using a method similar to the second analysis method in the rehabilitation support measurement system 1 according to the second embodiment.
- ⁇ Evaluate the progress of rehabilitation of T patients and the effects of surgery. Specifically, based on the vertical motion of the patient ⁇ 's head, neck, shoulders, and hands captured by the DV camera 2b arranged on the side of the patient ⁇ , the vertical motion of the patient T's head is calculated. The waveforms (time waveforms of the head) along the time series and the waveforms (neck, shoulder, and hand waveforms) indicating the vertical momentum about the neck, shoulders, and hands of the patient T along the time series were obtained.
- cross-correlation value indicating the degree of interdependence between the waveform of the head and the waveforms of the neck, shoulder and hand, and based on these cross-correlation values, Judge the progress of T rehabilitation and the effect of surgery.
- FIG. 19 shows the cross-correlation values of the waveform of the head and the waveforms of the neck, shoulder, and hand for a healthy person and a patient T with hip OA before and after surgery.
- the subjects were women between the ages of 26 and 55.
- the number of subjects was 22 healthy subjects, 11 OA patients before surgery, and 10 OA patients after surgery.
- the cross-correlation value between the head waveform and the neck waveform, the cross-correlation value between the head waveform and the shoulder waveform, and the head waveform of the patient T with OA before surgery The cross-correlation value between the waveform and the hand waveform is lower than each cross-correlation value in healthy subjects, but each cross-correlation value in the patient T with hip OA after surgery is close to each cross-correlation value in healthy subjects. Changes to a value. By utilizing this tendency, it is possible to determine the effect of the operation on patient T and the degree of rehabilitation.
- the CPU 30 in the personal computer 3 calculates the cross-correlation value between the waveform of the head and the waveform of the neck, shoulder, and hand of the patient T with the above-mentioned hip OA.
- the determination may be made automatically on the basis of the cross-correlation value between the waveform of the head of the patient T of the crotch A and the waveforms of the neck, shoulder, and hands of the CPU 30 in the personal computer 3. 5 Displayed above, the physician, physiotherapist and patient T may judge based on the displayed cross-correlation value.
- the difference between the cross-correlation values between the healthy subject and the patient T with hip ⁇ A before the operation shown in FIG. 19 is based on the walking style acquired by the patient T with hip ⁇ A to relieve the pain in the hip joint. This is due to the awkwardness.
- Patient T with hip OA after surgery gradually approaches the usual walking method because the pain in the hip joint disappears.
- the vertical swing width of the head is smaller than before surgery, and the correlation between the joints of the neck, shoulder, and hands and the head is higher. Therefore, the movement of weight 'negative weight is improved, and walking becomes easier. Therefore, compared to before surgery It is harder to knock down, and the power is less tired.
- the present invention is not limited to the above embodiment, and various modifications are possible.
- Data may be stored in a server via the Internet or a VPN (Virtual Private Network), and a database of analysis data may be created on the server.
- the images showing the movements of the trunk axis 18, the anterior pelvic axis 19, the posterior pelvic axis 20, and the head marker 11 are displayed on the display 5. Only the image indicating the movement of the trunk axis may be displayed on the display, or only the image indicating the movement of the head marker 11 may be displayed on the display.
- a graph showing the angles formed by the trunk axis and the pelvic axis with respect to the patient's advancing direction as shown in FIG. 6 in chronological order may be displayed on the display.
- an image showing the movement of the patient's torso axis or the like as shown in FIG. 4, a graph as shown in FIG. 6, or a graph as shown in FIGS. May be printed by a printer instead of being displayed on the display.
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JP2009538636A (ja) * | 2006-03-08 | 2009-11-12 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | 四肢の機能的使用をモニタリングする方法およびシステム |
JP2012035014A (ja) * | 2010-08-12 | 2012-02-23 | Hideo Nakajima | 足腰の筋力が測定できるリハビリ機。 |
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JP2017000601A (ja) * | 2015-06-15 | 2017-01-05 | 花王株式会社 | 歩行周期の検出方法及び検出装置 |
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JP2017000601A (ja) * | 2015-06-15 | 2017-01-05 | 花王株式会社 | 歩行周期の検出方法及び検出装置 |
KR20170038722A (ko) | 2015-09-30 | 2017-04-07 | 가부시키가이샤 리코 | 정보 처리 장치 및 시스템 |
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