CN114947823A - Integrated analytic data acquisition system - Google Patents

Integrated analytic data acquisition system Download PDF

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CN114947823A
CN114947823A CN202110206597.5A CN202110206597A CN114947823A CN 114947823 A CN114947823 A CN 114947823A CN 202110206597 A CN202110206597 A CN 202110206597A CN 114947823 A CN114947823 A CN 114947823A
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data
medial
lateral
analysis
metatarsal head
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姜淑云
李阳
李一瀛
俞艳
鲁潇莹
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Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Shanghai University of TCM
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Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Shanghai University of TCM
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121Determining geometric values, e.g. centre of rotation or angular range of movement
    • A61B5/1122Determining geometric values, e.g. centre of rotation or angular range of movement of movement trajectories
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1128Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using image analysis

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Abstract

The invention relates to an integrated analytic data acquisition system, which comprises a target setting system, a target capturing system, a data processing system, a model building system and a data analysis system, wherein the target setting system is used for setting a target; the target setting system can simultaneously set a complete whole body and foot marking position; the target capture system can accurately acquire the motion position and track of each mark position in different states; the data processing system can further optimize the original data, eliminate external interference factors and enable the data to be more accurate; the model construction system can construct an analysis model based on the 'whole body + foot' mark position; the data analysis system performs matching analysis on the static data and the dynamic data through an analysis model to obtain the assessment data of the integrated motion function of the big joints and the small joints of the feet of the whole body; the advantages are that: an integrated analysis model can be constructed, the synchronous consistency of analysis data is realized, the acquisition time is saved, and the accuracy of the foot horizontal plane kinematic data is improved.

Description

Integrated analytic data acquisition system
Technical Field
The invention relates to the field of data acquisition, in particular to an integrated analytic data acquisition system.
Background
The existing three-dimensional motion analysis data acquisition system uses a whole body analysis model to acquire and capture the motion of a whole body large joint; capturing fine motion of the foot using a foot motion analysis model acquisition. The system can only realize the respective acquisition of the whole body motion analysis data and the foot fine motion analysis data, needs the evaluated person to keep a standing posture for a long time, respectively coordinates the processes of attaching, removing the whole body motion analysis model fluorescent mark points and attaching, removing the foot fine motion analysis mark points, consumes a long time, is easy to cause the fatigue of the evaluated person, and further influences the accuracy of the kinematic data acquisition; meanwhile, the situation that the whole body movement data and the foot fine movement data cannot be synchronously corresponding to each other exists, and the analysis and the use of the data are limited.
Chinese patent application CN111369626A discloses a method and a system for analyzing the movement of an upper limb without a mark point for deep learning, belonging to the technical field of analysis of the movement of the upper limb, wherein the method comprises the steps of obtaining an image and depth information of a user when the user does functional movement of the upper limb; performing inverse kinematics calculation processing based on the image and the depth information to obtain upper limb movement angle data; and correcting the upper limb movement angle data by applying a pre-trained deep learning model to obtain final upper limb kinematics parameters, thereby being beneficial to more accurately analyzing/evaluating the upper limb kinematics parameters. The method provides a correction type identification tracking based on a deep learning algorithm, but obviously cannot replace the motion analysis with mark points and cannot solve the problem of the integrated acquisition of the whole body motion analysis data and the foot fine motion analysis data.
In summary, there is a lack of an analysis system for simultaneously acquiring data of whole body movement and foot fine movement in the prior art, and therefore there is an urgent need for an integrated analysis data acquisition system capable of constructing an integrated analysis model of whole body macro-joint and foot fine movement, achieving synchronous consistency of analysis data, saving acquisition time, and improving accuracy of foot horizontal plane kinematic data.
Disclosure of Invention
The invention aims to provide an integrated analytical data acquisition system which can construct a whole body large joint and foot fine motion integrated analytical model, realize the synchronous consistency of analytical data, save acquisition time and improve the accuracy of foot horizontal plane kinematic data.
In order to achieve the purpose, the invention adopts the technical scheme that:
an integrated analytical data collection system comprising: a target setting system: a marking bit for setting a marking point; a target capture system: the system comprises a motion track for capturing a mark point, wherein the captured data comprises static data and dynamic data; a data processing system: the static data and the dynamic data are processed and corrected to obtain correction data; the model construction system comprises: constructing an analysis model based on the marking positions of the marking points; a data analysis system: and processing the correction data by using the analysis model to obtain exercise function evaluation data.
As a preferred technical solution, the marker positions include a whole body major joint marker position and a foot minor joint marker position: the marker sites of the large joints of the whole body comprise: the seventh cervical vertebra spinous process is deviated from the right, right acromion, left acromion, right humeral lateral epicondyle, left humeral lateral epicondyle, right radius styloid, left radius styloid, right anterior superior iliac spine, left anterior superior iliac spine, right posterior superior iliac spine, left posterior superior iliac spine, right thigh, left thigh, right lateral femur condyle, left lateral femur condyle, right medial femur condyle, left medial femur condyle, right tibial tubercle, left tibial tubercle, right calf, left calf; the foot facet joint mark position comprises: right lateral malleolus, left lateral malleolus, right medial malleolus, left medial malleolus, right first metatarsal head medial lateral, left first metatarsal head medial, right second metatarsal head, left second metatarsal head, right fifth metatarsal head lateral, left fifth metatarsal head lateral, right first metatarsal head medial, left first metatarsal head medial, right first metatarsal head base, left first metatarsal head base, right second metatarsal head base, left second metatarsal head base, right fifth metatarsal tuberosity posterior, left fifth metatarsal tuberosity posterior, right scaphoid tuberosity, left scaphoid tuberosity, right trochanter outermost apex, left vectalus outermost apex, right fibula tubercle, left fibula tubercle, right calcaneus posterior central spine, left calcaneus posterior central spine, right achilles tendon attachment termination points, left tendon attachment termination points.
As a preferred technical solution, the target capturing system collects the static data and the dynamic data through an infrared camera; the static data is the space position information of the mark point in a static standing state; the dynamic data is a mark point position moving track in a walking or appointed action state, wherein before dynamic data acquisition, mark positions of a right femoral medial condyle, a left femoral medial condyle, a right achilles tendon attachment end point and a left achilles tendon attachment end point are removed.
As a preferred technical solution, a data processing system includes: and marking point naming is carried out on the collected static data and dynamic data, position correction and motion track correction are carried out on the marking points, and the corrected static data and dynamic data are led out.
As a preferable technical scheme, the model construction system comprises a three-dimensional data analysis software, reference coordinate system information of different body segment parts is set, and different body segments are defined according to the reference coordinate system and the mark points for track tracking.
As a preferable technical scheme, the definition of different body segments comprises the following steps of defining a calf rigid body by using mark points of 'medial/lateral femoral condyle, tibial tubercle and medial/lateral condyle' together, and forming a basic identification and relative position and motion angle calculation method of the model.
As a preferred technical solution, the data analysis system: processing the correction data by using the analysis model to obtain motion function evaluation data; the method comprises the following steps: and matching the correction data with the analysis model, respectively defining and correcting the specified action position of each repeated movement, calculating the spatial movement angle information of different segments of the body, and acquiring movement function evaluation data.
The invention has the advantages that:
the integrated analytic data acquisition system comprises a target setting system, a target capturing system, a data processing system, a model building system and a data analysis system; the analysis of the whole body large joint movement and the fine foot movement can be realized simultaneously, the preparation time of a patient before three-dimensional movement evaluation is reduced, and the synchronous consistency of the analysis data of the whole body joint movement and the analysis data of the fine foot movement is ensured; the foot model is optimized, the acquisition time is saved, and meanwhile, the accuracy and the stability of the kinematic data of the foot horizontal plane are improved.
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FIG. 1 is a schematic diagram of an integrated analytical data acquisition system module according to the present invention.
FIG. 2 is a schematic diagram of the mark bit acquisition of an integrated analytical data acquisition system according to the present invention.
Detailed Description
The invention will be further illustrated with reference to specific embodiments. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Furthermore, it should be understood that various changes and modifications can be made by those skilled in the art after reading the disclosure of the present invention, and equivalents fall within the scope of the appended claims.
The reference numerals and components referred to in the drawings are as follows:
22. target setting system 24, target capture system 26, data processing system
28. Model building system 30, data analysis system
Referring to fig. 1, fig. 1 is a schematic diagram of an integrated analytic data acquisition system module according to the present invention. An integrated analytical data collection system comprising:
the target setting system 22: a marking bit for setting a marking point;
in some preferred embodiments, the marker loci include a full body major joint marker locus and a foot minor joint marker locus:
referring to fig. 2, fig. 2 is a schematic diagram of a mark bit acquisition of an integrated analytic data acquisition system according to the present invention. Specifically, the marker sites of the whole body large joint comprise: the seventh cervical vertebra spinous process is deviated from the right, right acromion, left acromion, right humeral lateral epicondyle, left humeral lateral epicondyle, right radius styloid, left radius styloid, right anterior superior iliac spine, left anterior superior iliac spine, right posterior superior iliac spine, left posterior superior iliac spine, right thigh, left thigh, right lateral femur condyle, left lateral femur condyle, right medial femur condyle, left medial femur condyle, right tibial tubercle, left tibial tubercle, right calf, left calf; the foot facet joint mark position comprises: a right lateral malleolus tip, a left lateral malleolus tip, a right medial malleolus tip, a right first metatarsal head medial-lateral, a left first metatarsal head medial-lateral, a right second metatarsal head, a left second metatarsal head, a right fifth metatarsal head lateral-lateral, a left fifth metatarsal head lateral-lateral, a right first metatarsal head medial-lateral, a left first metatarsal head medial-lateral, a right first metatarsal head base, a left first metatarsal head base, a right second metatarsal head base, a left second metatarsal head base, a right fifth metatarsal tuberosity posterior, a left fifth metatarsal tuberosity posterior, a right navicular tuberosity, a left scapula tuberosity, a right trochanter outermost vertex, a left trochanter outermost vertex, a right fibula tubercle, a left peroneus central spine, a left calcaneus central spine, a right tendon attachment termination point, a left tendon attachment termination point; in other preferred embodiments, the small-diameter fluorescent marker points are used as the bony marker points of the medial/lateral malleolus and the foot relative to other marker points, so that the simultaneous stability and accuracy of the whole body large joint movement and foot fine movement data can be ensured, the data acquisition time is saved, meanwhile, the continuity and the synchronism of the shank movement and the foot small joint movement are realized, and the data analysis use efficiency can be improved;
the target capture system 24: the system comprises a motion track for capturing a mark point, wherein the captured data comprises static data and dynamic data;
in some preferred embodiments: acquiring static data and dynamic data through an infrared camera;
the static data is the space position information of the mark point in a static standing state;
the dynamic data is a mark point position moving track in a walking or appointed action state, wherein before dynamic data acquisition, mark positions of a right femoral medial condyle, a left femoral medial condyle, a right achilles tendon attachment end point and a left achilles tendon attachment end point are removed.
The data processing system 26: the static data and the dynamic data are processed and corrected to obtain correction data;
marking point naming and model identification are carried out on the collected static data and dynamic data, marking point position correction and motion trail correction are carried out, and the corrected static data and dynamic data are exported into a c3d file
Model building system 28: constructing an analysis model based on the marking positions of the marking points;
in some preferred embodiments, the three-dimensional data analysis software is used for setting reference coordinate system information of different sections of the body, and defining different body sections according to the reference coordinate system and the mark points for track tracking, wherein the mark points of the 'femur medial/lateral condyle, tibia tubercle and medial/lateral ankle' are used for defining a shank rigid body; the method for determining the coordinate system of the part body segment comprises the following steps:
thigh: the proximal end of the long shaft is the center of the hip joint, the distal end is the center of the knee joint, and the X axis is determined by the connecting line of the lateral femoral condyle and the knee joint center. The hip joint is determined by the pelvis rigid body, and the knee joint center is determined by the connecting midpoint of the lateral condyle of the femur and the medial condyle of the femur.
The thigh mark bit is used for tracking dynamic data;
shank: the proximal end of the long shaft is the knee joint center, the distal end is the ankle joint center, and the X axis is determined by the connecting line of the lateral malleolus tip and the ankle joint center. The center of the knee joint is determined by a thigh rigid body, and the center of the ankle joint is determined by the middle point of the connecting line of the lateral malleolus tip and the medial malleolus tip;
foot: the proximal end of the long shaft is a mark position of the central posterior root spine, the distal end of the long shaft is a projection of the second metatarsal head on a plane formed by the central posterior root spine, the first metatarsal head and the fifth metatarsal head, and a connecting line formed by the projection of the fifth metatarsal head on the long shaft and the fifth metatarsal head determines an X axis;
front foot: the proximal end of the long shaft is a second metatarsal bottom mark position, the distal end of the long shaft is a projection of a second metatarsal head on a plane formed by the second metatarsal bottom, a first metatarsal head and a fifth metatarsal head, and a connecting line formed by the projection of the first metatarsal head on the long shaft and the first metatarsal head determines an X axis;
a middle foot: the proximal end of the long shaft is the midpoint of the connecting line of the scaphoid tuberosity and the fifth metatarsal bottom, the distal end is the marking position of the second metatarsal bottom, and the X axis is determined by the projection of the scaphoid tuberosity on the long shaft and the connecting line of the scaphoid tuberosity;
hind feet: the proximal end of the long shaft is the mark position of the posterior central spine of the radicle, and the distal end is the midpoint of the connecting line between the scaphoid tuberosity and the bottom of the fifth metatarsal. Determining an X axis by a connecting line formed by the projection of the outermost vertex of the sustentaculum chinense on the long axis and the outermost vertex of the sustentaculum chinense;
forming a basic identification and relative position and motion angle calculation method of the model based on the model;
the data analysis system 30: and processing the correction data by using the analysis model to acquire the motion function evaluation data.
In some preferred embodiments, the set model identification and calculation method is matched with the imported dynamic and static data of the patient, the specified action position of each repeated movement is respectively defined and corrected, and the spatial movement angle information of different sections of the body including upper limbs, a trunk, a pelvis, hip joints, knee joints, ankle joints, small joints of the foot and toes in each repeated movement is further calculated, so that the integrated movement function evaluation data of the large joints and the small joints of the foot of the whole body is obtained.
It should be noted that: the integrated analysis data acquisition system comprises a target setting system 22, a target capturing system 24, a data processing system 26, a model building system 28 and a data analysis system 30; the goal-setting system 22 can set the complete "whole body + feet" flag bit at the same time; the target capture system 24 can accurately acquire the motion position and track of each mark position in different states; the data processing system 26 can further optimize the original data, eliminate external interference factors and enable the data to be more accurate; the model construction system 28 can construct an analysis model based on the "whole body + foot" marker position, define a rigid shank body by the fluorescent marker points of the medial/lateral femoral condyle, the tibial tubercle and the medial/lateral condyle, and track the rigid shank body by using the "shank"; the data analysis system 30 combines the analysis model to perform matching analysis on the static data and the dynamic data corrected by the data processing system 26, respectively define and correct the specified action position of each repetitive movement, and further calculate the spatial movement angle information of different sections of the body including upper limbs, trunk, pelvis, hip joints, knee joints, ankle joints, foot small joints and toes during each repetitive movement to obtain the integrated movement function evaluation data of the whole body large joints and the foot small joints; the integrated analysis data acquisition system can realize the analysis of the whole body large joint movement and the simultaneous analysis of the foot fine movement, reduce the preparation time of a patient before three-dimensional movement evaluation, and simultaneously ensure the synchronous consistency of the analysis data of the whole body joint movement and the foot fine movement; the system also optimizes the original foot model, saves acquisition time and improves the accuracy of the foot horizontal plane kinematic data.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and additions can be made without departing from the principle of the present invention, and these should also be considered as the protection scope of the present invention.

Claims (7)

1. An integrated analytical data collection system, comprising:
a target setting system: a marking bit for setting a marking point;
a target capture system: the system comprises a motion track for capturing a mark point, wherein the captured data comprises static data and dynamic data;
a data processing system: the static data and the dynamic data are processed and corrected to obtain correction data;
the model construction system comprises: constructing an analysis model based on the marking positions of the marking points;
a data analysis system: and processing the correction data by using the analysis model to acquire the motion function evaluation data.
2. The integrated analytical data collection system of claim 1, wherein the marker bits include a whole body major joint marker bit and a foot minor joint marker bit:
the marker sites of the large joints of the whole body comprise: the seventh cervical vertebra spinous process is deviated from the right, right acromion, left acromion, right humeral lateral epicondyle, left humeral lateral epicondyle, right radius styloid, left radius styloid, right anterior superior iliac spine, left anterior superior iliac spine, right posterior superior iliac spine, left posterior superior iliac spine, right thigh, left thigh, right lateral femur condyle, left lateral femur condyle, right medial femur condyle, left medial femur condyle, right tibial tubercle, left tibial tubercle, right calf, left calf;
the foot facet joint mark position comprises: right lateral malleolus, left lateral malleolus, right medial malleolus, left medial malleolus, right first metatarsal head medial lateral, left first metatarsal head medial, right second metatarsal head, left second metatarsal head, right fifth metatarsal head lateral, left fifth metatarsal head lateral, right first metatarsal head medial, left first metatarsal head medial, right first metatarsal head base, left first metatarsal head base, right second metatarsal head base, left second metatarsal head base, right fifth metatarsal tuberosity posterior, left fifth metatarsal tuberosity posterior, right scaphoid tuberosity, left scaphoid tuberosity, right trochanter outermost apex, left vectalus outermost apex, right fibula tubercle, left fibula tubercle, right calcaneus posterior central spine, left calcaneus posterior central spine, right achilles tendon attachment termination points, left tendon attachment termination points.
3. The integrated analytical data collection system of claim 2 wherein the target capture system collects the static data, dynamic data via an infrared camera;
the static data is the space position information of the mark point in the static standing state;
the dynamic data is a mark point position moving track in a walking or appointed action state, wherein before dynamic data acquisition, mark positions of a right femoral medial condyle, a left femoral medial condyle, a right achilles tendon attachment end point and a left achilles tendon attachment end point are removed.
4. The integrated analytical data collection system of claim 3, wherein the data processing system comprises: and marking points on the collected static data and dynamic data, correcting the positions of the marking points and correcting the motion tracks, and exporting the corrected static data and dynamic data.
5. The integrated analytical data acquisition system of claim 4 wherein the model construction system includes three-dimensional data analysis software for setting reference coordinate system information for different body segment locations, defining different body segments based on the reference coordinate system and marker points for trajectory tracking.
6. The unified analytical data acquisition system according to claim 5 wherein defining different body segments includes collectively defining a rigid lower leg body using labeled points "medial/lateral femoral condyle, tibial tubercle, medial/lateral condyle".
7. The integrated analytical data collection system of claim 6, wherein the data analysis system: processing the correction data by using the analysis model to obtain motion function evaluation data; the method comprises the following steps: and matching the correction data with the analysis model, respectively defining and correcting the specified action position of each repeated movement, calculating the spatial movement angle information of different sections of the body, and acquiring movement function evaluation data.
CN202110206597.5A 2021-02-24 2021-02-24 Integrated analytic data acquisition system Pending CN114947823A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115500821A (en) * 2022-10-09 2022-12-23 吉林大学 Pelvic segment skeleton system calibration method based on human anatomy

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115500821A (en) * 2022-10-09 2022-12-23 吉林大学 Pelvic segment skeleton system calibration method based on human anatomy

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