CN113049795A - Multi-function test method for knee joint specimen - Google Patents
Multi-function test method for knee joint specimen Download PDFInfo
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- CN113049795A CN113049795A CN202110262296.4A CN202110262296A CN113049795A CN 113049795 A CN113049795 A CN 113049795A CN 202110262296 A CN202110262296 A CN 202110262296A CN 113049795 A CN113049795 A CN 113049795A
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Abstract
The invention discloses a multi-function test method for a knee joint specimen, which comprises the following steps: s1, processing a knee joint specimen; s2, fixing the marking points, and fixing the specimen on an iron stand; s3, data acquisition is carried out by using a motion capture system; s4, the computer builds the model through V3D software; s5, the computer carries out data calculation through V3D software; s6, removing impurities from the data and calculating a flexion-extension angle; s7, the computer carries out simulation measurement on the tendon force, simulation of the movement process and evaluation analysis, and the invention relates to the technical field of clinical medicine. The invention solves the problem that scientific standard data are not usually used for reference in designing and manufacturing joint prosthesis, checking and diagnosing knee joint diseases and knee joint operations.
Description
Technical Field
The invention relates to the technical field of clinical medicine, in particular to a multi-function testing method for a knee joint specimen.
Background
In the prior art, scientific standard data are not usually referred to when the joint prosthesis is designed and manufactured, so that the manufactured prosthesis cannot be well matched with a human body; therefore, the invention provides a multi-function test method for the knee joint specimen, and the knee joint movement locus is tested by the method, so that diagnosis of related diseases of the knee joint is facilitated, and the operation process and the operation result are also facilitated to be evaluated.
Disclosure of Invention
In order to solve the problems that scientific standard data are not generally referred to in designing and manufacturing joint prostheses, inspecting and diagnosing knee joint diseases and knee joint operations, the invention aims to provide a multi-functional test method for a knee joint specimen.
In order to achieve the purpose, the invention adopts the following technical scheme: a multi-function test method for a knee joint specimen comprises the following steps:
s1, processing a knee joint specimen;
s2, fixing the marking points, and fixing the specimen on an iron stand;
s3, data acquisition is carried out by using a motion capture system;
s4, the computer builds the model through V3D software;
s5, the computer carries out data calculation through V3D software;
s6, removing impurities from the data and calculating a flexion-extension angle;
s7, the computer carries out simulation measurement on the tendon force and simulation of the movement process, and evaluation analysis is carried out.
Preferably, in S1, the knee joint specimen is a bone joint stem specimen, and the middle humerus is wrapped with a veil to simulate the thickness of normal soft tissue.
Preferably, in S2, the marker is fixed to the specimen with a double-sided adhesive tape, the position of the marker on the inner or outer side of the humerus is adjusted to determine the coronal plane and the axial line of the humerus, after the marker is firmly fixed, a support iron stand is placed at an appropriate position in the motion capture field, and the specimen is fixed to the iron stand with a pair of bench clamps.
Preferably, in S3, the specimen is controlled to perform different joint movement postures, and the movement is captured by a movement capture camera.
Preferably, in S4, the marker points are named in the collected static data, the coordinate system is defined, and the naming method corresponding to the static data is used in the collected dynamic data, so that the motion trajectory of each motion cycle of the knee joint can be visually displayed by continuously playing each frame of data, and the data of each marker point at a certain time in the corresponding motion cycle can be selectively obtained.
Preferably, in S5, the V3D software calculates the knee joint motion angle based on the model operation function, describes the knee joint flexion/extension motion by using the euler sequence ZXY, and describes the knee joint contraction/extension motion by using the euler sequence XZY.
Preferably, in S6, the wave shaping is performed by using a filter with a scale of 10, so as to eliminate obvious clutter data, and an average curve and a standard deviation curve of the motion angle of the sample knee joint in the sagittal plane and the coronal plane are calculated, and both curves describe the motion data of each frame in the form of "average ± standard deviation", thereby obtaining the F/EROM of the sample knee joint and the angle variation range in flexion and extension motions.
Preferably, in S7, the evaluation analysis result is applied to design and evaluate a prosthesis, check and diagnose knee joint diseases, and evaluate a surgical procedure and results.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the tendon force can be subjected to simulation measurement and simulation movement process by calculating the flexion and extension angles, and evaluation analysis is carried out; according to the invention, the motion trail of each motion cycle of the knee joint can be visually displayed through continuous playing of each frame of data, and the data of each mark point at a certain moment in the corresponding motion cycle can be selected and obtained according to the motion trail; according to the invention, the motion data of each frame of motion is described in the form of 'average value plus or minus standard deviation' by calculating the average curve and the standard deviation curve of the motion angles of the specimen knee joint on the sagittal plane and the coronal plane, so that the F/EROM of the specimen knee joint and the angle variation range in the flexion and extension motion are obtained; the present invention provides for evaluation of the results of the analysis for use in designing and evaluating prostheses, examining and diagnosing knee joint disease, evaluating surgical procedures and results.
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The invention is described in further detail below with reference to the following figures and detailed description:
FIG. 1 is a schematic diagram of the process of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
Please refer to fig. 1. It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
The invention provides a technical scheme that: a multi-function test method for a knee joint specimen comprises the following steps:
s1, processing a knee joint specimen;
s2, fixing the marking points, and fixing the specimen on an iron stand;
s3, data acquisition is carried out by using a motion capture system;
s4, the computer builds the model through V3D software;
s5, the computer carries out data calculation through V3D software;
s6, removing impurities from the data and calculating a flexion-extension angle;
s7, the computer carries out simulation measurement on the tendon force and simulation of the movement process, and evaluation analysis is carried out.
In S1, the knee joint specimen is a bone joint dry specimen, and the middle humerus is wrapped by a veil to simulate the thickness of normal soft tissue.
In S2, the two-sided adhesive tape is used to fix the mark points on the specimen, the positions of the mark points on the inner and outer sides of the humerus are adjusted to determine the coronal plane and the axial line of the humerus, after the mark points are firmly fixed, a support iron stand is placed at a proper position of the motion capture field, and the specimen is fixed on the iron stand by using a pair of bench clamps.
In S3, the specimen is controlled to perform different joint movement postures, and the movement is captured by the movement capture camera.
In S4, the collected static data is named with each marker point, a coordinate system is defined, and the collected dynamic data uses a naming method corresponding to the static data, and the motion trajectory of each motion cycle of the knee joint can be visually displayed by continuously playing each frame of data, and the data of each marker point at a certain time in the corresponding motion cycle can be selected and obtained accordingly.
In the S5, the V3D software calculates the knee joint motion angle based on the operation function of the model, the Euler sequence ZXY is adopted to describe the knee joint flexion/extension motion, and the Euler sequence XZY is adopted to describe the knee joint contraction and extension motion.
In S6, a filter with a scale of 10 is used to perform wave shaping, eliminate obvious cluttered data, and calculate an average curve and a standard deviation curve of the motion angle of the specimen knee joint in the sagittal plane and the coronal plane, where both curves describe the motion data of each frame of motion in the form of "average ± standard deviation", thereby obtaining the F/EROM of the specimen knee joint and the angle variation range in flexion and extension motion.
In S7, the evaluation analysis results are used to design and evaluate prostheses, examine and diagnose knee joint diseases, and evaluate surgical procedures and results.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (8)
1. A multi-function test method for a knee joint specimen is characterized by comprising the following steps:
s1, processing a knee joint specimen;
s2, fixing the marking points, and fixing the specimen on an iron stand;
s3, data acquisition is carried out by using a motion capture system;
s4, the computer builds the model through V3D software;
s5, the computer carries out data calculation through V3D software;
s6, removing impurities from the data and calculating a flexion-extension angle;
s7, the computer carries out simulation measurement on the tendon force and simulation of the movement process, and evaluation analysis is carried out.
2. The method of claim 1, wherein the method comprises: in S1, the knee joint specimen is a bone joint dry specimen, and the middle humerus is wrapped by a veil to simulate the thickness of normal soft tissue.
3. The method of claim 1, wherein the method comprises: in S2, the two-sided adhesive tape is used to fix the mark points on the specimen, the positions of the mark points on the inner and outer sides of the humerus are adjusted to determine the coronal plane and the axial line of the humerus, after the mark points are firmly fixed, a support iron stand is placed at a proper position of the motion capture field, and the specimen is fixed on the iron stand by using a pair of bench clamps.
4. The method of claim 1, wherein the method comprises: in S3, the specimen is controlled to perform different joint movement postures, and the movement is captured by the movement capture camera.
5. The method of claim 1, wherein the method comprises: in S4, the collected static data is named with each marker point, a coordinate system is defined, and the collected dynamic data uses a naming method corresponding to the static data, and the motion trajectory of each motion cycle of the knee joint can be visually displayed by continuously playing each frame of data, and the data of each marker point at a certain time in the corresponding motion cycle can be selected and obtained accordingly.
6. The method of claim 1, wherein the method comprises: in the S5, the V3D software calculates the knee joint motion angle based on the operation function of the model, the Euler sequence ZXY is adopted to describe the knee joint flexion/extension motion, and the Euler sequence XZY is adopted to describe the knee joint contraction and extension motion.
7. The method of claim 1, wherein the method comprises: in S6, a filter with a scale of 10 is used to perform wave shaping, eliminate obvious cluttered data, and calculate an average curve and a standard deviation curve of the motion angle of the specimen knee joint in the sagittal plane and the coronal plane, where both curves describe the motion data of each frame of motion in the form of "average ± standard deviation", thereby obtaining the F/EROM of the specimen knee joint and the angle variation range in flexion and extension motion.
8. The method of claim 1, wherein the method comprises: in S7, the evaluation analysis results are used to design and evaluate prostheses, examine and diagnose knee joint diseases, and evaluate surgical procedures and results.
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| CN202110262296.4A CN113049795A (en) | 2021-03-10 | 2021-03-10 | Multi-function test method for knee joint specimen |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105468896A (en) * | 2015-11-13 | 2016-04-06 | 上海逸动医学科技有限公司 | Arthrosis movement detection system and method |
| CN105902274A (en) * | 2016-04-08 | 2016-08-31 | 上海逸动医学科技有限公司 | Knee-joint dynamic evaluation method and system |
| CN108447563A (en) * | 2018-03-06 | 2018-08-24 | 上海逸动医学科技有限公司 | A kind of joint motions intelligent scoring method and motion of knee joint intelligence rank scores method |
| CN108968973A (en) * | 2018-08-07 | 2018-12-11 | 南通大学 | A kind of acquisition of body gait and analysis system and method |
| CN109381184A (en) * | 2018-10-15 | 2019-02-26 | 刘丹 | A kind of wearable smart machine control method that auxiliary is carried |
| CN111803099A (en) * | 2020-07-21 | 2020-10-23 | 上海海事大学 | Human upper limb muscle force prediction device and method based on radial basis function neural network |
| CN112229617A (en) * | 2020-10-27 | 2021-01-15 | 上海交通大学 | Dynamic loading platform for in-vitro knee joint and application method thereof |
-
2021
- 2021-03-10 CN CN202110262296.4A patent/CN113049795A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105468896A (en) * | 2015-11-13 | 2016-04-06 | 上海逸动医学科技有限公司 | Arthrosis movement detection system and method |
| CN105902274A (en) * | 2016-04-08 | 2016-08-31 | 上海逸动医学科技有限公司 | Knee-joint dynamic evaluation method and system |
| CN108447563A (en) * | 2018-03-06 | 2018-08-24 | 上海逸动医学科技有限公司 | A kind of joint motions intelligent scoring method and motion of knee joint intelligence rank scores method |
| CN108968973A (en) * | 2018-08-07 | 2018-12-11 | 南通大学 | A kind of acquisition of body gait and analysis system and method |
| CN109381184A (en) * | 2018-10-15 | 2019-02-26 | 刘丹 | A kind of wearable smart machine control method that auxiliary is carried |
| CN111803099A (en) * | 2020-07-21 | 2020-10-23 | 上海海事大学 | Human upper limb muscle force prediction device and method based on radial basis function neural network |
| CN112229617A (en) * | 2020-10-27 | 2021-01-15 | 上海交通大学 | Dynamic loading platform for in-vitro knee joint and application method thereof |
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