KR100705753B1 - An apparatus for predicting operation results of equinus gait - Google Patents

Abstract

Disclosed information relates to a device for predicting surgical outcomes of acute pedestrian patients, and tracks one cycle of pedestrian walking patients to measure joint position and muscle and tendon position information and ground reaction information, and to measure joint, muscle, and suggestion by motion analyzer. Analyze the dynamics and index information of joints, muscles and tendons based on the positional information and ground reaction information, and perform the muscle and tendon surgery virtually based on the analyzed data of the joints and muscles and tendons. Perform pedestrian prediction simulation for pre and post-operative evaluation, compare and analyze the results of pedestrian prediction simulation with joint and muscle and tendon information of normal people, and the simulation results and joint and muscle information of normal person If the data and the indicator information match, the prescribing data about the patient's symptoms and the actual surgery are based on the data used for the virtual muscle tendon surgery. Create data to be applied.

Therefore, the present invention can perform the quantitative diagnosis and rehabilitation process evaluation of the pedestrian walking patient, predict the pre- and post-operative surgery through predictive simulation to perform the optimized surgery, easy access by clinical professionals time This can lead to cost savings and manpower.

Peak walking, gait analysis, muscle and tendon, joint, diagnostic index, prediction simulation

Description

An apparatus for predicting operation results of equinus gait}

1 is a block diagram schematically showing the configuration of a surgical result predicting device of the spiree walking patient according to the present invention,

Figure 2 is a view for explaining a gait analysis process of the cusp walking patient used in the present invention,

Figure 3 is a schematic diagram of the muscles and tendon in which the anatomical position of the lower limb to which the optical marker used in the gait analysis of the present invention is attached and the disease of the acute pedestrian patient occurs;

4 is a schematic diagram of a joint model for the analysis of joint dynamics of the spiree walking patient,

5 is an anatomical schematic of the knee and ankle for the mathematical model of muscles and tendons,

FIG. 6 is a schematic diagram of a model for evaluating foot movement characteristics of a cusp walking patient and numerically indicating a symptom degree; FIG.

Figure 7 is a flow chart illustrating in detail the operation of the surgical result predicting device of the spiky walking patient according to the present invention.

Explanation of symbols on the main parts of the drawings

100: motion analyzer

200: data analysis unit

300: database

400: simulation module

500: comparative analysis unit

600: display unit

The present invention relates to an apparatus for predicting the surgical outcome of a cusp walking patient.

More specifically, by measuring and analyzing the kinematic and kinematic information of the muscles (muscles), tendons, and joints of the scapular pedestrians and comparing them with the normal information, quantitatively determining the stiffness and shortening of the muscles and tendons, The present invention relates to a diagnosis of acute pedestrian patients, a surgical result predictive device, and a method for predicting a surgical result by performing a simulation of muscle and tendon surgery.

In general, surgery on the muscles and tendons, in order to reduce muscle stiffness and correct muscle shortening, Tenotomy, Tendon lengthening, Myotomy, Aponeurotic lengthening, Muscle retraction Muscle recession is used, and tendon transfer and muscle transfer are used to correct muscle imbalance.

However, when diagnosing a patient with abnormalities in the musculoskeletal system, imaging equipment such as X-rays, magnetic resonance imaging (MRI), and computer tomography (CT) are commonly used. It is possible to measure the static state of the patient sitting or lying down, there was a problem that can not be used for diagnosis by measuring the dynamic state of the patient walking or daily life.

Recently, a gait analysis device for analyzing a patient's motion state has been developed and utilized for diagnosis. However, even when performing a motion analysis using such a gait analysis device, a visual evaluation of a joint's relative angle, moment, and power is performed. Surgery and prescription has only been based on the clinical experience or subjective judgment of the analytical expert. Therefore, diagnosing and evaluating musculoskeletal patients with conventional pedestrian analysis method cannot not only measure the epidemiological information of muscle and tendon but also have to go through various steps such as collecting, processing, analyzing, and comparing with normal information. As a result, patients waste a lot of time, and each step requires an analytical expert or a clinical expert.

Therefore, quantitative indicators can be presented through kinematic and kinematic models of muscle and tendon for diagnosis and prescription according to the symptom level of the patients with acute gait walking, and the patient's model can be automatically predicted before and after surgery. Development of integrated solutions is urgently needed.

An object of the present invention to solve the above-mentioned problems, by comparing and analyzing the kinematic information of the musculoskeletal patients during the walking operation with the information of the normal person to quantitatively diagnose the disease and to evaluate the rehabilitation process The present invention provides a device for predicting surgical outcome of walking patients.

Another object of the present invention, by presenting a model that can perform a simulation for preoperative preoperative evaluation of the muscle and tendon based on the kinematic information of the musculoskeletal patients, the operation of the pedestrian walking patient to achieve the optimized surgery The present invention provides a prediction apparatus.

Still another object of the present invention is to remove the limitations of time and manpower by performing an integrated solution of various steps of collecting, processing, analyzing, and comparing information performed during gait analysis of musculoskeletal patients. The present invention provides a device for predicting the surgical outcome of a pedestrian patient that can be easily and conveniently used by experts.

Surgery result predicting device of the spiking pedestrian patient according to the present invention for achieving this object, the motion analyzer to measure the position information and ground reaction information of the joint and muscle and tendon by tracking one cycle of the spiking pedestrian patient, motion analyzer A data analysis unit for analyzing the position information and ground reaction information of the joint, muscle and tendon of the cusp walking patient, and quantifying the mechanical information of the joint and muscle and tendon in the patient's dynamic state and the indicator information according to the degree of disease, It stores the mechanical and index information of the joints, muscles, and muscles of existing patients and normal people, and the database that stores the mechanical and index information of the joints, muscles, and muscles of the patients who have been analyzed by the data analysis unit. Therefore, muscle and tendon surgery was performed based on the mechanical and index information of joints, muscles, and tendons of the pedestrians walking in the database. Simulation module for performing walking prediction simulation for postoperative muscle and tendon surgery performed virtually, and pedestrian prediction simulation results for muscle and tendon surgery performed in the simulation module and stored in the database. Analyze the mechanical and index information of the joints, muscles and tendon of normal people and compare the results.If the simulation results of the acute walking patient match the information of normal people, the patient's symptoms are based on the data used in the virtual surgery of the muscle and tendon. Comparative analysis unit for generating prescription data and data to be applied to the actual operation, and display the analysis results in the dynamic state of the peak walking patient performed in the data analysis unit, and simulated surgery and postoperative walking performed in the simulation module unit Display predictive simulation results, generated by comparative analysis It characterized in that it comprises a display for displaying the data to be applied to the prescription data and the actual operation of the symptom of the patient.

In addition, according to the present invention, the method of diagnosing acute pedestrians and predicting the outcome of surgery may be performed according to the mechanical and index information of the joints, muscles, and tendons of the existing patients and normal people, and the mechanical information and the degree of disease of the joints, muscles, and tendons of the pleural patients. Building a module to quantify the indicator information as a database, measuring the joint and muscle and tendon position information and ground reaction information by tracking one cycle of the pedestrian walking using a motion analyzer, and analyzing the data Analyze joint and muscle and tendon dynamics information and index information according to disease level based on joint position and muscle and tendon position information measured by motion analyzer in the unit, and analyze by data analysis unit in simulation module Performing muscle and tendon surgery virtually according to the operator's manipulation referencing the analytic data of joint and muscle and tendon and index information Performing gait prediction simulation for pre and post muscle and tendon surgery evaluation based on the virtual and tendon surgery result data virtually performed in the simulation module unit; Comparing and analyzing the results of the pedestrian prediction simulation, joint and muscle and tendon information and indicator information of the normal person stored in the database, and the result of performing the pedestrian prediction simulation and the joint and muscle and tendon information of the normal person And the step of judging whether the indicator information matches, and if the result of the gait prediction simulation and the joint and muscle and tendon information and indicator information of the normal person match, the data used for the corresponding muscle and tendon surgery in the comparison analysis unit. To generate prescription data about the patient's symptoms and data to be applied to the actual surgery. The following is characterized by including the step.

Hereinafter, with reference to the accompanying drawings will be described in detail the surgical result predicting device of the spiky walking patient of the present invention.

Figure 1 is a block diagram schematically showing the configuration of the surgical results predicting device of the pointed foot walking patient according to the present invention.

As shown in the figure, the motion analyzer 100 tracks one cycle of the pedestrian walking patient to measure position information and ground reaction information of joints and muscles and tendons, and measures the measured position information and ground reaction information of joints and muscles and tendons. Output to the data analysis unit 200.

The motion analyzer 100 described above includes a plurality of optical markers (not shown) attached to main anatomical positions of the lower extremity walking patient's lower limbs, which are the measurement of the dynamic state trajectory, and the lower extremity of the lower limbs of the short walking patient, which is the electromyography measurement target. A plurality of electromyogram (EMG) electrodes (not shown) attached to an anatomical position, a plurality of infrared cameras 130 for photographing position information during one cycle of walking of a steeple patient with a plurality of optical markers; Is installed on a certain space that the pointed foot patient walks linearly, a plurality of ground reaction device 140 for measuring the ground reaction force generated when the pointed foot patient supports the ground and a plurality of optical markers The 3D image is constructed based on the 3D coordinate values input from the plurality of infrared cameras 130 photographing the pedestrian walking patient to derive the position information of the joint and muscle and tendon of the patient. Is composed of a motion capturer 150 (see FIG. 2).

At this time, it is preferable to use 16 optical markers, 2 EMG electrodes, 6 infrared cameras, and 2 ground reaction devices. Measure with 1 cycle.

The data analysis unit 200 analyzes joint position, muscle and tendon position information and ground reaction force information of the peak walking patient measured by the motion analyzer 100, and analyzes the dynamics and diseases of the joint and muscle and tendon in the dynamic state of the patient. The indicator information according to the degree is quantified and stored in the database 300.

The above-described data analysis unit 200, the SIEG (Severity Index of Equinus Gait) module 210 for quantifying the information according to the degree of disease of the pedestrian patients, and muscles and tendon in the dynamic state of the pedestrian patients Muscle and tendon motion analysis module 220 for analyzing motion information, joint motion analysis module 230 for analyzing joint motion information in the dynamic state of the peaked patient, and joint kinematics in the dynamic state of the peaked patient. It consists of a joint dynamics analysis module 240 for analyzing information.

The database 300 constructs a database of marker trajectory information, ground reaction force information, indicator analysis information, muscle and muscle motion analysis information, joint motion analysis information, joint dynamic analysis information, etc. of existing patients and normal people, and includes a data analysis unit ( The mechanical and index information of the joint, muscle and tendon of the culprit walking patient analyzed in 200) is stored.

The simulation module 400 virtually performs muscle and tendon surgery on the basis of mechanical information and index information of joints, muscles, and tendons of the cusp walking patients stored in the database 300 according to the operator's manipulation. A gait prediction simulation is performed for evaluation after tendon surgery.

In the above-described simulation module 400, the operator inputs numerical values based on mechanical and index information of joints, muscles, and tendons of the climax walking patient stored in the database 300, and controls them in a three-dimensional graphic environment. The walking of the muscle and tendon surgery module 410 that supports the operation of the tendon and the muscle and tendon surgery of the patient, which is virtually performed through the muscle and tendon surgery module 410, to predict the walking state of the patient. It consists of a simulation module 420.

Comparative analysis unit 500 is implemented based on the neural network algorithm, the gait prediction simulation results for muscle and tendon surgery performed in the simulation module 400 and the joints, muscles, and muscles of normal people stored in the database 300 Analyze and analyze the epidemiologic and indicator information of the case, and if the simulation results of the corresponding peak walking patient match the information of the normal person, the prescribing data and the actual operation of the patient's symptoms based on the data used for the virtual and tendon surgery Create data to be applied to. In other words, the simulation results of the peaked walking patients are consistent with the information of normal people, which means that the treatment area of the patient works normally after the actual operation, and that the most appropriate and appropriate treatment and surgery according to the symptoms of the patient can be performed. it means.

The display unit 600 is a part where a practitioner, a clinician, and the like can check various conditions and simulation results of the culprit patient, and display an analysis result in a dynamic state of the culprit patient performed by the data analyzer 200. , And displays the simulation results of virtual surgery and postoperative walking prediction performed by the simulation module 400, and displays prescription data and data to be applied to the actual surgery of the patient's symptoms generated by the comparison analyzer 500. .

FIG. 2 is a view for explaining a gait analysis process of a culprit walking patient used in the present invention, and secures a global reference frame and an analysis space through static and dynamic calibration steps, and attaches to a cub walking patient walking. The location information of one optical marker is acquired by six infrared cameras 130 in three-dimensional coordinate values. The three-dimensional coordinate values thus obtained are used as basic information for performing dynamic simulation during one cycle of walking in the motion capture device 150. In addition, the ground reaction force extracted by the two ground reaction units 140 is tracked for one cycle of walking to synchronize the position information and the ground reaction information at the same time, and the artificial side information is added to perform mechanical analysis of joints and muscles and tendons. Do it.

Figure 3 is a schematic diagram of the muscles and tendon in which the anatomical position of the lower limb to which the optical marker used in the gait analysis of the present invention is attached and the disease of acute gait patients occur.

As shown, the optical markers attach to anatomical locations of the pelvis, thigh, shank, foot, etc. of the pleural patient. For example, four (112a to 112d) are attached to both front and rear iliacs of the pelvis, four (114a to 114d) are attached to both thighs and lower thighs, and both heel and ulna Four (116a-116d) are attached to the metatarsal, and four (118a-118d) are attached to both femoral epicondyles and the malleolus.

FIG. 4 is a schematic diagram of a joint model for arthrodynamic analysis of a sharp-footed patient, and is a schematic diagram of a joint model for extracting a relative angle, moment, and power generated in the lower extremity joint.

As shown, the relative angle of the ankle joint indicates the relative position that occurs between the lower leg and the ankle segment, and includes the flexion / extension, inversion / version, and medial / external rotation. Internal / external rotation).

In addition, the kinematic analysis using the ground reaction force is performed to extract the moment and power, and the equation for _{obtaining the ankle} and _mankle based on the FBD is as follows.

F _ankle + W _foot + F _r = mass _foot * a _{foot at CG}

Moment = M _ankle + T _z + Moment corresponding to F _ankle + Moment corresponding to F _r

In the above equation, the values to be obtained are F _ankle and M _ankle , and the remaining variables are values that can be extracted from the infrared camera 130 and the ground reaction machine 140. F _r is the ground reaction force, W _foot is the weight of the ankle segment, a _{foot at CG} is the acceleration at the center of gravity of the ankle segment, and T _z is the ground reaction torque.

FIG. 5 is an anatomical schematic diagram of a knee and ankle for a mathematical model of muscles and tendons, which can be used to evaluate dynamic movements of the muscle and tendon complexes. In other words, based on the optical markers attached to the anatomical landmarks for the three-dimensional movement of the muscle, the anatomical origin and insertion of the muscle and tendon complex were measured, and then the length change during walking was measured. It can be estimated. Here, L ₁ represents the length of the circumference surrounding the condyle of the knee, and L ₂ represents the total length up to the Achilles tendon except the portion surrounding the family. Therefore, the length of the soleus muscle complex acting as the main extensor muscle between the knee joint and the ankle joint can be expressed as the sum of L ₁ and L ₂ .

FIG. 6 is a schematic diagram of a model for evaluating foot movement characteristics of a cusp walking patient and numerically indicating a symptom degree.

As shown, scapular gait is a disease caused by neurological abnormalities such as cerebral palsy and paralytic muscular dysfunction due to muscular dystrophy, idiopathic factors. Peak-pedestrian patients do not perform cloud movements using the forefoot while walking, and exhibit walking characteristics using only the cloud movements of the forefoot. Therefore, the peak walking patient has excessive changes in the relative angle, moment and power of the ankle, and tends to lift the posterior part by this characteristic, and excessive lifting phenomenon occurs as the severity of symptoms increases.

Therefore, in order to evaluate the symptom of the cusp, the position of the optical marker attached to the posterior part is zeroed through a calibration process and quantified using the foot length of the patient. Finally, the height change is integrated based on the stance phase section during walking.

1) Calibration Step

로 정의된다.Initializing the position of the rearfoot marker in the static standing state,

Is defined as

: 보행중(D) 발생하는 후족부 마커의 위치 변화here,

: Change of position of posterior foot marker that occurs during walking (D)

: 정적서기 상태(S)에서 후족부 마커의 위치이다.

: The position of the posterior foot marker in the static standing state (S).

2) Normalization Step

로 정의된다.Quantifying the positional change of the posterior foot optical marker by the length of the foot for quantitative comparison between the experimenters

Is defined as

: 보행중(D) 발생하는 후족부 마커의 위치 변화here,

: Change of position of posterior foot marker that occurs during walking (D)

: 정적서기 상태(S)에서 후족부 마커의 위치

: Position of the posterior foot marker in the static standing state (S)

: 실험자의 족부길이이다.

: Foot length of experimenter.

The pattern change of the posterior part quantified through the above two steps is expressed by integrating the movement of the section from the initial point to the final point in order to express the total change amount during the standing period. The index indicating the lifting phenomenon of the rear foot is as follows.

Where HC (t): initial contact time (Heel contact time)

        TO (t): Fore off time

Next, an embodiment of a method for diagnosing and predicting a surgical result of a cusp walking patient according to the present invention configured as described above will be described in detail with reference to FIG. 7.

Figure 7 is a flow chart showing in detail the operation of one embodiment of the method of diagnosing and predicting the operation results of the spiree walking patient according to the present invention.

First, a module is constructed as a database for quantifying the mechanical information and index information of joints and muscles and tendons of existing patients and normal people, and the index information according to the degree of disease and joint information of muscles and tendons of acute walking patients (S100). . That is, the basic data such as index information, kinematics, and kinematics information for the existing patients and normal people are built into a database, and the index analysis module and muscle and muscle motion analysis module for quantitative evaluation of the peak walking patient to which the present invention is applied. , Database of joint motion analysis and joint dynamics analysis.

If it is difficult for the practitioner, a clinical expert, etc. to immediately determine the operation of the climax, the motion analyzer 100 tracks the 1 cycle of pedestrian walking and uses the motion information of the joints, muscles and tendons, and ground reaction information. Measure (S200). That is, a plurality of optical markers are attached to the main anatomical position of the lower extremity gait patient, and the position information and the ground reaction force information during one cycle of walking of the patient walking linearly in a predetermined space to which the ground reaction force is attached are measured.

After measuring the position information and ground reaction information of the joint, muscle, and tendon of the culprit patient, the data analyzer 200 determines the dynamic information and disease degree of the joint, muscle, and tendon based on the corresponding data measured by the motion analyzer 100. Analyze the index information according to, and stores the analysis result in the database (300) (S300). That is, referring to the index analysis module, the muscle and tendon motion analysis module, the joint motion analysis module, and the joint dynamic analysis module stored in the database 300, the symptom degree of the peak walking patient is quantified.

After quantifying the degree of symptom of the culprit walking patient, the simulation module 400 determines the muscle and muscle according to the operator's manipulation of referring to the analysis data of the joint and muscle and tendon and the index information analyzed by the data analyzer 200. The surgery is performed virtually (S400). In other words, the operator directly inputs the surgical value using 3D graphics, and virtually performs the surgery (eg, increases the Achilles tendon) through the graphic control.

After performing the muscle and tendon surgery virtually, the simulation module 400 performs a walking prediction simulation for evaluation before and after the muscle and tendon surgery based on the virtually performed muscle and tendon surgery result data (S500). That is, after the virtual surgery, the simulation of how the patient's walking state changes.

After performing the gait prediction simulation for the evaluation before and after the muscle and tendon surgery, the comparison analysis unit 500 performs the results of the gait prediction simulation for the evaluation before and after the muscle and tendon surgery and the joints of normal persons stored in the database 300. And comparatively analyze the near-incident information and the indicator information (S600).

The comparison analysis unit 500 determines whether the result of performing the gait prediction simulation and the joint and muscle and tendon information of the normal person and the index information match (S700). If this value is the same as a normal person, this means that the patient's treatment area works normally after the operation, so that the most appropriate and appropriate treatment and surgery can be performed according to the patient's symptoms.

If the result of the gait prediction simulation and the normal and joint and muscle and tendon information and indicator information of the normal person match, the comparison analysis unit 500 determines the symptoms of the patient based on the data used for the virtual muscle and tendon surgery. Generate and display prescription data and data to be applied to the actual operation (S800). That is, the comparison analysis unit 500 compares the simulation results with the results of the analysis of the joint and muscle and muscle dynamics of the normal person to provide the operator with the most appropriate surgical method and quantitative information necessary for the operation.

Herein, while the present invention has been described with reference to the preferred embodiments, those skilled in the art will variously modify the present invention without departing from the spirit and scope of the invention as set forth in the claims below. And can be changed.

As described above, according to the apparatus for predicting the operation result of the acute walking patient of the present invention, the cerebral palsy and polio patients who have a sharp walking have a kinematic and kinematic measurement during the most systematic and standardized gait motion of the human body rather than a static state. By performing and comparing and analyzing the patient's information with the information of the normal person and providing it to the clinic, it is possible to quantitatively diagnose the disease of the acute walking patient and to evaluate the rehabilitation process.

In addition, based on the kinematic information of the pedestrians walking patients, prediction simulation for preoperative preliminary evaluation can be performed to predict before and after surgery, so optimized surgery can be performed. As a result, time, cost, and manpower can be saved.

Claims (9)

A motion analyzer that tracks a gait cycle of a cusp walking patient and measures position information and ground reaction force information of joints, muscles and tendons; Analyze the joint position, muscle and tendon position information and ground reaction force information of the peak walking patient measured by the motion analyzer to quantify the mechanical information of the joint and muscle and tendon in the patient's dynamic state and the indicator information according to the degree of disease part; A database storing mechanical and index information of joints and muscles and muscles of existing patients and normal persons, and storing joint and muscle and muscle information of the peak and pedestrian patients analyzed by the data analyzer; Based on the mechanical and index information of the joints, muscles and tendon of the pedestrians walking in the database, the results of walking prediction simulation for the evaluation of muscle and tendon surgery performed through the muscle and tendon surgery module of the simulation unit and the normal persons stored in the database Analyze the mechanical and index information of the joints, muscles and tendons, and compare the results.If the simulation results of the pedestrians are consistent with the information of the normal person, the patient's symptoms are prescribed based on the data used for the virtual muscles and tendon surgery. A comparison analyzer generating data and data to be applied to an actual surgery; And Displaying the analysis results in the dynamic state of the peak walking patient performed in the data analysis unit, and displays the simulation results of virtual surgery and postoperative walking performed in the simulation module unit, the corresponding generated by the comparison analysis unit And a display unit for displaying prescription data of the patient's symptoms and data to be applied to the actual surgery. The method of claim 1, wherein the motion analyzer, A plurality of optical markers attached to major anatomical locations of the lower extremities of the culprit patient to be measured for the dynamic state trajectory; A plurality of EMG electrodes attached to the main anatomical position of the lower limbs patient to be measured EMG; A plurality of infrared cameras for photographing positional information during one cycle of walking of the sharp-pedestrian patient with the plurality of optical markers; A plurality of ground reaction devices installed on a predetermined space in which the peak walking patient walks linearly and measuring ground reaction force generated when the peak walking patient supports the ground; And It includes a motion capture device for constructing a three-dimensional image based on the three-dimensional coordinate values input from the plurality of infrared cameras photographing the pedestrian walking patient with a plurality of optical markers to derive the position information of the joint and muscle and muscle of the patient Surgery result predicting device for a spiky walking patient, characterized in that. The method of claim 2, wherein the optical marker, A device for predicting the operation outcome of a pedestrian patient, characterized in that it is attached to the anterior and posterior iliac bone, both the femur and the lower leg, both the heel and the ulna, and both the femoral ridge and the ankle bone of the pleural patient. The method of claim 2, wherein the plurality of EMG electrodes, A device for predicting surgical outcomes of acute pedestrian patients, characterized in that it is attached to the gastrocnemius and soleus muscle of the pleural patient. The method of claim 1, wherein the data analysis unit, An index analysis module for quantifying information on the degree of disease of the spiking gait patient based on joint position, muscle and tendon position information and ground reaction force information input from the motion analyzer; A muscle and muscle motion analysis module for analyzing muscle and muscle motion information in the dynamic state of the spiking gait patient based on joint position and muscle and muscle position information and ground reaction force information inputted from the motion analyzer; A joint motion analysis module for analyzing joint motion information in the dynamic state of the spiking gait patient based on the joint position, muscle and tendon position information and ground reaction force information inputted from the motion analyzer; And Surgery of the pedestrian patient, characterized in that it comprises a joint dynamic analysis module for analyzing the joint kinetics information in the dynamic state of the pleural patient based on the position information and ground reaction information of the joint, muscle and tendon input from the motion analyzer Result predictor. The method of claim 1, wherein the simulation module unit, A pedestrian walking module comprising a gait simulation module for predicting a walking state of a patient subject to muscle and tendon surgery on a basis of muscle and tendon surgery result data virtually performed through the muscle and tendon surgery module to generate three-dimensional graphics. Predictive device for surgical outcome of patients. delete delete delete

Images