201121525 VI. Description of the invention: [Technical field to which the invention belongs]
After the analysis, the results of the quantitative parameters were obtained, and finally the clinical treatment was used as a reference. The present invention relates to one type; room & W7 can. 钵 · ^上· „ About the unified system. The present invention provides a human-computer interaction mode, which can help train the upper limb movement of the patient. Techniques] The defect of upper limb movement after stroke is one of the most important sequelae. About 2/3 of stroke patients will have functional defects of upper limbs. In the initial stage of stroke, there will be 8% of patients with upper limb function defects. 4% of patients with upper extremity dysfunction still exist, so in the recovery period of upper limb motor function in patients with hemiplegia, there will often be a lack of function, which affects the performance of daily life function. How can effectively evaluate patients with stroke hemiplegia The upper limb function is an important issue for rehabilitation professionals. However, the common upper limb problems of patients after stroke have muscle tension changes, abnormal coordinated movements, and lack of coordination between joints. Therefore, when these patients move up the upper limbs, there will be slow and uncoordinated movements that are different from ordinary people, resulting in inconvenience in life. It is often used as an evaluation method for upper limb function after stroke. The motion analysis system commonly used in rehabilitation of upper limb movements includes 201121525 VICON, FASTRAK and other spatial analysis systems, which have the advantage of measuring more parameters and accuracy. High, but the disadvantage is to install multiple sensors in a fixed space's time spent setting up and subsequent data analysis, and need to be accompanied by professionals. There are also commonly used upper limb rehabilitation assessment scales like Fugl_meyer, Bmnnstrom Ashworth, etc., can assess the upper limb function level of patients, but it also requires professionals to accompany the assessment, which takes more manpower and time. However, the common point of these assessment tools is to be able to assess the functional function of the upper limb movement of the patient. Although they have their application value in related clinical research, if a simple use of the upper limb motion evaluation system can be established, it can be provided as a reference for clinical physiotherapists, which can benefit more patients and reduce The pressure of the therapist. [Disclosed] The technical problem to be solved by the present invention
In the prior art, the evaluation of the upper limb function has an optical motion analysis system and a professional evaluation scale (Fugl-meyer, Brunnstrom), etc., but these prior art must be accompanied by a professional operation, and the optical motion analysis system high cost. Because clinical physiotherapists assess whether there is a defect in upper limb function, they can only rely on some scales for evaluation, and an action analysis system that provides objective upper extremity kinematic parameters is expensive and difficult to operate. Therefore, this study provides a system for easy evaluation and training of simple upper limb functions that is easy to operate and low in cost. By measuring the difference of upper limb functional impairment, the relationship between the kinetics of the martial arts and the function of the upper limbs is evaluated. The upper limb function is evaluated by the characteristics of kinematics. 201121525 The purpose of simple upper limb function assessment can be provided to the clinic. The basis for personnel as a reference. Another object of the present invention is to provide an effective clinical evaluation system for the upper limb movement function of a stroke patient, and using the acceleration gauge and the electronic ruler and related data to complete the system architecture of the present invention will help reduce the upper limb movement of the stroke patient. The lack of function remains and enhances the performance of daily life functions, thereby promoting the quality of life of stroke patients. Technical Solution for Solving the Problems The technical means adopted by the present invention to solve the problems of the prior art is to provide an appropriate number of accelerometers at the shoulder shoulders of the upper limbs of the subject and the wrist, and the first end of the electronic ruler is positioned. In a properly fixed place such as the shoulder of the upper limb of the subject, and the second end is positioned at the place where the training is to be evaluated, such as the wrist of the upper limb of the subject. The analog signal sensed by the accelerometer and the electronic ruler is sent to a computer platform through the data acquisition interface and the analog to digital converter. Using the characteristics of sensors such as accelerometers and electronic rulers, and the virtual reality of human-machine interface visual feedback on the computer platform, all patients with upper limb function defects, such as stroke hemiplegia patients, can be evaluated and trained. After the system analysis, the results of the quantitative parameters are obtained, and then the visual feedback is used to achieve the purpose of training, and finally the clinical therapist is used as a reference. The present invention compares the efficacy of the prior art. The present invention is based on the convenience of operation and low cost, and the characteristics of the three-axis acceleration gauge and the electronic ruler are combined with the human-machine interface to evaluate the stroke hemiplegia.
201121525 Functionality of the upper limb of the patient. ^ Ming provides - a system for easy domain function evaluation and compilation. This H, 4* thorough acceleration gauge and electronic ruler (four) test (four) characteristics, with computer flat: = built human-machine interface and numerical analysis program, can be used for stroke patients with hemiplegia:: after analysis to obtain quantitative parameters As a result, it is obtained that the subject's upper limbs = learning parameters are inclined to perform the motor function of the upper limbs of the patient and provide the interaction of the human-machine interaction feedback, so that the upper limbs can obtain the effect of the occupational health training, and finally the basis of the clinical therapist as a reference. . By measuring the financial bias, the affected side and the healthy side were analyzed by Xiang and simultaneous manual analysis, and the upper limb function can be evaluated in a sturdy manner to achieve the purpose of simple upper limb function evaluation. In the use of the present invention, in order to save the use of professional medical personnel, as long as the general care can operate the system, and can achieve the goal of simple upper limb assessment, and then add people to calculate the accuracy of the (10) cake estimate. The evaluation method can be divided into several levels to make the entire evaluation system more complete. In the future work considerations of the present invention, in the experimental evaluation training process: 'the relevant parameters can be recorded, combined with the function of the Internet, the data is transmitted to the remote rehabilitation physician, according to the evaluation content of the system. Through the network video instructions to do more advanced step-up training exercises, so that stroke patients do not use 4 doctors to return to the doctor, it really reduces the waste of medical resources. Other objects and effects of the present invention will be further clarified by the following examples and accompanying drawings. 201121525 [Embodiment] > FIG. 1 is a schematic diagram of a circuit system of the present invention. The upper limb motor function evaluation and training system of the stroke hemiplegic patient of the present invention includes a first acceleration gauge U, a second acceleration gauge 12, an electronic scale (P〇tenti〇meter), a data capture interface 14, and an analogy. To the digital converter 15, a computer platform 16. The computer platform 16 can be a general commercial computer system or a special (four) bit control system, which can be configured - a display 17 and a memory device 18. The first acceleration gauge u, the second accelerometer 12, and the electronic scale η are connected to the data capture interface 14, and the analog capture signal of each sensor is taken by the data capture interface 14, and the analogy to the digital converter 15 The analog signal is converted to a digital signal and sent to the computer platform 16 for analysis. The first accelerometer 11 and the first accelerometer 12 can adopt the two-axis accelerometer of the commercial ADXL330, which uses the MEMS micro-electromechanical operating voltage to support the low-voltage production of 1.8-3.6V, the highest detectable The gravity acceleration of the soil is measured by a static capacitance induction type. The electronic ruler 13, also known as a potentiometer, can be used to measure displacement. The most important feature of the electronic ruler is linearity. The so-called linearity is the distance between each movement of the swing arm. The precision resistor inside will produce a voltage change proportional to the distance, regardless of the amount of the arm. The invention uses the electronic ruler 13 with the acceleration gauges 11, 12 for the measurement and analysis of the upper limb motion and the training of the visual feedback. Since the electronic ruler can measure the linear motion, the acceleration gauge can measure the three-dimensional motion, and the appropriate The electronic ruler is equipped with an accelerometer placement position to measure linear linearity and angle changes, such as: forward hand movement, hand movement to the side, hand movement 201121525 action, and so on. The data capture interface 14 can be implemented by the commercial NI pci_62n data manipulation interface (DAQ) and its extended version CB_68LpR, and the analog type electrical signals of the respective sensors are processed to the computer platform 16 for analysis. The DAQ card has 16-bit resolution, 250k/s sampling rate, and 16 analog input channels. It can simultaneously operate the first acceleration gauge, the second acceleration gauge 12, and the electronic scale 13 & signal for subsequent processing. The analysis interface 14 can also be used to measure the interface φ as a data transmission interface, which can make the whole system more portable. The software used in the computer is the LabVIEW as a human-machine interface and the numerical analysis program is used to create a human-machine interface. A virtual instrument with similar appearance and operation to the actual instrument can be designed. Referring to Figure 2, before the upper limb assessment of patients with stroke hemiplegia, let the subject 2 (a stroke hemiplegia patient) sit at the appropriate distance in front of the test table 3, and at the wrist of the affected person 2 on the affected side 21 Wear the active wristband of the Devil's number, set the first acceleration gauge n on the shoulder of the shoulder (嶋mi— • position, fixed with breathable tape, and the second acceleration gauge 12 is set on the wrist of the wrist. In the middle of the styloid process (radial styi〇id pr〇ces〇 and ulnar styloid process (η〗 (10)犷_〇id pr〇cess), and the middle finger extension line is fixed with the devil's felt and breathable tape. The second end 13a of the electronic ruler 13 is fixed on the shoulder clavicle of the affected side 2, and the second end of the electronic ruler 13 is fixed at the position of the styloid process of the wrist of the subject 2 _ 21, using the devil's dry and the ventilated temperament After placing all the sensors, you can use the elastic bandage to fix the torso of the tester 2. Measure the length of the 2 f arm of the subject and the length of the upper and lower arms of 201121525 degrees, and record and place a target on the table. 4, the position that the subject can take 2 hands #length and can be grasped. The purpose of the object 4 is to enable the subject 2 to have a target during the experiment, so that the subject 2 can smoothly obtain the data. When performing the rehabilitation evaluation and training, the display 17 can provide a human-computer interaction. Feedback on the human-machine interface. As shown in Figure 3, the starting point of the subject's 2 hand forward is ρι = = 2, the elbow angle is fixed at 90 degrees (no degree), the hand corner = The method of measuring is based on the 01ecranon process as the original point. The angle of the shoulder of the shoulder is measured at the angle of the shoulder and the styloid process of the wrist. The hand is terminated. The maximum distance, while the stroke patient accepts (four) t the front side reach distance is based on the distance that can be achieved by the active action. Setting: The tester 2 sits on the chair in front of the test table 3 to complete each sensor: Evaluation step. Subject 2 hears the test start indication ', and touches the most advanced way to touch the end point that has been set at the forefront, and puts the action on the table along the test table 3 to draw the upper and middle movements. Just try to stretch in the dry down. For example, V Ding: When you try, you can design The movement diagram of the various movement patterns pi shows the hand movement of the hand part of the undetected person 2 at the starting point. 1 (4) The hand of the subject 2 is displaced to the side (direction (10) hand movement spear sound Figure: The hand of the tester 2 is not moved forward - the angle (two ® 1 7 system _ the hand movement diagram of the forearm of the subject 2 is turned. The affected side 2' ΐ one hand without the system The experimental test items of 仃 can also be: (1) and the side of the healthy side 22 grasping the target of the horizontal tabletop; (2) the affected side 21 hands when asked to reach the target of the horizontal table; (3) 201121525 The affected side 21 is operated by one hand. After reaching the target of the horizontal table, it is raised to a level higher than the shoulder plane. (4) Both the affected side 21 and the healthy side 22 are operated at the same time. After reaching the target of the horizontal table, the height is raised. On the shoulder plane. In the course of the experiment, if the subject's item and the second item are difficult, the test items of items 3 and 4 will not be tested. The data acquisition interface 14 extracts the analog signal of each sensor in the project for each experimental test, and transmits it to the analog to digital converter 15 to convert the analog signal to the digital signal, and then the computer platform The machine interface and the numerical analysis program 161 display useful quantization parameters on the virtual instrument, such as: the distance of the displacement, the maximum acceleration value, the maximum speed value, the hand angle, the total movement time, etc. Using the human machine interface and The numerical analysis program 161 records the process, and records three times for each test, and then analyzes and evaluates the results. The system evaluation method is to analyze the relationship between the kinematic characteristics of the hand-stretching action during the experimental start-to-end point. (8) The kinematic parameters can include parameters such as acceleration == shift. Finally, the function of the upper limb is evaluated by statistical analysis. The kinematic parameter data 181 can be stored in the memory device 18 or can be further transmitted to other analysis systems. For further numerical analysis. In the virtual design interface of the experiment, the parameters with displacement are used to represent the hand extension of the subject. The degree of the three-axis accelerometer signal and the acceleration value of each axis can be expressed on the virtual instrument interface. When the subject is in the process of grabbing the object, the acceleration of the parallel table on the wrist will be The big and small 'the other two axes of acceleration on the wrist _ can see whether the wrist has a flip, and the accelerometer on the shoulder can know whether the subject has moved 201121525. In addition (4) the distance on the side of the electronic scale The angle of the elbow bending can be calculated by adding the length of the arm. Fig. 8 shows a second embodiment of the present invention. In this embodiment, the first end 13a of the electronic ruler 13 is disposed at a selected position of the subject 2 ( For example, the body bone is not in the figure, and the second end 13b is fixed at the wrist position of the affected side of the subject 2. The whole arm of the subject 2 is as straight as possible to pull the electronic ruler 13, according to the display 17 The provided human-machine interface (which can be used for human-machine interactive feedback) can achieve the purpose of rehabilitation evaluation and training. Figure 9 shows a third embodiment of the present invention. In this embodiment, the first end of the electronic ruler 13 13a is fixed at The second end i3b is fixed on the wrist side of the affected side 2 of the subject 2, and the acceleration gauge u is fixed at the wrist position. The left and right movements of the subject and the wrist are performed according to the human-machine interface provided by the display 17. The purpose of the training is achieved. _ From the above embodiments, the present invention can perform rehabilitation evaluation and training on the movement of the upper limbs of the subject 2 to the hand. It is also possible to evaluate the recovery of all the movements of the hands outside the hands and even the hands. Health assessment and training. The position and quantity of the acceleration gauge and the electronic ruler are not limited according to the actual needs. The present invention can not only evaluate the action of the single dimension of the application stretching forward, but also by analyzing the other two dimensions. Auxiliary analysis of the closing parameters of upper limb kinematics. In addition, it can also be used with inertial components such as gyroscopes and magnetometers to locate the position of the space and identify the trajectory of the upper limb movement, making the assessment more accurate. The above description of the present invention is merely illustrative of the preferred embodiments of the present invention, and those skilled in the art can make various modifications and variations of the present invention in accordance with the above-described embodiments of the present invention. However, various modifications and changes made in accordance with the embodiments of the present invention are still within the scope of the inventive concept and the scope of the invention as defined below. BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a schematic view showing the circuit system of the present invention; Fig. 2 is a front view showing the first embodiment of the present invention, the upper limb configuration accelerating gauge and the electronic ruler; A schematic view of the upper limb configuration acceleration gauge and the electronic ruler; Figure 4 shows a top view of the subject's upper limb configuration acceleration gauge and the electronic ruler; Figure 5 shows the subject's hand displaced to the side of the hand Schematic diagram of the movement; Figure 6 shows a schematic diagram of the movement of the hand of the subject's hand reaching forward; Figure 7 shows the movement of the forearm of the subject - an angular movement of the hand; Figure 8 shows a second embodiment of the present invention Fig. 9 shows a third embodiment of the present invention. [Main component symbol description] Upper limb motor function evaluation and training system for patients with stroke hemiplegia 11 First accelerometer 12 Second accelerometer 13 Electronic ruler 13a First end -12 · [S] 201121525
13b Second end 14 Data acquisition interface 15 Analog to digital converter 16 Computer platform 161 Human interface and numerical analysis program 17 Display 18 Memory device 181 Kinematic parameters 2 Subject 21 Patient side 22 Health side 3 Test table 4 Target Object PI starting point P2 End point I Moving direction II Direction of rotation [s] -13 -