Study On Spatial Constraint Based Measurement System Design And Rehabilitation Training Optimization For Injured Finger

As the most contact with the outside world in daily life and work,fingers are susceptible to trauma,which will affect the normal movement of them.In addition,nervous system diseases and apoplexy can also cause the loss of finger motor function.After surgery or treatment,it is necessary to evaluate the rehabilitation degree of the injured finger.Traditional methods are mostly based on manual measurement of the finger motion range,and then judge the injury according to the numerical value.After that,the rehabilitation training plan of a single finger is made in the flexion and extension plane.However,most of these methods only focus on the range of independent movement of a single finger,which lacks consideration of the constraint relationship between adjacent fingers.Meanwhile,they have not established a visual model for finger motion range.On the other hand,most of the evaluation parameters obtained are values of a single plane,which cannot describe the movement defects of the fingers in the three-dimensional space.Therefore,the rehabilitation training programs formulated are often not the best.Moreover,the whole process is manual measurement,and the level of automation is still low.In response to these deficiencies,this thesis has carried out the following researches:Firstly,for the lack problem of inter-finger restraint in traditional finger movement evaluation,the index finger free movement and the two-finger coordinated movement process are marked and tracked,based on the anatomical structure and movement characteristics.Then,through the fingertip coordinates,the motion range of the index finger during independent motion and coordinated motion is given,and a visual constraint relationship model is established.Finally,MATLAB is used to draw a diagram of the restraint relationship between the index finger and middle finger in the process of movement.By comparison,we found that when the two fingers move in the same direction,the neighboring fingers have a promoting effect.When the index finger and the middle finger move in the opposite direction,the neighboring fingers have a restrictive relationship.Secondly,an automatic capture system based on computer vision is designed to capture the range of finger motion automatically.First of all,the standard range of movement of normal people’s fingers is established,and the motion range of the index finger is modeled by flexion,extension,internal collection and extension.Then the measured motion range of the injured finger is automatically compared with the standard range of motion to obtain the range motion percentage of the injured finger.And we use MATLAB to draw a comparison chart of the injured finger motion range.Finally,the rehabilitation degree of the injured finger is evaluated by the percentage of the injured finger’s movement.Experimental results show that our method can automatically evaluate the rehabilitation degree of injured fingers effectively.Thirdly,based on the inter-finger constraint and automatic capture system,the independent motion range of index finger in three-dimensional space is studied.The three-dimensional data of fingertip movement by the automatic capture system acquired,and to visualize the range of movement of the index finger via MATLAB.Then,the maximum defect direction of the injured finger is calculated through the motion range of the injured finger and the normal index finger,and the results of rehabilitation training of the injured finger along the maximum defect direction are simulated with MATLAB.Experimental results show that rehabilitation training of injured fingers along the maximum training direction can effectively restore the injured finger motion range,but in some secondary defect directions,the recovery effect is not ideal.Fourthly,in response to the recovery problem of injured finger motion function in the secondary defect direction,first,use the motion comparison three-dimensional map obtained by the capture system to calculate the injured finger’s two secondary defect directions.Then according to the parallelogram principle of resultant of forces,the best training direction of the injured finger is given,and rehabilitation training is carried out on the injured finger by stages.We use MATLAB to simulate the rehabilitation training results of injured fingers along the best training direction,and visually analyze the experimental results.Experimental results show that,compared with the training method in the greatest defect direction,the best training direction is more conducive to the recovery of the injured finger’s overall range of motion.In the next step,we will develop an electronic automatic injury assessment equipment for injury fingers based on the above-mentioned principles and design schemes.In the three-dimensional space,it can realize automatic and accurate assessment of injury and rehabilitation degree of injured fingers and provide a basis for doctors to formulate the best rehabilitation training program.