Leap Motion-based finger symmetric rehabilitation error correction method

An error correction and finger technology, which is applied in the field of rehabilitation medical equipment, can solve the problems of increasing the time cost of the patient's rehabilitation, ineffective training of the finger on the diseased side, and long training time, so as to reduce the time cost of rehabilitation treatment, improve the effect of rehabilitation, increase the positive effect

Active Publication Date: 2018-11-06
NANCHANG UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, it cannot effectively train the finger on the diseased side according to the real-time movement of the normal hand of the patient, nor can it change according to the change of the rehabilitation object. Rehabilitation treatment with standard actions, and the BP neural network has the characteristics of random initialization of weight parameters and easy to fall into local optimum and long training time, which increases the time cost of patient rehabilitation

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  • Leap Motion-based finger symmetric rehabilitation error correction method
  • Leap Motion-based finger symmetric rehabilitation error correction method
  • Leap Motion-based finger symmetric rehabilitation error correction method

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Experimental program
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Embodiment 1

[0040] Embodiment 1: In this embodiment, the error of the movement completed by the finger on the normal side and the finger on the lesion side is used for evaluation.

[0041] The bimanual symmetry rehabilitation error correction system of the present embodiment comprises the following steps:

[0042] Step (1) predicts the behavior of the patient's normal hand e, including the coordinates F of the fingertips 0 and the angle θ of finger bending 1 , where, θ 1 is calculated from the difference between the angles between the two joints of the fingers;

[0043] Step (2) transfer the data obtained in step (1) to diseased hand a;

[0044] Step (3) Leap Motion transmits the bending angle of both hands and the coordinates of the fingertips to the host computer and displays them in real time, including the predicted value of normal hand behavior and the coordinates of the fingertips F 0 (x 0 ,y 0 ,z 0 ), the angle θ of finger bending 1 , the fingertip coordinates N of the finger...

Embodiment 2

[0053] Embodiment 2: In the process of implementing Embodiment 1, the patient's hands will produce large errors when completing the action. Therefore, this embodiment uses the deep belief neural network DBN for system training, so that the error is within the effective range ;

[0054] See attached Figure 5 , the steps of this embodiment to the error correction training of the system are:

[0055] Step (1) First, input the data collected by Leap Motion and the calculated error as raw data into the bottom RBM visual layer v, and train the RBM of the first layer to achieve energy balance;

[0056] The joint configuration energy of the visible layer and the hidden layer in step (2) is:

[0057] E(v,h)=∑ i a i v i -∑ j b j h j -∑ i ∑ j w μ v i h j

[0058] Among them, v i and h j are the node states of the visible layer and the hidden layer respectively, a i and b j are the offsets corresponding to the visible layer and hidden layer nodes respectively, w μ is t...

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Abstract

The invention provides a Leap Motion-based finger rehabilitation error correction method. The method comprises the steps that 1, the normal hand of a patient is subjected to behavior prediction, LeapMotion performs data collection on two-hand movements, and data is displayed in real time through an upper computer; 2, the computer compares the data of the two-hand movements; 3, if errors are within an effective range, a quantized value of complete action of hands of a patient is output, if the errors are not within the effective range, prompt messages are output, and data is corrected throughan algorithm; 4, the corrected data is transmitted to lesion side fingers, the steps from first to third continue to be executed, and finally the errors are within the effective range. Accordingly, data of rehabilitation training for the patient is displayed in real time, the time delay problem of symmetrical movements of the two hands of the patient is effectively solved, the errors of the movements are reduced, the effect of symmetric rehabilitation of the two hands of the patient is improved, the time cost of the patient is lowered, and the activity of the patient for treatment is enhanced.

Description

technical field [0001] The invention relates to the field of rehabilitation medical equipment, in particular to a Leap Motion-based error correction method for finger symmetry rehabilitation, which is suitable for finger symmetry rehabilitation training for patients with finger hemiplegia caused by various reasons such as stroke, car accident or aging. Background technique [0002] Stroke is the narrowing, occlusion or rupture of intracerebral arteries caused by various predisposing factors, resulting in acute cerebral blood circulation disorder, which can cause local neurological deficit or disappearance in the brainstem, and then lead to hemiplegia in the patient's body, especially hand function. The finger on the lesion side cannot bend and stretch independently and loses motor functions such as gripping, which has many adverse effects on the life of the patient, reduces the quality of life of the patient, and adds a lot of burden to the family and society. As the society...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61H1/02G06N3/08G06N3/04
CPCG06N3/084A61H1/0285A61H1/0288A61H2201/5023A61H2205/067A61H2205/065G06N3/045
Inventor 熊鹏文李如意熊宏锦何孔飞尹春辉熊根良陈海初张华李建清宋爱国
Owner NANCHANG UNIV
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