Method and device for evaluating and training fine motion function of fingers

Abstract

The invention discloses a method and device for evaluating and training the fine motion function of fingers. The device comprises a support, a position and posture sensor, multi-axis force sensors, a controller and finger pinching pieces. The multi-axis force sensors are symmetrically arranged on the two sides of the support respectively and connected with the finger pinching pieces. The position and posture sensor is arranged at the top end of the support. The multi-axis force sensors are used for collecting three-dimension space force signals of the fingers, the position and posture sensor is used for collecting space position data of the device, the controller generates visual posture feedback according to the information collected by the multi-axis force sensors and the position and posture sensor, and real-time display is carried out. According to the method and device, the force control capacity and posture and position control capacity of all the participating fingers can be effectively tested, testing precision is high, high sensitivity is achieved, and the repeated testing ICC is larger than 90%. The precise finger force and posture and position control capacity of a subject can be reflected objectively and accurately, and testing does not depend on subjective experience and judgment of a tester any more.

Description

technical field [0001] The invention relates to a method and device for evaluating and training fine motor functions of fingers. Background technique [0002] The fine motor function of fingers is an important basis for human beings to complete various complex operations with hands. At present, questionnaires or quantitative scoring based on behavioral performance are mostly used in the test and evaluation of opponent's fine motor function. Take the most commonly used Purdue nail board test as an example. This test requires the subjects to grab small screws and nuts within a specified time and insert them into small holes. Evaluate. The main disadvantages of these evaluation methods are poor test accuracy, low sensitivity, poor reliability, and too much reliance on the patient's on-the-spot operation and the subjective evaluation of the tester. [0003] And for the training and improvement of the fine motor function of hand, still lack corresponding training equipment. T...

AI Technical Summary

Problems solved by technology

The main disadvantages of these evaluation methods are poor test accuracy, low sensitivity, poor reliability, and over-reliance on the patient's on-the-spot operation and the subjective evaluation of the tester.

[0003] For the training and improvement of the fine motor function of the hand, there is still a lack of corresponding training equipment.

The currently widely used strength traction training machines are only suitable for high-amplitude strength training under the contraction of large muscle groups, and the training effect of the opponent's precise motor function is not good.

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