Human upper limb muscle strength prediction device and method based on radial basis function neural network

Abstract

The invention discloses a human muscle strength prediction device and method based on a radial basis function neural network. The human upper limb muscle strength prediction device refers to an electromyographic signal and joint angle detection processing device, and comprises a surface electromyographic signal sensor, a magnetic sensitive angle sensor and a signal preprocessing unit. The prediction method comprises muscle force training and a prediction process and comprises the following steps: based on a surface electromyographic signal characteristic value of the radial basis function neural network, training of joint angle and muscle force and a muscle force prediction process, collecting required motion trail data through a vicon motion capture system; calculating muscle force to bepredicted by adopting the acquired motion trail data based on an upper limb muscle-bone model of an open source software Opensim; and acquiring electromyographic signals and joint angle data of the upper limb muscles in the movement process based on the electromyographic signal and joint angle detection device while collecting the motion data, and then conducting muscle force training and prediction based on the human upper limb muscle force prediction method based on the radial basis function neural network.

Description

technical field [0001] The invention relates to the field of biomechanics, and more specifically, to a device and method for predicting human upper limb muscle force based on a radial basis neural network. Background technique [0002] Muscle is the power source of human's daily production and life. The measurement of muscle force is of great significance in many research fields. For example, the design and manufacture of humanoid robots must realize humanoid motion through the simulation of muscle system. In the field of human rehabilitation medicine, the measurement of the patient's muscle strength can be used to understand the status of muscle damage. In rehabilitation medicine, the design of rehabilitation equipment requires the measurement of muscle strength to achieve a better rehabilitation effect. In competitive sports, in order to improve the performance of athletes, it is often necessary to make detailed measurement and analysis of the changes in muscle strength of...

AI Technical Summary

Problems solved by technology

[0004] At present, the measurement methods of muscle force are mainly based on detection and measurement, but there are few muscle force calculation and prediction systems based on skeletal muscle models

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