Human upper limb muscle strength prediction device and method based on radial basis function neural network
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 electromyogr...
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Main Authors | , , , |
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Format | Patent |
Language | Chinese English |
Published |
23.10.2020
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Subjects | |
Online Access | Get full text |
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Summary: | 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 m |
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Bibliography: | Application Number: CN202010702763 |