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A knee joint moment estimation method based on surface myoelectricity and motion signals

A motion signal and knee joint technology, applied in informatics, medical informatics, medical automated diagnosis, etc., can solve problems such as increasing model input features, complex model structure, and affecting signal acquisition quality

Inactive Publication Date: 2019-04-02
FUZHOU UNIV
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Problems solved by technology

Since the hip and ankle joints are also affected when the knee joint moves, the sEMG of the muscles related to the hip joint and ankle joint is also selected to estimate the knee joint moment, which will increase the input feature quantity of the model and complicate the model structure.
In addition, during the process of EMG signal acquisition, it may also interfere with the subject's movement, affecting the quality of signal acquisition.

Method used

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  • A knee joint moment estimation method based on surface myoelectricity and motion signals
  • A knee joint moment estimation method based on surface myoelectricity and motion signals
  • A knee joint moment estimation method based on surface myoelectricity and motion signals

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0031] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0032] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to a knee joint moment estimation method based on surface myoelectricity and motion signals. The method comprises the following steps: firstly, establishing an offline knee jointmoment estimation model: establishing the knee joint moment estimation model by using sEMG of a pair of active muscles and antagonistic muscles under knee joint flexion motion, knee joint angles andknee joint angular velocities and by utilizing an LSTM network and optimizing the established model; and then carrying out online estimation on the knee joint torque signal. According to the invention, the characteristic quantity of the input model can be reduced, and the network complexity is reduced.

Description

technical field [0001] The invention relates to the field of knee joint torque estimation, in particular to a knee joint torque estimation method based on surface electromyography and motion signals. Background technique [0002] At present, there are two main methods for estimating the moment of the knee joint, one is direct measurement using an isokinetic dynamometer, and the other is indirect measurement by establishing a knee joint moment estimation model. The isokinetic dynamometer can only measure the knee joint moment value under isokinetic contraction and isotonic contraction. Isokinetic contraction is a situation in which the applied resistance is adjusted according to the magnitude of muscle strength at a constant angular velocity, so that the instantaneously applied resistance is equal to the muscle strength; isotonic contraction is when the external resistance is constant, and the muscle tension is generated enough to resist the external resistance. The situatio...

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Application Information

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IPC IPC(8): G16H50/20G06N3/04
CPCG06N3/049G16H50/20
Inventor 李玉榕张千慧杜民
Owner FUZHOU UNIV
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