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Adaptive neural fuzzy muscle modeling method under functional electrical stimulation

A functional electrical stimulation and neurofuzzy technology, applied in neural learning methods, biological neural network models, electrical digital data processing, etc., can solve the problem of inaccurate measurement of knee joint torque values, knee joint torque values ​​and true value errors, and Problems such as large difference in error rate, etc., to achieve real-time adjustment, small error and error rate, and accurate measurement

Active Publication Date: 2012-06-27
TIANJIN UNIV
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Problems solved by technology

[0005] In the existing technology, the structure and parameters of the adaptive neuro-fuzzy reasoning system cannot be adjusted in real time, so that the error and error rate between the actual output knee joint torque value and the real value are relatively large, and the knee joint torque cannot be accurately measured value

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  • Adaptive neural fuzzy muscle modeling method under functional electrical stimulation
  • Adaptive neural fuzzy muscle modeling method under functional electrical stimulation
  • Adaptive neural fuzzy muscle modeling method under functional electrical stimulation

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Embodiment Construction

[0036] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0037] In order to adjust the structure and parameters of the adaptive neuro-fuzzy inference system in real time, so that the error and error rate difference between the actual output knee joint torque value and the real value are small, and the accurate measurement of the knee joint torque value, see figure 1 and figure 2 , the embodiment of the present invention provides an adaptive neuro-fuzzy muscle modeling method under functional electrical stimulation, see the following description for details:

[0038] 101: Collect the knee joint angle parameter θ and the acceleration parameter α during calf movement, and obtain the expression of the knee joint moment through inverse dynamics derivation;

[0039] Among them, in the embodiment...

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Abstract

The invention discloses an adaptive neural fuzzy muscle modeling method under functional electrical stimulation, comprising the following steps: collecting knee-joint angle parameters and acceleration parameters when leg moves to obtain expression of the knee-joint moment by inverse dynamics derivation; inputting the real knee-joint moment to the adaptive neural fuzzy derivation system to obtain the practical output knee-joint moment; inputting error, error change rate and stimulated current to the adaptive neural fuzzy derivation system to be corresponding fuzzy quantity; obtaining control rule by the corresponding fuzzy quantity and synthesizing corresponding stimulated current; training neural network by the error and error change rate to obtain membership function parameter and membership function structure; and regulating the adaptive neural fuzzy derivation system till that the error is less than threshold, and finishing the flow. The method provided by the invention enables the error and error rate between the actual output knee-joint moment and real value and to be small, so that the knee-joint moment is measured accurately.

Description

technical field [0001] The invention relates to the technical field of rehabilitation medical equipment for disabled persons, in particular to an adaptive neuro-fuzzy muscle modeling method under functional electrical stimulation. Background technique [0002] Functional Electrical Stimulation (FES) is a technology that stimulates limb motor muscles and peripheral nerves through current pulse sequences to effectively restore or reconstruct part of the motor function of paraplegic patients. According to the treatment statistics for paralyzed patients with spinal cord injury, due to the weak regeneration ability of the spinal cord, there is no effective treatment method that can directly repair the injury, and functional rehabilitation training is an effective measure. The number of paralyzed patients with spinal cord injury is increasing year by year, and functional rehabilitation training is an urgently needed technology. In the 1960s, Liberson successfully used electrical ...

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Application Information

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IPC IPC(8): G06F19/00G06N3/08
Inventor 明东朱韦西邱爽杨轶星张力新綦宏志万柏坤
Owner TIANJIN UNIV
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