A Method for Parameter Identification of Rehabilitation Movement Speed ​​Calculation Model Based on Particle Swarm Optimization Algorithm

A particle swarm optimization and parameter identification technology, applied in the field of sports medicine, can solve problems such as difficulty in calculating walking speed

Active Publication Date: 2021-08-31
BEIHANG UNIV
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Problems solved by technology

[0004] Aiming at the problem that it is difficult to calculate the walking speed of the current portable motion measurement equipment worn on the wrist when there is a walking assistance device, the present invention proposes a calculation model and a parameter identification method

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  • A Method for Parameter Identification of Rehabilitation Movement Speed ​​Calculation Model Based on Particle Swarm Optimization Algorithm
  • A Method for Parameter Identification of Rehabilitation Movement Speed ​​Calculation Model Based on Particle Swarm Optimization Algorithm
  • A Method for Parameter Identification of Rehabilitation Movement Speed ​​Calculation Model Based on Particle Swarm Optimization Algorithm

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Embodiment Construction

[0016] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0017] The present invention is based on the particle swarm optimization algorithm to identify the parameters of the rehabilitation movement speed calculation model, such as figure 1 As shown, it is realized through the following steps:

[0018] Step 1: Establish a motion relationship model with unknown parameters.

[0019] Such as figure 2 As shown, the rehabilitation personnel using the walking assistance device wear the data acquisition device (such as Apple Watch) on the wrist, and the data acquisition device collects the acceleration signals in the three directions of x, y, and z with a certain sampling period (a x , a y , a z ) and the angular velocity signal (g x , g y , g z ). The motion relationship model is the mathematical relationship between the motion data of the wrist and the walking speed. According to the correlation analysis, the w...

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Abstract

The invention discloses a particle swarm optimization algorithm-based method for identifying model parameters of rehabilitation movement speed calculation models, and relates to a model parameter identification strategy for detecting rehabilitation movement speed by using portable movement parameter measurement equipment. Firstly, the walking speed model with unknown parameters is established; secondly, the objective function of optimization algorithm is established; finally, the objective function is optimized by particle swarm optimization algorithm, and the optimal model parameters are obtained. The present invention introduces a wrist-worn motion measuring device to measure rehabilitation motion parameters, which brings convenience to trainers compared with foot-wearing. The invention establishes a model parameter identification method for rehabilitation movement speed based on particle swarm optimization algorithm to establish a relationship model between wrist movement and walking speed, and provides a training speed calculation method for wrist-worn movement measurement equipment. At the same time, the particle swarm optimization algorithm is used for model parameter identification, which provides an accurate and fast model parameter solution method for the relationship model between wrist motion and walking speed.

Description

technical field [0001] The invention relates to a motion model parameter method, in particular to a model parameter identification strategy for detecting rehabilitation motion speed by using a portable motion parameter measuring device, and belongs to the field of sports medicine. Background technique [0002] Motion tracking can be used in the field of rehabilitation. For people with disabled legs or elderly people who have difficulty walking, walking aids are a must for rehabilitation training. Usually rehabilitation training needs to be completed in a specialized rehabilitation center under the supervision of a physician. However, due to cost and manpower constraints, the number and availability of rehabilitation centers often cannot meet the needs of all people who need rehabilitation training. The portable exercise collection device can collect the exercise data of the rehabilitation population at home in real time and send the data to the physician. [0003] The mot...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/00A61B5/11A61B5/00
CPCA61B5/1118A61B5/6802A61B5/6824G06N3/006
Inventor 张辉石谦
Owner BEIHANG UNIV
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