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Rehabilitation exercise speed calculation model parameter identification method based on particle swarm optimization algorithm

A particle swarm optimization, motion speed technology

Active Publication Date: 2020-08-14
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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  • Rehabilitation exercise speed calculation model parameter identification method based on particle swarm optimization algorithm
  • Rehabilitation exercise speed calculation model parameter identification method based on particle swarm optimization algorithm
  • Rehabilitation exercise speed calculation model parameter identification method 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] like 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 walk...

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Abstract

The invention discloses a rehabilitation exercise speed calculation model parameter identification method based on a particle swarm optimization algorithm, and relates to a model parameter identification strategy for detecting rehabilitation exercise speed by using portable exercise parameter measurement equipment. Firstly, a walking speed model containing unknown parameters is established; secondly, an optimization algorithm objective function is established; and finally, the target function is optimized by using a particle swarm optimization algorithm to obtain optimal model parameters. Thewrist wearing type exercise measuring equipment is introduced to measure rehabilitation exercise parameters, and compared with foot wearing, convenience is brought to trainees. According to the rehabilitation exercise speed calculation model parameter identification method based on the particle swarm optimization algorithm, a wrist exercise and walking speed relation model is established, and a training speed calculation method is provided for wrist-worn exercise measurement equipment. And meanwhile, model parameter identification is carried out by utilizing a particle swarm optimization algorithm, so that an accurate and rapid model parameter solving method is provided for a wrist movement and walking speed relation model.

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 Applications(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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