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Exercise prescription parameter management method based on NSGA-II algorithm

A technology for sports prescription and parameter management, applied in special data processing applications, genetic models, genetic rules, etc., can solve the problem of lack of personalization and adaptive adjustment in the formulation and management of sports prescription parameters

Pending Publication Date: 2020-10-30
XIAN UNIV OF TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for managing exercise prescription parameters based on NSGA-II algorithm, which solves the problem of lack of personalization and adaptive adjustment in the formulation and management of exercise prescription parameters existing in the prior art

Method used

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  • Exercise prescription parameter management method based on NSGA-II algorithm
  • Exercise prescription parameter management method based on NSGA-II algorithm
  • Exercise prescription parameter management method based on NSGA-II algorithm

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Embodiment 1

[0117] The exercise prescription item executed by the exercise object in this embodiment is table tennis, the exercise type is aerobic type, the exercise item, and the required heart rate of the exercise item Qiangu is in the range of 140-170bmp, the minimum exercise amount is 5600bmp*min, and the exercise frequency F is 4 times / week. When the user executes the exercise prescription, adjust the exercise prescription parameters as follows:

[0118] step 1,

[0119] Set the sport item Sport as table tennis, the sport type Sport_type as strength, the minimum exercise item Q_min=140bmp, the maximum intensity Q_max=170bmp, the minimum exercise amount W_min=5600bmp*min, the exercise prescription duration T=40min, and the exercise frequency F=4 times / week, and other parameter values ​​are set to null.

[0120] Step 2,

[0121] Create an exercise prescription data model, and obtain the exercise prescription data model parameters from step 1. Sport is table tennis, Sport_type is st...

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Abstract

The invention discloses an exercise prescription parameter management method based on an NSGA-II algorithm. The method comprises the following specific steps: step 1, confirming an exercise event andinitializing prescription parameters; step 2, establishing an exercise prescription data model and managing exercise prescription parameters; step 3, receiving the exercise data and recording a second-level timestamp at each exercise intensity; 4, after the user finishes executing the exercise prescription once, acquiring exercise amount and exercise duration according to the received exercise data; 5, calculating exercise prescription parameter limiting conditions; step 6, calculating exercise prescription parameters by utilizing an NSGA-II algorithm under an exercise parameter limiting condition; step 7, modifying and generating a new exercise prescription; and step 8, when the exercise prescription is executed each time, collecting new exercise data by using the method adopted in the step 3, returning to the step 4 to the step 7, and generating a new exercise prescription. According to the invention, the problem of lack of adaptive adjustment of exercise prescription management in the prior art is solved.

Description

technical field [0001] The invention belongs to the technical field of computer management exercise prescription, and relates to an exercise prescription parameter management method based on NSGA-II algorithm. Background technique [0002] The concept of exercise intervention in health is widely recognized by people. In today's society, more and more people hope to rely on exercise to improve their physical fitness, or achieve the goals of losing weight, shaping, and gaining muscle. Different exercise programs, exercise intensity, exercise frequency, and exercise duration are required to achieve different exercise purposes. With the continuous improvement of the physical fitness of exercisers, in order to ensure the effectiveness of exercise prescriptions, exercise intensity, exercise frequency, exercise duration and other parameters should be adjusted accordingly. adjustment. [0003] At present, the management of exercise prescription parameters mostly adopts big data ana...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F30/27G06N3/12
CPCG06F30/20G06F30/27G06N3/126
Inventor 王磊练兴杨
Owner XIAN UNIV OF TECH
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