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Method and system for matching exercise effect cases

A technology of sports effects and cases, which is applied in the field of sports rehabilitation and chronic disease management, and can solve problems such as increased user viscosity and low patient enthusiasm for sports

Active Publication Date: 2020-07-03
北京动亮健康科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current exercise intervention technology has the following problems: 1) During the out-of-hospital monitoring process, the patient’s exercise enthusiasm is not high, and the user’s viscosity needs to be strengthened; 2) The existing exercise effect cases cannot be classified and analyzed to realize the exercise of similar patients. Effect prediction

Method used

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  • Method and system for matching exercise effect cases
  • Method and system for matching exercise effect cases
  • Method and system for matching exercise effect cases

Examples

Experimental program
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Embodiment 1

[0077] This embodiment shows a method for matching motion effect cases, such as figure 1 shown, including the following steps:

[0078] Step 1): Input the user's basic information, disease conditions and physiological indicators.

[0079] Disease conditions include hypertension, diabetes and body weight, and physiological indicators include blood pressure, blood sugar, heart rate and cardiorespiratory endurance. The prevalence of hypertension is divided into grade 1 hypertension, grade 2 hypertension, grade 3 hypertension, prehypertension and no hypertension; the prevalence of diabetes is divided into prediabetes, diabetes and no diabetes; underweight, normal weight, overweight and obese.

[0080] Step 2): According to the disease condition, use the K-nearest neighbor algorithm to find the case feature subgroup closest to the user's disease condition in the motion effect feature library group, such as figure 2 shown, including the following steps:

[0081] Step 101: Perfo...

Embodiment 2

[0120] This embodiment shows a system for matching exercise effect cases, including: an input module, a parameter extraction module, a storage module and a feature matching module, and the feature matching module includes a disease type screening unit and a physiological index screening unit;

[0121] The input module is connected with the parameter extraction module, the parameter extraction module is connected with the input module, the disease type screening unit and the physiological index screening unit, the disease type screening unit is connected with the parameter extraction module, the storage module and the physiological index screening unit, and the physiological index screening unit is connected with the parameter The extraction module and the disease type screening unit are connected.

[0122] The input module collects the user's disease condition and physiological index data, and transmits the data to the parameter extraction module.

[0123] After receiving the ...

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Abstract

The invention provides a method for matching exercise effect cases. The method comprises the following steps: step 1) inputting disease conditions and physiological indexes of a user; 2) finding out acase feature subgroup closest to the disease conditions of the user from an exercise effect feature library group by using a K-nearest neighbor algorithm; 3) finding out a case closest to the physiological indexes of the user from the closest case feature subgroup by using the K-nearest neighbor algorithm; 4) outputting an exercise effect case of the case closest to the physiological indexes of the user, wherein the disease conditions comprise a hypertension condition, a diabetes condition and a weight condition, and the physiological indexes comprise a blood pressure condition, a blood sugarcondition, a heart rate condition and a cardiopulmonary endurance condition. By adopting the method disclosed by the invention, the exercise effect case can be accurately pushed, and a patient can intuitively and clearly know the effect after exercise intervention.

Description

technical field [0001] The invention relates to the fields of chronic disease management and exercise rehabilitation, in particular to a method for matching exercise effect cases. Background technique [0002] As a treatment comparable to drug therapy, exercise intervention can effectively improve cardiovascular and respiratory functions, reduce resting systolic / diastolic blood pressure, improve glucose tolerance, reduce total body fat, and reduce abdominal fat. At present, exercise intervention technology mainly adopts closed-loop management, and can effectively improve the physical condition of patients through the method of "generating exercise prescriptions in the hospital-monitoring exercise conditions outside the hospital". However, the current exercise intervention technology has the following problems: 1) During the out-of-hospital monitoring process, the patient’s exercise enthusiasm is not high, and the user’s viscosity needs to be strengthened; 2) The existing exe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/30G16H50/20G16H50/70
CPCG16H20/30G16H50/20G16H50/70
Inventor 张永亮叶骏陈娟高向阳张世潮
Owner 北京动亮健康科技有限公司