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Exercise prescription recommendation method for hypertensive old people based on deep learning

A technology of exercise and deep learning for the elderly, which is applied in the field of exercise prescription recommendation for the elderly with high blood pressure based on deep learning, and can solve problems such as the inability to generate precise and personalized exercise prescriptions

Active Publication Date: 2019-10-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

Based on matching the existing exercise prescription model, accurate and personalized exercise prescription cannot be generated

Method used

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  • Exercise prescription recommendation method for hypertensive old people based on deep learning
  • Exercise prescription recommendation method for hypertensive old people based on deep learning
  • Exercise prescription recommendation method for hypertensive old people based on deep learning

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Experimental program
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Embodiment Construction

[0042] The implementation of the present invention will be described in detail below with examples, so as to fully understand and implement the implementation process of how the present invention uses technical means to solve technical problems and achieve technical effects.

[0043]Traditional exercise prescription intervention methods mainly rely on the clinical experience of doctors, which not only increases the workload of doctors, but also makes it difficult to provide personalized exercise prescriptions according to differences in individual health indicators, and the implementation and management of prescriptions is also a difficulty. In recent years, with the innovation of information technology, the establishment of exercise programs and the evaluation of exercise intervention effects have gradually shifted from manual provision of prescriptions to automatic generation of prescriptions with the help of health big data. Intelligent exercise prescription intervention is e...

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Abstract

The invention discloses an exercise prescription recommendation method for the for hypertensive old people based on deep learning. The method comprises the steps: collecting health data; testing the cardiac function state of the hypertensive old people in a quiet state, and evaluating the heart rate, the blood pressure and the heart rate variability; identifying daily actions of the hypertensive old people; evaluating the cardiopulmonary function of the hypertensive old people by combining heart rate variability, energy consumption and heart rate according to the exercise-blood pressure risk grade and exercise risk contribution degree, and making personalized exercise prescriptions for the old people by referring to FITT rules according to BMI, age, clinical diagnosis and exercise preference. According to the deep learning scheme provided by the invention, the characteristic representation of exercise parameters such as exercise modes and intensity and time series data such as heart rate, electrocardiogram and real-time blood pressure is better extracted, the relation between exercise and hypertension fluctuation rules is fully learned and mined in combination with population informatics, and a personalized exercise prescription is generated.

Description

technical field [0001] The invention relates to a method for recommending exercise prescriptions for hypertensive elderly people, in particular to a method for recommending exercise prescriptions for hypertensive elderly people based on deep learning. Background technique [0002] Essential hypertension is a syndrome in which elevated blood pressure is the main clinical manifestation, with or without multiple cardiovascular risk factors, commonly referred to as hypertension. Hypertension is an important cause and risk factor of various cardiovascular and cerebrovascular diseases. It affects the structure and function of important organs, such as the heart, brain, and kidneys, and eventually leads to the failure of these organs. It is still the main cause of death from cardiovascular diseases. one of the reasons. The World Health Organization clearly pointed out in the report "Prevention of Chronic Diseases is a Vital Investment" that unhealthy diet, lack of exercise, and im...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/30G16H50/20
CPCG16H20/30G16H50/20
Inventor 李巧勤王志华陶文元姜珊刘勇国杨尚明
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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