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Hearth health index detection system and model building method

A health index and detection system technology, applied in the medical field, can solve problems such as ignoring individual differences, different effects of heart age, and inaccurate heart age determination

Active Publication Date: 2016-12-21
曾金生
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, there is no accurate heart age determination method in the world at present, and most of them adopt the traditional epidemiological investigation method, which has the following disadvantages: (1) it only pays attention to the whole, ignoring individual differences: such as the traditional method, Smokers add 4 years to their actual age, and meat eaters add 3 years
This is overall, but there are large individual differences. For example, a 70-year-old man and a 10-year-old child both love to eat meat, but the impact on heart age is definitely different; (2) lack of continuity and real-time, it is difficult to achieve timely prediction
Because the heart age is affected by lifestyle, habits, and behavior, the heart age value changes in different time periods; (3) the accuracy is questionable, and the traditional method includes all the indicators, so there may be multiple overlaps between the indicators. Linearity, especially when there is a high degree of interdependence between various indicators, such as the relationship between high blood pressure and high blood lipids, high blood sugar, heavy taste and body mass index, will lead to inaccurate heart age determination

Method used

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  • Hearth health index detection system and model building method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0086] Qiu Mou, male, born on November 20, 1965, village cadre, 1.7m tall, underwent HAA inspection on December 5, 2014. Examination: weight 78kg, resting heart rate 77 beats / min, epidemiological investigation: bold personality, drinking tea, sedentary, heavy taste, often staying up late, no family history of cardiovascular disease. According to the above basic information, according to the HA data model, the HA value of Qiu is calculated as: 66.19 years old, and the K value is 35.08%, indicating that the heart is severely aging. Asked about the medical history, Qiu often felt chest tightness, palpitations, and dizziness. Suggestions: eat lightly, exercise moderately, sit less, and reduce the frequency of staying up late. At the same time, it is recommended to go to the hospital for further examination. Hospital examination: fasting blood glucose: 11.6mmol / L, blood cholesterol: 7.3mmol / L, triglyceride: 2.28mmol / L, Bp: 156 / 94mmHg, electrocardiogram: dorsal arcuate ST segment e...

Embodiment 2

[0088] Hu Mou, male, born on September 1, 1963, 1.70m tall, 72kg in weight, heart rate 76 beats / min, sedentary, smoker, mild-mannered, light diet, regular tea drinker, nothing special.

[0089] According to the above basic situation, Hu's actual age is 52 years old, the body mass index is 24.9, the risk factor score is: 0.25+0.2=0.45, and the protection factor score is: 0.3+0.1+0.15=0.55, then

[0090]

[0091] That is, Hu's heart age is 62.7 years old, which is 20.6% older than his actual age. Suggestions: quit smoking, exercise moderately, avoid prolonged sitting, and go to the hospital for further examination. Hospital inspection found: Bp: 152 / 90mmHg. Cholesterol: 7.10mmol / L, triglyceride: 2.16mmol / L, electrocardiogram: myocardial ischemia. Therefore, quantitative determination of cardiac age is of great significance for the prediction of cardiovascular disease.

Embodiment 3

[0093] Qiu Mou, male, born on November 20, 1965, a cadre in a public institution, with a height of 1.7m. On December 29, 2015, the heart health quality index evaluation intelligent measurement was performed. Examination: weight 72kg, heart rate 66 beats / min, bold personality, regular tea drinking, light diet, regular lifestyle, 1 hour of daily exercise, sedentary, Bp: 132 / 80mmHg, cholesterol: 6.1mmol / L, triglyceride: 1.98 mmol / L, with a history of coronary heart disease. According to the above basic information, enter the actual age of 50 years old, weight 72kg, height 1.7m, heart rate 66 beats / min, click "Frank personality, often drink tea, light diet, regular life, aerobic exercise for 1 hour, sedentary, high blood fat. , chronic disease 1" item, that is, the output measurement result is: the evaluation value of the heart health quality index is 53.63 years old, and the heart health quality index is normal.

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Abstract

The invention relates to the field of medical science, in particular to a hearth health index detection system and a model building method. According to the system and the method, an animal model of heart age determination is built; heart age influence factor scores are calculated; a heart age determination influence factor score table is formed; and a heart age quantitative determination model is built by applying a mathematic modeling method, so that a heart age value is calculated, substantially, human characteristics are measured.

Description

technical field [0001] The invention relates to the field of medicine, in particular to a heart health index detection system and a model construction method. Background technique [0002] As a measure of human characteristics, heart age has attracted more and more attention. In real life, it is easier for people to accept that a person's appearance is older or younger than his actual age; and the fact that a person's heart age is not exactly the same as his actual age is difficult for ordinary people to understand. The age of the heart differs from the actual age of the person due to the different levels of care people have for the heart and the impact of their general health. To make a common analogy, compare a person to a car, then the human heart is like the engine of a car. The service life of the engine is not only related to its own production quality, but also has a great relationship with the maintenance level of people's daily use. The same is true for the human...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16H50/30G16H50/50
Inventor 曾金生
Owner 曾金生
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