A human health monitoring method and system based on proportion philosophy and individual adaptation

Abstract

The application discloses a human health monitoring method and system based on proportion philosophy and individual self-adaption. A multi-level nested proportion model is constructed by non-invasively collecting multi-dimensional signals of a human body. A golden section 0.618 is taken as a harmonious anchor point to calculate an individual exclusive health benchmark zero point and a stable interval. Through real-time proportion comparison and fine ladder deviation analysis, the structure harmony and function state are judged. The health trend early warning is realized by combining multiple retests. The application breaks away from the limitation of unified medical indicators, realizes personalized, global and original health evaluation, can early identify imbalance and sub-health state, and is suitable for scenes such as daily monitoring, physical evaluation and health intervention effect judgment.

Description

Technical Field

[0001] This invention relates to the field of health assessment technology, specifically to a method based on the philosophy of proportion and using the golden ratio as a harmonizing principle. A non-invasive health monitoring method and system that combines benchmarks with human adaptive ranges is fundamental and personalized. Chemical health testing technology. Background Technology

[0002] Current health monitoring and medical assessments mostly use a standardized indicator system, such as blood pressure, blood glucose, blood lipids, and BMI. Judging health status using fixed numerical ranges is difficult to adapt to individual differences in physical condition, and can easily lead to situations where "indicators are normal but physical condition is not." This could lead to misdiagnosis as "body imbalance, abnormal indicators, but no obvious discomfort." Meanwhile, traditional testing methods focus on a single number... Anomaly identification cannot perform a comprehensive assessment from dimensions such as overall structure, energy distribution, and system coordination. There is a lack of forward-looking judgment on the imbalance in the proportion of sub-health and early functional disorders.

[0003] Currently, there is no method based on the proportional laws of all things, with harmonious proportions as its core, combined with individual benchmarks and considering the preceding and following stages. Retesting and dynamic assessment of health monitoring programs make it difficult to achieve truly personalized and fundamental health management. determination. Summary of the Invention

[0004] Purpose of the invention This invention overcomes the limitations of existing technologies, such as uniform standards, reliance on medical indicators, lack of personalized benchmarks, and difficulty in applying them. Addressing the shortcomings of unbalanced early warning functions, this paper proposes a human health monitoring method based on proportional philosophy and individual adaptation. The method and system enable comprehensive health assessment that does not rely on fixed numerical standards and focuses on structural harmony. Technical solution

[0005] A method for monitoring human health based on the philosophy of proportion and individual adaptation includes the following steps: 1. Multi-dimensional signal acquisition: Non-invasive methods such as structural sensing, bioimpedance, spectral scanning, and micro-vibration detection. This method acquires signals of the human body's macroscopic contours, tissue distribution, body fluid distribution, and organ rhythms. 2. Multi-level proportional analysis: The signals are converted into proportional data, constructing a multi-level nested proportional model, including: Macroscopic body proportions, organ structure proportions, material distribution proportions, and subtle dynamic proportions. Each system is independent within itself. Analysis, without forcibly comparing across systems.

[0006] 3. Establish individual adaptive benchmarks: using the golden ratio of 0.618 as a common harmony anchor point, combined with individual age, Based on physical and structural characteristics, calculate the individual's unique health baseline zero point and stable range, without using a uniform standard.

[0007] 4. Deviation and Continuity Judgment: Compare real-time proportional data with individual baselines, using 0.0618 as the fineness level. The algorithm calculates the degree of deviation, determines whether the scale is continuous, smooth, and without abrupt changes, and identifies stress points and fracture points.

[0008] 5. Dynamic Retesting and Trend Determination: Through interval retesting, observe whether the individual proportion structure tends towards harmony or disorder. Disorder helps determine whether the body's condition is improving, stabilizing, or deteriorating, and to pinpoint areas of imbalance.

[0009] Furthermore, the health assessment rules are as follows: - The proportion falls within the individual's adaptive stability range, and the structure is continuous → healthy; - Slight deviation of 1-2 fine steps → Sub-health; - Significant deviation or sudden change in local proportions → Functional imbalance; - Proportional fracture or exceeding the critical stress point → High-risk state.

[0010] A human health monitoring system based on the philosophy of proportion and individual adaptation includes: - Multi-dimensional signal acquisition module; - Multi-level scaling analysis module; - Individual adaptive baseline calculation module; - Deviation and continuity analysis module; - Health trend assessment and output module.

[0011] The system does not rely on traditional medical indicator databases and does not require massive sample comparisons; it can independently complete comprehensive health assessments. Beneficial effects

[0012] 1. Abandon standardized medical indicators and use the individual's own harmonious proportions as the basis for judgment to achieve truly personalized health assessment.

[0013] 2. By analyzing the structure, energy, and dynamic rhythms from multiple dimensions, sub-health and functional disorders can be identified at an early stage.

[0014] 3. No invasive testing or control library required; simple deployment and wide applicability.

[0015] 4. By retesting trends, health risks can be proactively predicted, which is superior to traditional post-event anomaly detection.

Claims

1. A method for monitoring human health based on the philosophy of proportion and individual adaptation, characterized in that, Including the following steps: (1) Non-invasive acquisition of multi-dimensional physiological and physical signals of the human body; (2) Construct a multi-level nested ratio model and analyze the ratio data at the macro, structural, material, and micro levels; (3) Using the golden ratio 0.618 as the harmony anchor point, calculate the individual-specific health baseline zero point and adaptive stability. interval; (4) Compare the real-time scale with the individual baseline, and use 0.0618 as a step to judge the deviation, continuity and structure. Self-consistency; (5) Determine the health evolution trend through multiple retests and output the health status and imbalance area.

2. The method according to claim 1, characterized in that, Multi-level proportion models include: macroscopic body proportions Examples include the proportions of primary and secondary structures of the internal organs, the distribution ratios of solid, liquid, and gaseous substances, and the subtle dynamic proportions within each physiological system.

3. The method according to claim 1, characterized in that, The individual baseline zero point is 0.618 combined with the individual structure. The structural coefficient, age coefficient, and physiological state coefficient are adaptively calculated without a unified fixed standard.

4. The method according to claim 1, characterized in that, Health status is determined by the number of deviations from the ladder and the proportion of deviations. The determination is based on a combination of factors, including whether the stress threshold has been exceeded.

5. A human health monitoring system based on the philosophy of proportion and individual adaptation, characterized in that, include: Multi-dimensional signal acquisition module, proportional analysis module, individual benchmark calculation module, deviation analysis module, trend. Evaluation module.

6. The system according to claim 5, characterized in that, The system can operate independently without the need for a traditional medical indicator database. To achieve health assessment and trend judgment.