CN100449557C - Body health coordination data analysis method - Google Patents

Abstract

The invention discloses a body health coordination data analysis method, which utilizes statistics and spectrum analysis to generate upper and lower limit numerical value difference and a nonlinear analysis method, can evaluate whether the body is healthy and coordinated or not through the change of numerical values and graphs on a time sequence, and comprises the following steps: the SDNN (Standard development on of all Normal RR intervals) value in a period refers to the standard deviation of the normal RR period in a specific period, and the statistical analysis part evaluates the body health coordination by the absolute value of the personal SDNN, the change condition of the personal SDNN on a time sequence, and the distribution or the statistical condition of the SDNN value of the personal SDNN and the same condition group and the change condition on the time sequence; the pNN50(The probability driven by differentiating NN50 by The total number of RR Intervals with a difference of more than 50 ms) can also be applied to The absolute value and The time sequence of The change, and The pNN50 distribution or The statistical condition of The same condition group and The change condition of The time sequence, so as to evaluate The body health coordination; the waveform of the individual RR value on a specific time sequence can convert a signal on a time domain into a signal on a frequency domain, and the body health coordination condition can be evaluated by utilizing the proportion of Power sensitivity between different frequency bands on a frequency spectrum and the change condition of each time scatter diagram Scattergram measured at different time on the time sequence.

Description

Physical health coordination data analysis method

technical field

The invention relates to a method for analyzing physical health coordination data. Including: a heart rhythm analysis device: using statistics and frequency spectrum analysis to generate the difference between the upper and lower limit values, and the non-linear analysis method, the change of the value and graph in the time series can evaluate whether the body is healthy and coordinated. The method includes: a period of SDNN ( The Standard Deviation of All Normal RR Intervals) value refers to the standard deviation of the normal RR period in a specific period; the coordination analysis method includes: in the statistical analysis part, the absolute value of the individual SDNN, the change of the individual SDNN in the time series , and the SDNN value distribution or statistical status of the individual SDNN and the population of the same condition and the change in time series to evaluate the coordination of physical health;

pNN50 (The proportion derived by diving NN50 by the total number of RRIntervals, the percentage of the total number of adjacent RR intervals with a difference > 50ms) is also used in its absolute value, changes in time series and pNN50 distribution or statistical status of the same condition group and changes in time series, which can evaluate the coordination of physical health;

The waveform of the personal RR value in a specific time series can convert the signal in the time domain into a signal in the frequency domain, using the ratio of Power Density (energy density) between different frequency bands on the spectrum, such as LF/HF (LF: Low Frequency, 0.04 ~ 0.15Hz; HF: High Frequency, 0.15 ~ 0.40Hz), its absolute value and changes in time series, to evaluate the coordination of physical health;

Plot the relationship between the RR value and the next RR value on the time series in a specific period in two-dimensional coordinates, and the scatter diagram Scattergram can be obtained;

Use the time series changes of each Scattergram measured at different times to evaluate the coordination of physical health;

Draw a histogram of the number of occurrences of the RR value measured during a specific period. The distribution formed by the graph can be covered by a triangle. Use the length of the base of the triangle and the values produced by different time measurements in the time series It can evaluate the physical health and coordination status of the body. The above-mentioned detection data is automatically calculated and analyzed by the calculator and the data records are stored in the memory. It can evaluate and analyze the physical health coordination status of the subject and take appropriate measures to relieve pain. The victim is thus informed of appropriate care and protection.

Background technique

With the rapid development of modern medicine and the precise measurement of instruments, especially for the differentiation of cardiovascular and nervous system causes, it is still impossible to collect non-immediate or real-time diseases as reference materials for diagnosis, although immediate or real-time diseases The diagnosis of the disease only provides a digital physiological signal such as blood pressure signal, cardiac cycle, local congestion signal, heart sound signal, local oxygen content signal and heart rate signal. The monitoring equipment can only generalize the cause of the disease. The principle of the traditional electrocardiogram is the weak current generated by the contraction and expansion of the heart. When the current passes through the whole body, it can be transferred to the current device through the electrodes placed on the hands and feet, and then recorded on the paper tape with ripples. That is the electrocardiogram. From the changes in the electrocardiogram waveform, it is only speculated that the patient may suffer from heart displacement, myocardial infarction, coronary artery disease, irregular pulse, pericarditis, electrolyte metabolism imbalance, atrial or ventricular hypertrophy, etc.

Contents of the invention

The purpose of the present invention is to provide a method for analyzing physical health coordination data.

The present invention utilizes statistics and frequency spectrum analysis to generate upper and lower limit value difference, and non-linear analysis method, changes in value and graph in time series, and evaluates whether the body is healthy and coordinated. The method includes: SDNN (Standard Deviation of All Normal) within a period RR Intervals) value refers to the standard deviation of the normal RR period in a specific period; the coordination analysis method includes: in the statistical analysis step, the statistical analysis of the absolute value of the individual SDNN, the change of the individual SDNN in the time series, and the individual SDNN Evaluate the coordination of physical health with the SDNN value distribution or statistical status of the same condition group and the change in time series;

pNN50 (The proportion derived by diving NN50 by the total number of RRIntervals, the percentage of the total number of adjacent RR intervals with a difference > 50ms) is also used in its absolute value, changes in time series and pNN50 distribution or statistical status of the same condition group and changes in time series, which can evaluate the coordination of physical health;

The waveform of the personal RR value in a specific time series can convert the signal in the time domain into a signal in the frequency domain, using the ratio of Power Density between different frequency bands on the spectrum, such as LF/HF (LF: Low Frequency, 0.04～ 0.15Hz; HF: High Frequency, 0.15～0.40Hz), its absolute value and changes in time series to evaluate the coordination of physical health;

Plot the relationship between the RR value and the next RR value on the time series in a specific period in two-dimensional coordinates, and the scatter diagram Scattergram can be obtained;

Use the time series changes of each Scattergram measured at different times to evaluate the coordination of physical health;

Draw a histogram of the number of occurrences of the RR value measured during a specific period. The distribution formed by the graph can be covered by a triangle. Use the length of the base of the triangle and the values produced by different time measurements in the time series It can evaluate the physical health and coordination status of the body. The above-mentioned detection data is automatically calculated and analyzed by the calculator and the data records are stored in the memory. It can evaluate and analyze the physical health coordination status of the subject and take appropriate measures to relieve pain. The patient is thus informed and informed about appropriate care.

Definitions of technical terms:

RR: the distance between R and R.

SDRR: Standard deviation during RR.

SDNN: Standard deviation during normal RR.

NN50: The number of interval difference of successive RR intervals greater than 50ms, the total number of adjacent RR periods with a difference >50ms.

pNN50: The proportion derived by diving NN50 by the total number of RR

Intervals, the percentage of the total number of adjacent RR intervals with a difference >50ms.

Scattergram: Scatter plot.

Histogram: Histogram.

Spectrum distribution:

TP: Total frequency domain value (Total Power), 0.003-0.4Hz (ms2/Hz).

VLF: very low frequency components 0.003 ~ 0.04Hz (ms2/Hz).

LF: low frequency component 0.04 ~ 0.15Hz (ms2/Hz).

HF: High frequency component 0.15 ~ 0.40Hz (ms2/Hz).

LFnu: The normalized value of Low frequency normalized units LF/(TP-VLF)*100%(%).

HFnu: The normalized value of High frequency normalized units high frequency HF/(TP-VLF)*100%(%).

LF/HF: Low frequency to high frequency ratio low frequency / high frequency ratio.

The present invention will be described in detail below with specific examples in conjunction with the accompanying drawings.

Description of drawings

Fig. 1 is a better flow chart of physical health coordination of the present invention;

Fig. 2 is a schematic diagram of an embodiment of the present invention.

Explanation of reference numerals: heart rhythm analysis device 1; standard deviation 10 during SDNN-normal RR; calculator 2; change index 3 of heart rate variability (HeaRtRateVaRiab); non-linear Fourier transformation produces icon value pointer 4;

Detailed ways

As shown in Figures 1 and 2, the present invention provides a method for analyzing physical health coordination data, including: a heart rhythm analysis device 1 uses RR changes to count the values on it, and converts RR changes into frequency-domain signal analysis, The nonlinear analysis of the relationship and quantity between RR and RR can evaluate whether the body is healthy and coordinated. The method includes the following steps:

Cardiac rhythm analysis device 1 includes a calculator 2 of a time domain pointer: the SDNN (StandardDeviation of All Normal RR Intervals) value in a period refers to the standard deviation of the normal RR period in a specific period.

The coordination analysis method includes: in the statistical analysis department, analyze the absolute value of personal SDNN, the change of personal SDNN in time series, and the distribution or statistical status of SDNN value of personal SDNN and the group with the same conditions and the time series Changes to assess physical fitness coordination.

pNN50 (The proportion derived by diving NN50 by the total number of RRIntervals, the percentage of the total number of adjacent RR intervals with a difference > 50ms) is also used in its absolute value, changes in time series and pNN50 distribution or statistical status of the same condition group And the changes in time series can evaluate the coordination of physical health.

Frequency Domain Analysis Calculator: The waveform of personal RR value in a specific time series can convert the signal in the time domain to the signal in the frequency domain, using the ratio of Power Density between different frequency bands on the spectrum, such as LF/HF ( LF: Low Frequency, 0.04 ~ 0.15Hz. HF: High Frequency, 0.15 ~ 0.40Hz), its absolute value and changes in time series, to evaluate the coordination of physical health.

A non-linear algorithm: plot the relationship between the RR value on the time series and the next RR value in a specific period in two-dimensional coordinates, and obtain the Scattergram;

Use the changes in the time series of each scatter diagram 5Scattergram measured at different times to evaluate the physical health coordination status, and draw the histogram of the number of times the RR value measured during a specific period occurs, and the distribution formed by the graph, It can be covered with a triangle, and the body health coordination can be evaluated by using the length of the base of the triangle and the change in time series of the values generated by different time measurements.

According to the above-mentioned detection data, it automatically calculates and analyzes through the calculator 2 and stores the data records in the memory at the same time.

This physical health coordination analysis method provides non-invasive measurement in conjunction with the change index 3 of heart rate variability (HeaRtRate VaRiab) to observe the distribution of heart rate variability directly or through nonlinear Fourier transform to generate icon value pointers 4, which can be effectively used as a practical Clinical standard judgment method.

The present invention provides a method for analyzing physical health coordination data. According to the physiological condition data collected by a group of subjects, the calculation unit 2 is used to deduce the above-mentioned statistics, frequency spectrum, nonlinear graphics and numerical values, as well as the results in time series. The change is used as a coordination or non-coordination standard, and its detection data is automatically calculated and analyzed by the calculator 2, and the data records are stored in the memory at the same time.

The present invention has the following characteristics:

1. Use the statistics, frequency spectrum and nonlinear analysis measured by the computer to further generate the difference between the upper and lower limit values to analyze the statistical results of a RR period, and evaluate the body coordination by further defining the numerical values based on the analysis results.

2. Evaluate the coordination of physical health with the absolute value of personal SDNN, the change of personal SDNN in time series, and the distribution or statistical status of SDNN value of personal SDNN and the population of the same condition and the change in time series.

3. Observing the distribution of heart rate variability with non-invasive measurement combined with the change index of the heart rate variability (HeaRtRateVaRiab). Directly observe or generate icon numerical indicators through nonlinear Fourier transform as the actual clinical standard judgment method.

Claims (7)

1, a kind of physical health coordination data analysis method, it is characterized in that: comprise: utilize the statistics that computer measures, frequency spectrum and nonlinear analysis, further produce upper and lower limit value difference, to analyze two R point distance period values on an electrocardiogram Statistical results, according to the further defined values of the analyzed data results to evaluate the body coordination; The analysis method includes: the heart rhythm analysis device utilizes the difference between the upper and lower limit values generated by statistics and spectrum analysis, and nonlinear analysis methods, changes in the numerical values and graphics in the time series, and evaluates whether the body is healthy and coordinated. The defined values include: The standard deviation value of all normal two R-point periods on the electrocardiogram within a period refers to the output of the standard deviation during the two R-point distance periods on the normal electrocardiogram within a specific period to provide data analysis for judging physical health coordination; wherein the coordination The sex analysis method includes: in the statistical analysis step, the absolute value of the standard deviation between all normal two R points on the personal electrocardiogram is statistically analyzed, the change situation of the standard deviation on the time series of all normal two R points on the personal electrocardiogram, and The standard deviation of all normal two R-point periods on an individual's ECG and the standard deviation distribution or statistical status and changes in time series of all normal two R-point periods on the ECG of the same condition group are used to evaluate physical health coordination Sexuality, including the percentage of the total number of two R points on the adjacent ECG with a difference greater than 50ms, also applied to its absolute value and time series changes, and the distance interval between two R points on the adjacent ECG of the same condition group The percentage distribution of the total number with a difference of more than 50ms, or the statistical status and the change status in the time series, to evaluate the coordination of physical health. 2. The method for analyzing physical health coordination data as claimed in claim 1, characterized in that: for the waveform of the distance value between two R points on the individual's electrocardiogram in a specific time series, the signal in the time domain is converted into a frequency The ratio of energy density between different frequency bands on the spectrum is used for the signal on the domain. 3. The method for analyzing physical health coordination data according to claim 1, characterized in that it includes evaluating physical health coordination by using absolute values and changes in time series. 4. The method for analyzing physical health coordination data as claimed in claim 1, characterized in that: the distance between the two R points on the electrocardiogram on the time series and the distance between the two R points on the next electrocardiogram within a specific period is calculated. The relationship is plotted in two-dimensional coordinates, and a scatter diagram Scattergram can be obtained. 5. The method for analyzing physical health coordination data according to claim 1, characterized in that it includes using the changes in the time series of each scattergram measured at different times to evaluate the physical health coordination status. 6. The method for analyzing physical health coordination data as claimed in claim 1, characterized in that it includes drawing a histogram of the times of occurrence of distance values between two R points on the electrocardiogram measured during a specific period, and the graph formed The distribution uses a triangle to cover it, and uses the length of the base of the triangle and the changes in the time series of the values generated by different time measurements to evaluate the coordination of physical health. 7. The method for analyzing physical health coordination data according to claim 1, characterized in that: the detected data is automatically calculated and analyzed by a calculator, and the data records are stored in the memory at the same time.

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