CN100449557C - Body health harmony data analysing method - Google Patents
Body health harmony data analysing method Download PDFInfo
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- CN100449557C CN100449557C CNB2004100001833A CN200410000183A CN100449557C CN 100449557 C CN100449557 C CN 100449557C CN B2004100001833 A CNB2004100001833 A CN B2004100001833A CN 200410000183 A CN200410000183 A CN 200410000183A CN 100449557 C CN100449557 C CN 100449557C
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Abstract
The present invention discloses a method for analyzing the data of body health harmony. In the method, statistics and frequency spectrum analysis are used for generating the difference of an upper limit value and a lower limit value, and a non-linear analytical method and the changes of the values and figures in the time sequence are used for evaluating whether the body health is harmonic. The method comprises the steps that an SDNN (Standard Deviation of All Normal RR Intervals) value in an interval is the standard difference of the normal RR intervals in the specified interval, and a statistical analysis part evaluates the harmony of the body health according to an individual SDNN absolute value, the change situation of an individual SDNN value in the time sequence, the distribution or statistics situation and the change situation in the time sequence of the individual SDNN value and a group of the same condition; pNN50 (the proportion derived by dividing NN50 by the total number of RR Intervals, the RR interval total percent of adjacent RR intervals of which the phase difference is larger than 50 ms) is also applied to the change of the absolute value and the time sequence, the distribution or statistics situation and the change situation in the time sequence of the pNN50 of the group of the same condition, and thus, the harmony of the body health can be evaluated. Besides, the waveform of an individual RR value in the specified time sequence can convert signals in a time domain into the signals in a frequency domain; the harmony condition of the body health can be evaluated by using the proportion of Power Density among different frequency bands in the frequency spectrum and using the change situations of a scatter diagram of each time in the time sequence, and the change situations are measured at different time.
Description
Technical field
The present invention relates to a kind of healthy harmony analysis method.Comprise: a rhythm of the heart analytical equipment: utilize statistics, spectrum analysis to produce the bound numerical difference between, and nonlinear analysis mode, the variation of numerical value and figure on time series, whether healthy its method of coordinating comprises can to assess health: the standard deviation in SDNN (the Standard Deviation of All Normal RR Intervals) value in during is meant between given period during the normal RR; Wherein this harmony analytical approach comprise with: in statistical study partly, individual SDNN absolute value, the situation of change of individual SDNN on time series, and the distribution of the SDNN value of individual SDNN and similarity condition group or statistics situation and the situation of change on time series, assess healthy harmony;
PNN50 (The proportion derived by diving NN50 by the total number of RRIntervals, differing＞number percent that faces RR interval sum mutually of 50ms) variation that is used in equally on its absolute value, the time series distributes or statistics situation and the changing condition on time series with pNN50 with condition group, can assess healthy harmony;
Individual's the waveform of RR numerical value on the special time sequence, signal on the time domain can be converted to the signal on the frequency domain, utilize on the frequency spectrum ratio of Power Density (energy density) between the different frequency range, as LF/HF (LF:Low Frequency, 0.04～0.15Hz; HF:HighFrequency, 0.15～0.40Hz), its absolute value and the situation of change on time series are assessed healthy harmony;
Pass between RR value and the next RR value on the interior time series between given period is tied up to two-dimensional coordinate draw out figure, can get scatter diagram Scattergram;
The situation of change of each Scattergram on time series that the utilization different time measures can be assessed healthy coordination situation;
The number of times that the RR value of specific measurement period is taken place is drawn histogram; the distribution that its figure constituted; can utilize triangle that it is coated; use this leg-of-mutton base length and different time to measure the changing condition of value on time series that is produced; can assess healthy coordination situation; above-mentioned detection data are stored in the data record in the storer simultaneously via the automatic computational analysis of exerciser; then can assess and analyze the healthy coordination situation of testee and suitably dispose, therefore ailing person is informed and learn adequate consideration and protection.
Background technology
The accurate measurement with instrument of developing rapidly along with modern medicine, be meant the disease of distinguishing cardiovascular and the nervous system cause of disease especially, still can't collect at present non-is the reference that disease is distinguished in property or disease conduct in real time, though the disease of distinguishing that is property or real-time disease only provides a digital physiological signal such as blood pressure signal, cardiac cycle, contrafluxion amount signal, the hear sounds signal, local oxygen level signal and heart rate signal monitoring instrument can only generally be judged the cause of disease, because the definite illness data of shortcoming, can't understand the health status of health eventually and traditional Electrocardiographic principle is to see through the weak current that heart contraction and extensional motion are produced, electric current can be via the electrode that is placed in the trick through whole body, transfer to the electric current device, note down on paper tape with ripple again, this promptly is a cardiogram, from the variation of electrocardiographic wave, only infer and to suffer from displacement of heart, miocardial infarction, coronary artery pathological changes, allorhythmic pulse, pericarditis, unbalance atrium of electrolyte metabolism or ventricular hypertrophy disease etc.
Summary of the invention
The purpose of this invention is to provide a kind of healthy harmony analysis method.
The present invention utilizes statistics, spectrum analysis to produce the bound numerical difference between, and nonlinear analysis mode, the variation of numerical value and figure on time series, the assessment health whether coordinate by health, and its method comprises: the standard deviation in SDNN (the Standard Deviation of All Normal RR Intervals) value in during is meant between given period during the normal RR; Wherein this harmony analytical approach comprises: in the statistical study step, statistical study individual SDNN absolute value, the situation of change of individual SDNN on time series, and the distribution of the SDNN value of individual SDNN and similarity condition group or statistics situation and the situation of change on time series, assess healthy harmony;
PNN50 (The proportion derived by diving NN50 by the total number of RRIntervals, differing＞number percent that faces RR interval sum mutually of 50ms) variation that is used in equally on its absolute value, the time series distributes or statistics situation and the changing condition on time series with pNN50 with condition group, can assess healthy harmony;
Individual's the waveform of RR numerical value on the special time sequence can be converted to the signal on the time domain signal on the frequency domain, utilizes on the frequency spectrum ratio of Power Density between the different frequency range, as LF/HF (LF:LowFrequency, 0.04～0.15Hz; HF:High Frequency, 0.15～0.40Hz), its absolute value and the situation of change on time series are assessed healthy harmony;
Pass between RR value and the next RR value on the interior time series between given period is tied up to two-dimensional coordinate draw out figure, can get scatter diagram Scattergram;
The situation of change of each Scattergram on time series that the utilization different time measures can be assessed healthy coordination situation;
The number of times that the RR value of specific measurement period is taken place is drawn histogram, the distribution that its figure constituted, can utilize triangle that it is coated, use this leg-of-mutton base length and different time to measure the changing condition of value on time series that is produced, can assess healthy coordination situation, above-mentioned detection data are stored in the data record in the storer simultaneously via the automatic computational analysis of exerciser, then can assess and analyze the healthy coordination situation of testee and suitably dispose, therefore ailing person is informed and learn suitable looking after.
The technical term definition:
Distance between RR:R and the R.
Standard deviation during the SDRR:RR.
SDNN: the standard deviation during the normal RR.
NN50:The number of interval difference of successive RR intervals greater than50ms, differ＞50ms faces the sum during the RR mutually.
pNN50：The?proportion?derived?by?diving?NN50?by?the?total?number?of?RR
Intervals differs＞number percent that faces RR interval sum mutually of 50ms.
Scattergram: scatter diagram.
Histogram: histogram.
Spectrum distribution:
TP: total frequency domain value (Total Power), 0.003-0.4Hz (ms2/Hz).
VLF: extremely low frequency composition 0.003～0.04Hz (ms2/Hz).
LF: low-frequency component 0.04～0.15Hz (ms2/Hz).
HF: radio-frequency component 0.15～0.40Hz (ms2/Hz).
Normalized value LF/ (TP-VLF) * 100% (%) of LFnu:Low frequency normalised units low frequency.
Normalized value HF/ (TP-VLF) * 100% (%) of HFnu:High frequency normalised units high frequency.
LF/HF:Low frequency to high frequency ratio low frequency/high frequency ratio.
The present invention is described in detail with instantiation below in conjunction with accompanying drawing.
Description of drawings
Fig. 1 is the preferable process flow diagram of healthy harmony of the present invention;
Fig. 2 is the embodiments of the invention synoptic diagram.
Description of reference numerals: cardiac rhythm analysis device 1; Standard deviation 10 during the normal RR of SDNN-; Exerciser 2; The variability index 3 of heart rate variability (HeaRtRateVaRiab); Non-linear fourier transform produces icon value pointer 4; Scatter diagram 5.
Embodiment
Figure 1 and Figure 2, the present invention provides a kind of healthy harmony analysis method, comprise: a rhythm of the heart analytical equipment 1 utilizes the RR changing condition to add up numerical value on it, RR is changed the analysis that converts the frequency domain signal to, and relation and the analysis of quantity on non-linear between RR, whether healthy its method of coordinating comprises following steps can to assess health:
The normal standard deviation during the RR in cardiac rhythm analysis device 1, the exerciser that comprises time domain pointer SDNN (the StandardDeviation of All Normal RR In tervals) value in during 2: is meant between given period.
Wherein this harmony analytical approach comprise with: in statistical study portion, analyzing personal SDNN absolute value, the situation of change of individual SDNN on time series, and the distribution of the SDNN value of individual SDNN and similarity condition group or statistics situation and the situation of change on time series, assess healthy harmony with this.
PNN50 (The proportion derived by diving NN50 by the total number of RRIntervals, differing＞number percent that faces RR interval sum mutually of 50ms) variation that is used in equally on its absolute value, the time series distributes or statistics situation and the changing condition on time series with pNN50 with condition group, can assess healthy harmony.
Frequency-domain analysis exerciser: individual's the waveform of RR numerical value on the special time sequence, signal on the time domain can be converted to the signal on the frequency domain, utilize on the frequency spectrum ratio of Power Density between the different frequency range, as LF/HF (LF:Low Frequency, 0.04～0.15Hz.HF:High Frequency, 0.15～0.40Hz), its absolute value and the situation of change on time series are assessed healthy harmony.
One nonlinear algorithm: the pass between RR value and the next RR value on the interior time series between given period is tied up to two-dimensional coordinate draw out figure, can get Scattergram;
The situation of change of each scatter diagram 5Scattergram on time series that the utilization different time measures, assess healthy coordination situation, the number of times that the RR value of specific measurement period is taken place is drawn histogram Histogram, the distribution that its figure constituted, can utilize triangle that it is coated, use this leg-of-mutton base length and different time to measure the changing condition of value on time series that is produced, can assess healthy coordination situation.
Simultaneously the data record is stored in the storer via exerciser 2 automatic computational analysiss according to aforementioned detection data.
This healthy harmony analytical approach, the variability index 3 that provides non-intrusion measurement to cooperate heart rate variability (HeaRtRate VaRiab) observes HRV distribution situation Direct observation or produces icon value pointer 4 via non-linear fourier transform, can supply effectively as actual clinical standard determination methods.
The present invention provides a kind of healthy harmony analysis method, deduce out above-mentioned statistics according to the health physiological situation data that a testee of group collects via exerciser 2, numerical value such as frequency spectrum and nonlinear patterns and numerical value and the variation on time series, as coordinating or inharmonious standard, it detects data via exerciser 2 automatic computational analysiss, simultaneously the data record is stored in the storer.
The present invention has following characteristics:
1, the statistics, frequency spectrum and the nonlinear analysis that utilize computer to record further produce bound numerical value Difference, to analyze numerical statistic result during the RR, the numerical value that further is provided with defining according to analysis result comes The assessment body harmony.
2, with individual SDNN absolute value, the situation of change of individual SDNN on time series, and individual The SDNN value of SDNN and similarity condition group distributes or statistics situation and the variation feelings on time series Condition is assessed healthy harmony.
3, cooperate the variability index of heart rate variation (HeaRtRateVaRiab) to observe with non-intrusion measurement The HRV distribution situation is directly observed or is produced icon numerical value index via non-linear Fourier transform and does Be the clinical standard of reality judgement method.
Claims (7)
1, a kind of healthy harmony analysis method, it is characterized in that: comprising: the statistics, frequency spectrum and the nonlinear analysis that utilize computing machine to record, further produce the bound numerical difference between, to analyze on the cardiogram numerical statistic result during two R point distances, further assess body harmony for the numerical value of definition according to analyzing back data result;
Its analytical approach comprises: the bound numerical difference between that cardiac rhythm analysis device utilization statistics, spectrum analysis produce, and nonlinear analysis mode, the variation of numerical value and figure on time series, the assessment health whether coordinate by health, the numerical value of described definition comprises: the standard difference on the cardiogram in during during all normal two R points, in it is meant between given period on the normal ECG two R points apart from during the output of standard deviation provide judgement healthy harmony analysis; Wherein this harmony analytical approach comprises: in the statistical study step, standard deviation absolute value on the statistical study personal electrocardiogram during all normal two R points, the situation of change of standard deviation on time series on the personal electrocardiogram during all normal two R points, and the distribution of standard difference or statistics situation and the situation of change on time series during all normal two R points on the cardiogram of the standard deviation during all normal two R points and similarity condition group on the personal electrocardiogram, assess healthy harmony with this, comprise that facing on the cardiogram two R points differ by more than the sum of 50ms apart from interval number percent mutually is used in its absolute value equally, variation on the time series, with with condition group face two R point on the cardiogram differs by more than the 50ms sum apart from interval percent profile mutually, or statistics situation and the changing condition on time series, to assess healthy harmony.
2, healthy harmony analysis method as claimed in claim 1, it is characterized in that: comprise for the waveform of two R point distance values on the special time sequence on individual's the cardiogram, signal on the time domain is converted to signal on the frequency domain, utilizes on the frequency spectrum ratio of energy density between the different frequency range.
3, healthy harmony analysis method as claimed in claim 1 is characterized in that: comprise and utilize absolute value and the situation of change on time series, assess healthy harmony.
4, healthy harmony analysis method as claimed in claim 1, it is characterized in that: the pass between two R point distance values on two R point distance values and the next cardiogram on the cardiogram on the time series between given period is tied up to two-dimensional coordinate draw out figure, can get a scatter diagram Scattergram.
5, healthy harmony analysis method as claimed in claim 1 is characterized in that: comprise the situation of change of each scatter diagram Scattergram on time series that the utilization different time measures, assess healthy coordination situation.
6, healthy harmony analysis method as claimed in claim 1, it is characterized in that: comprise that the number of times that two R point distance values on the cardiogram of specific measurement period are taken place draws a histogram, the distribution that its figure constituted utilizes triangle that it is coated, use this leg-of-mutton base length and different time to measure the changing condition of value on time series that is produced, assess healthy coordination situation.
7, healthy harmony analysis method as claimed in claim 1 is characterized in that: these detection gained data are stored in the data record in the storer simultaneously via the automatic computational analysis of exerciser.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1121798A (en) * | 1994-08-16 | 1996-05-08 | 北京工业大学 | Cardiovascular function dynamic parameter testing analysis method and apparatus |
| CN1371660A (en) * | 2001-02-22 | 2002-10-02 | 上海市脑血管病防治研究所 | Method for evaluating apoplexy dangerous posibility by cerebrovascular hemodynamics parameter |
| JP2002318855A (en) * | 2000-04-17 | 2002-10-31 | Nec Corp | Method and system for providing health management service for person at home |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1121798A (en) * | 1994-08-16 | 1996-05-08 | 北京工业大学 | Cardiovascular function dynamic parameter testing analysis method and apparatus |
| JP2002318855A (en) * | 2000-04-17 | 2002-10-31 | Nec Corp | Method and system for providing health management service for person at home |
| CN1371660A (en) * | 2001-02-22 | 2002-10-02 | 上海市脑血管病防治研究所 | Method for evaluating apoplexy dangerous posibility by cerebrovascular hemodynamics parameter |
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| 特开2002-318855A 2002.10.31 |
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