CN1641675A - Body health harmony data analysing method - Google Patents
Body health harmony data analysing method Download PDFInfo
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- CN1641675A CN1641675A CN 200410000183 CN200410000183A CN1641675A CN 1641675 A CN1641675 A CN 1641675A CN 200410000183 CN200410000183 CN 200410000183 CN 200410000183 A CN200410000183 A CN 200410000183A CN 1641675 A CN1641675 A CN 1641675A
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Abstract
The invention discloses a body health compatibility data analysis method. It uses the statistics, frequency analysis to produce upper and lower limits numerical value difference, and nonlinear analysis method to evaluate whether body is healthy according to the variable of value and image on time series. It includes SDNN in one cycle, pNN50 and waveform of personal RR value under certain time series to evaluate body healthy compatibility state.
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 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, learn suitable looking after in order to do therefore ailing person is informed.
Background technology
The accurate measurement with instrument of developing rapidly along with modern medicine, be meant that especially cardiovascular and nerve is the disease of distinguishing of the system cause of disease, still can't collect at present non-is the reference that disease is distinguished in property or disease conduct in real time, the disease of distinguishing that only 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 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 RRIntervals differs＞number percent that faces RR interval 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 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 (HeaRtRateVaRiab) 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 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 variability (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 actual clinical standard determination methods.
Claims (8)
1, a kind of healthy harmony analysis method, comprise: the statistics, frequency spectrum and the nonlinear analysis that utilize computing machine to record, further produce the bound numerical difference between, to analyze numerical statistic result during the RR, 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, and it comprises: the output of 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 provides judgement healthy harmony analysis.
2, healthy harmony analysis method as claimed in claim 1, 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 SDNN value of individual SDNN and similarity condition group distributes or statistics situation and the situation of change on time series, assess healthy harmony with this, comprise pNN50 (Theproportion derived by diving NN50 by the total number of RR Intervals, differ＞number percent that faces RR interval RR interval sum mutually of 50ms) be used in its absolute value equally, variation on the time series with distribute or statistics situation and the changing condition on time series with the pNN50 of condition group, to assess healthy harmony.
3, healthy harmony analysis method as claimed in claim 1, comprise the waveform of RR numerical value on the special time sequence for the individual, signal on the time domain is converted to signal on the frequency domain, utilizes on the frequency spectrum ratio of Power Density between the different frequency range.
4, healthy harmony analysis method as claimed in claim 1 wherein, comprises and utilizes absolute value and the situation of change on time series, assesses healthy harmony.
5, healthy harmony analysis method as claimed in claim 1 wherein, ties up to two-dimensional coordinate with the pass between RR value and the next RR value on the interior time series between given period and draws out figure, can get a scatter diagram Scattergram.
6, healthy harmony analysis method as claimed in claim 1 comprises the situation of change of each scatter diagram Scattergram on time series that the utilization different time measures, and assesses healthy coordination situation.
7, healthy harmony analysis method as claimed in claim 1, comprise that the number of times that the RR value of specific measurement period is 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.
8, healthy harmony analysis method as claimed in claim 1 wherein should detect the gained data via the automatic computational analysis of exerciser, simultaneously the data record was stored in the storer.
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| CNB2004100001833A CN100449557C (en) | 2004-01-07 | 2004-01-07 | Body health harmony data analysing method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103815896A (en) * | 2014-01-22 | 2014-05-28 | 东软熙康健康科技有限公司 | Mental fatigue monitoring method, device and system and mobile processing terminal |
| CN108766576A (en) * | 2018-07-03 | 2018-11-06 | 深圳迪美泰数字医学技术有限公司 | A kind of health deposit appraisal procedure, device and its application |
Family Cites Families (3)
| 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 |
| JP3558050B2 (en) * | 2000-04-17 | 2004-08-25 | 日本電気株式会社 | Urine testing device |
| 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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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103815896A (en) * | 2014-01-22 | 2014-05-28 | 东软熙康健康科技有限公司 | Mental fatigue monitoring method, device and system and mobile processing terminal |
| CN103815896B (en) * | 2014-01-22 | 2016-04-27 | 东软熙康健康科技有限公司 | A kind of mental fatigue monitoring method, device, system and mobile processing terminal |
| CN108766576A (en) * | 2018-07-03 | 2018-11-06 | 深圳迪美泰数字医学技术有限公司 | A kind of health deposit appraisal procedure, device and its application |
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