CN109512392A - Calculation method, system and the storage medium of oxygen saturation measurement confidence level - Google Patents
Calculation method, system and the storage medium of oxygen saturation measurement confidence level Download PDFInfo
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- CN109512392A CN109512392A CN201811481768.XA CN201811481768A CN109512392A CN 109512392 A CN109512392 A CN 109512392A CN 201811481768 A CN201811481768 A CN 201811481768A CN 109512392 A CN109512392 A CN 109512392A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7221—Determining signal validity, reliability or quality
Abstract
The invention discloses the calculation method of oxygen saturation measurement confidence level, system and storage mediums, method includes: to record intensity signal by photoplethysmographic graphical method, and the intensity signal includes feux rouges, infrared transmission luminous intensity and infrared light reflection luminous intensity；The linear regression model (LRM) of pulse blood oxygen signal characteristic value is established according to intensity signal；Calculate the confidence level of linear regression straight line in linear regression model (LRM)；According to the confidence level of linear regression straight line, the confidence level of oxygen saturation measurement result is obtained.The present invention constructs to obtain linear regression model (LRM) by the intensity signal that photoplethysmographic graphical method obtains, the confidence level of oxygen saturation measurement result is obtained finally by linear regression model (LRM), and then realization is to the reliability assessment of measured value, the case where avoiding missing inspection caused by the influence of the disturbing factors such as motion artifact and noise and erroneous detection, improve the reliability of oxygen saturation measurement result, it is more scientific, it can be widely applied to signal processing technology field.
Description
Technical field
The present invention relates to signal processing technology fields, the especially calculation method of oxygen saturation measurement confidence level, system
And storage medium.
Background technique
The diastole of heart and contraction driving blood stream make oxygen and reduced hemoglobin (hemoglobin, Hb) through lung
It is combined into oxyhemoglobin (Oxyhemoglobin, HbO2), oxygen discharges after being transported to capillary by blood.Enough
Oxygen be realize human tissue cell metabolism, sustain life movable material base.Blood oxygen saturation is a kind of anti-
The important physiological parameter for reflecting oxygen content in blood has direct relationship with respiratory system, the circulatory system and cardio-pulmonary function.
Currently, blood oxygen saturation is widely used in Intensive Care Therapy, family health care and the sign inspection of high-risk professional such as fireman, pilot
It surveys.
The detection method of blood oxygen saturation can be divided into invasive detection and two kinds of Non-invasive detection.Wherein invasive blood oxygen saturation
Detection is mainly using Van Slyke pressure inspection method and oxygen electrode method.The main means of Non-invasive detection are that photoplethysmographic is traced
Method (photoplethysmography, PPG).Blood vessel blood volume changes with diastole and when shrinking, and causes to light absorption
The luminous intensity of the difference of rate, reflection or transmission is also in pulsating nature mechanical periodicity therewith.Pulse wave blood oxygen analysis instrument utilizes photocapacitance
Product pulse tracing is reflection or the transmitted intensity of 660nm feux rouges and 940nm infrared light, Jin Ergen by recording wavelength
Blood oxygen saturation is extrapolated according to Lambert-Beer law.In actual measurement, accurately calculating pulse blood oxygen signal characteristic value R is
The key of Non-invasive detection blood oxygen saturation is realized based on photoplethysmographic graphical method.
Traditional R value extracting method is needed pulse Wave Decomposition into two kinds of ingredients of AC/DC, and wherein alternating component reflects blood
Absorption of the HbO2 and Hb to light in liquid, flip-flop reflect non-blood tissue such as muscle, bone, fat and water etc. pair in finger tip
The absorption of light.The calculating of alternating component usually using peak-to-valley value method, that is, be approximately considered in a pulse cycle peak value and valley it
Between difference be alternating component amplitude.In measurement and alternating current-direct current decomposable process, the interference and random noise that introduce and generate
It will affect the R value precision of peak-to-valley value method calculating, it usually needs precision is improved using being averaged for multiple period peak-to-valley values, thus shadow
Ring the real-time calculated.It is proposed that a kind of method using linear regression model (LRM) calculates R value, this method is taken full advantage of
The data of all sampled points, rather than the peak-to-valley value with pulse wave is only relied only on, improve the stability of calculated result.However, light
Electro-detection is easy to be influenced by external light environment and finger tip motion artifact causes blood engorgement situation and transmission path
Variation.The case where above-mentioned factor can cause measurement result to be distorted, and lead to missing inspection and erroneous detection.Currently, blood oxygen saturation is tested
Instrument shortage analyses the reliability of measurement result scientifically, how rationally to assess the reliability of measured value, is an industry urgency
Problem to be solved.
Summary of the invention
In order to solve the above technical problems, it is an object of the invention to: a kind of oxygen saturation measurement of high reliablity is provided
Calculation method, system and the storage medium of confidence level.
The technical solution that one aspect of the present invention is taken are as follows:
The calculation method of oxygen saturation measurement confidence level, comprising the following steps:
Intensity signal is recorded by photoplethysmographic graphical method, the intensity signal includes feux rouges, infrared transmission
Luminous intensity and infrared light reflection luminous intensity；
The linear regression model (LRM) of pulse blood oxygen signal characteristic value is established according to intensity signal；
Calculate the confidence level of linear regression straight line in linear regression model (LRM)；
According to the confidence level of linear regression straight line, the confidence level of oxygen saturation measurement result is obtained.
Further, described the step for intensity signal is recorded by photoplethysmographic graphical method, comprising the following steps:
By photoplethysmographic graphical method, intensity signal analog signal is obtained；
Intensity signal digital signal is converted by intensity signal analog signal；
Wherein, the intensity signal analog signal is continuous signal, and the intensity signal digital signal is discrete letter
Number.
Further, the step for the linear regression model (LRM) that pulse blood oxygen signal characteristic value is established according to intensity signal,
The following steps are included:
Intermediate variable is calculated according to discrete intensity signal digital signal；
Equation of linear regression is established according to intermediate variable；
Linear fit is carried out using least square method, the parameter of equation of linear regression is calculated；
According to the parameter being calculated, the linear regression model (LRM) of pulse blood oxygen signal characteristic value is established.
Further, described the step for calculating the confidence level of linear regression straight line in linear regression model (LRM), including following step
It is rapid:
By linear regression model (LRM), total sum of sguares of deviation from mean is calculated；
By linear regression model (LRM), residual sum of squares (RSS) is calculated；
According to total sum of sguares of deviation from mean and residual sum of squares (RSS), regression sum of square is calculated；
According to regression sum of square and total sum of sguares of deviation from mean, the confidence level of linear regression straight line is calculated.
Further, the confidence level according to linear regression straight line, obtain oxygen saturation measurement result confidence level this
One step, specifically:
Judge whether the confidence level of linear regression straight line is greater than preset threshold value, if so, determining the survey of blood oxygen saturation
Measure credible result；It is on the contrary, it is determined that the measurement result of blood oxygen saturation is insincere.
Another aspect of the present invention is adopted the technical scheme that:
The computing system of oxygen saturation measurement confidence level, comprising:
Logging modle, for recording intensity signal by photoplethysmographic graphical method, the intensity signal includes red
Light, infrared transmission luminous intensity and infrared light reflection luminous intensity；
Model construction module, for establishing the linear regression model (LRM) of pulse blood oxygen signal characteristic value according to intensity signal；
Computing module, for calculating the confidence level of linear regression straight line in linear regression model (LRM)；
Judgment module obtains the confidence level of oxygen saturation measurement result for the confidence level according to linear regression straight line.
Further, the logging modle includes:
Module is obtained, for obtaining intensity signal analog signal by photoplethysmographic graphical method；
Conversion module, for converting intensity signal digital signal for intensity signal analog signal；
Wherein, the intensity signal analog signal is continuous signal, and the intensity signal digital signal is discrete letter
Number.
Further, the computing module includes:
First computing unit, for calculating total sum of sguares of deviation from mean by linear regression model (LRM)；
Second computing unit, for calculating residual sum of squares (RSS) by linear regression model (LRM)；
Third computing unit, for calculating regression sum of square according to total sum of sguares of deviation from mean and residual sum of squares (RSS)；
4th computing unit, for calculating linear regression straight line according to regression sum of square and total sum of sguares of deviation from mean
Confidence level.
Another aspect of the present invention is adopted the technical scheme that:
The computing system of oxygen saturation measurement confidence level, comprising:
At least one processor；
At least one processor, for storing at least one program；
When at least one described program is executed by least one described processor, so that at least one described processor is realized
The calculation method of the oxygen saturation measurement confidence level.
Another aspect of the present invention is adopted the technical scheme that:
A kind of storage medium, wherein be stored with the executable instruction of processor, the executable instruction of the processor by
For executing the calculation method of the oxygen saturation measurement confidence level when processor executes.
The beneficial effects of the present invention are: the present invention is constructed by the intensity signal that photoplethysmographic graphical method obtains
To linear regression model (LRM), the confidence level of oxygen saturation measurement result, and then realization pair are obtained finally by linear regression model (LRM)
The reliability assessment of measured value, missing inspection caused by avoiding the disturbing factors such as motion artifact and noise and influencing and the case where erroneous detection,
The reliability of oxygen saturation measurement result is improved, it is more scientific.
Detailed description of the invention
Fig. 1 is the step flow chart of the embodiment of the present invention；
Fig. 2 is the feux rouges schematic diagram of record of the embodiment of the present invention；
Fig. 3 is the infrared light schematic diagram of record of the embodiment of the present invention；
Fig. 4 is the first schematic diagram that the embodiment of the present invention calculates intermediate variable；
Fig. 5 is the second schematic diagram that the embodiment of the present invention calculates intermediate variable；
Fig. 6 is the scatter plot of data of the embodiment of the present invention；
Fig. 7 is the pulse blood oxygen signal characteristic value schematic diagram of the embodiment of the present invention；
Fig. 8 is the confidence level coefficient schematic diagram of the embodiment of the present invention.
Specific embodiment
The present invention is further explained and is illustrated with specific embodiment with reference to the accompanying drawings of the specification.For of the invention real
The step number in example is applied, is arranged only for the purposes of illustrating explanation, any restriction is not done to the sequence between step, is implemented
The execution sequence of each step in example can be adaptively adjusted according to the understanding of those skilled in the art.
Referring to Fig.1, the embodiment of the invention provides a kind of calculation method of oxygen saturation measurement confidence level, including it is following
Step:
S1, intensity signal is recorded by photoplethysmographic graphical method, the intensity signal includes that feux rouges, infrared light are saturating
Penetrate luminous intensity and infrared light reflection luminous intensity；
It is further used as the preferred embodiment of step S1, it is described that light intensity letter is recorded by photoplethysmographic graphical method
The step for breath, comprising the following steps:
S11, pass through photoplethysmographic graphical method, acquisition intensity signal analog signal；
S12, intensity signal digital signal is converted by intensity signal analog signal；
Wherein, the intensity signal analog signal is continuous signal, and the intensity signal digital signal is discrete letter
Number.
Specifically, the present embodiment is 660nm feux rouges I by recording wavelengthrd(t) with the transmission of 940nm infrared light or instead
Penetrate luminous intensity Iir(t).The present invention use photoplethysmographic graphical method, by hardware system generation wavelength be 660nm feux rouges and
940nm infrared light, the irradiation of alternation records transmission or intensity of reflected light on finger tip surface, and by analog-to-digital conversion, such as Fig. 2 institute
It is shown as the feux rouges I of the present embodiment recordrd(t)；Fig. 3 is the infrared light I of the present embodiment recordir(t), wherein shown in Fig. 2 and Fig. 3
Light intensity signal present cyclically-varying, this is because blood vessel blood volume with diastole and shrink and cause to light absorption
Difference caused by.
S2, the linear regression model (LRM) that pulse blood oxygen signal characteristic value is established according to intensity signal；
It is further used as the preferred embodiment of step S2, it is described that pulse blood oxygen signal characteristic value is established according to intensity signal
Linear regression model (LRM) the step for, comprising the following steps:
S21, intermediate variable is calculated according to discrete intensity signal digital signal；
The present embodiment considers Ird(n) and Iir(n) it is discrete digital signal, then it is intermediate that difference form calculating can be used
Variable x (n)=Ird(n)(Iir(n)-IirAnd y (n)=I (n-1))rd(n)(Iir(n)-Iir(n-1)), in order to write convenience, again
It is denoted as xnAnd yn, and be X=[x the form that the value of all moment points is write as vector1,x2,…,xn] and Y=[y1,y2,…,yn]。
S22, equation of linear regression is established according to intermediate variable；
For the present embodiment using X as independent variable, Y is dependent variable, it is assumed that equation of linear regression Y=b1+b2X, wherein b1And b2For
Undetermined parameter.
S23, linear fit is carried out using least square method, the parameter of equation of linear regression is calculated；
The present embodiment carries out linear fit to data using least square method, calculates to obtain parameter b1And b2:
Wherein, E (*) is mean value, and pulse blood oxygen signal characteristic value R is parameter b2。
The parameter that S24, basis are calculated, establishes the linear regression model (LRM) of pulse blood oxygen signal characteristic value.
Specifically, the intermediate variable that the present embodiment calculates is respectively:WithIts
In,It is Ird(t) differential,It is Iir(t) differential.In view of in actual hardware system, intensity signal can be through
The digital signal that analog-to-digital conversion becomes discrete is crossed, the present invention vector X, Y respectively indicate the intermediate of n moment point (discrete point) and become
Duration set, i.e. X=[x1,x2,…,xn], Y=[y1,y2,…,yn].In addition, pulse blood oxygen signal characteristic valueIf defining intermediate variableWithThen there is y=Rx.In order to ask
Pulse blood oxygen signal characteristic value is solved, the present invention makes full use of acquired intensity signal, becomes using linear regression theory to centre
It measures x and y and carries out data fitting, and calculate the confidence level of linear regression straight line according to variance analysis method.According to as shown in Figure 4
FormulaThe intermediate variable x of calculating (is being represented in Fig. 4 as X), as shown in Figure 5 for according to formulaThe intermediate variable y (Y is expressed as in Fig. 5) of calculating.Then, then using x as abscissa, y is ordinate picture
Scatter plot of data is as shown in Figure 6 out.Present embodiment assumes that equation of linear regression is y=b1+b2X is carried out according to criterion of least squares
Data are fitted to obtain b1=0.01, b2=0.55, pulse blood oxygen signal characteristic value R are the slope b of regression equation2。
S3, the confidence level for calculating linear regression straight line in linear regression model (LRM)；
It is further used as the preferred embodiment of step S3, linear regression straight line sets in the calculating linear regression model (LRM)
The step for reliability, comprising the following steps:
S31, pass through linear regression model (LRM), calculate total sum of sguares of deviation from mean；
S32, pass through linear regression model (LRM), calculating residual sum of squares (RSS)；
S33, according to total sum of sguares of deviation from mean and residual sum of squares (RSS), calculate regression sum of square；
S34, according to regression sum of square and total sum of sguares of deviation from mean, calculate the confidence level of linear regression straight line.
The present embodiment calculates the confidence level C of linear regression straight line as the amount for measuring fit quality using variance analysis method
Degree.Concrete methods of realizing is as follows: introducing regression equation Y=b1+b2X estimates the average level of Y corresponding with X value, i.e. Y represents
Actual measured value.
Firstly, calculating total sum of sguares of deviation from mean of dependent variable YDependent variable Y is reflected with this
Total amount of variability.
Then, the residual sum of squares (RSS) of dependent variable Y is calculatedReflected with this is worth difference to be led by X
It causesDifference caused by make a variation, whereinRepresentative passes through regression equationThe regressand value being calculated.
Then, the regression sum of square of dependent variable Y is calculated, regression sum of square is total sum of sguares of deviation from mean and residual sum of squares (RSS)
Difference, i.e. SSE=SST-SSR.
Finally, calculating confidence level coefficient, the confidence level coefficient C is between regression sum of square and total sum of sguares of deviation from mean
Ratio, i.e. C=1-SSE/SST.Confidence level coefficient C value between zero and one, indicates the actual effect of regression analysis, and then reflect
The confidence level of pulse blood oxygen signal characteristic value R based on linear regression model (LRM) illustrates that result is more reliable closer to 1.
S4, the confidence level according to linear regression straight line, obtain the confidence level of oxygen saturation measurement result.
It is further used as preferred embodiment, the confidence level according to linear regression straight line obtains blood oxygen saturation
The step for confidence level of measurement result, specifically:
Judge whether the confidence level of linear regression straight line is greater than preset threshold value, if so, determining the survey of blood oxygen saturation
Measure credible result；It is on the contrary, it is determined that the measurement result of blood oxygen saturation is insincere.
The present embodiment is that confidence level coefficient C presets a threshold value, thinks that regression analysis is believable, sheet more than the threshold value
The confidence threshold value of embodiment takes 0.95.
It is illustrated in figure 7 the pulse blood oxygen signal characteristic value R that the present embodiment is calculated according to linear regression theory；Such as Fig. 8 institute
It is shown as the confidence level C that the present embodiment calculates linear regression straight line using variance analysis method, passes through Fig. 7 and pulse shown in Fig. 8
For the changing rule of blood oxygen signal characteristic value R and confidence level C as it can be seen that when data volume is less, the value of R and C are violent at any time
Variation.As time went on, increase for the data of fitting, the value of R and C gradually restrain, and tend towards stability, as shown in figure 8, about
After 0.4s, C converges on 0.95 or more, meets preset threshold, it is believed that corresponding R value is believable.
Corresponding with the method for Fig. 1, the embodiment of the invention also provides a kind of calculating of oxygen saturation measurement confidence level
System, comprising:
Logging modle, for recording intensity signal by photoplethysmographic graphical method, the intensity signal includes red
Light, infrared transmission luminous intensity and infrared light reflection luminous intensity；
Model construction module, for establishing the linear regression model (LRM) of pulse blood oxygen signal characteristic value according to intensity signal；
Computing module, for calculating the confidence level of linear regression straight line in linear regression model (LRM)；
Judgment module obtains the confidence level of oxygen saturation measurement result for the confidence level according to linear regression straight line.
It is further used as preferred embodiment, the logging modle includes:
Module is obtained, for obtaining intensity signal analog signal by photoplethysmographic graphical method；
Conversion module, for converting intensity signal digital signal for intensity signal analog signal；
Wherein, the intensity signal analog signal is continuous signal, and the intensity signal digital signal is discrete letter
Number.
It is further used as preferred embodiment, the computing module includes:
First computing unit, for calculating total sum of sguares of deviation from mean by linear regression model (LRM)；
Second computing unit, for calculating residual sum of squares (RSS) by linear regression model (LRM)；
Third computing unit, for calculating regression sum of square according to total sum of sguares of deviation from mean and residual sum of squares (RSS)；
4th computing unit, for calculating linear regression straight line according to regression sum of square and total sum of sguares of deviation from mean
Confidence level.
Corresponding with the method for Fig. 1, the embodiment of the invention also provides a kind of calculating of oxygen saturation measurement confidence level
System, comprising:
At least one processor；
At least one processor, for storing at least one program；
When at least one described program is executed by least one described processor, so that at least one described processor is realized
The calculation method of the oxygen saturation measurement confidence level.
Suitable for this system embodiment, this system embodiment is implemented content in above method embodiment
Function is identical as above method embodiment, and the beneficial effect reached and above method embodiment beneficial effect achieved
It is identical.
In addition, the embodiment of the invention also provides a kind of storage mediums, wherein being stored with the executable instruction of processor, institute
The executable instruction of processor is stated when executed by the processor for executing the calculating of the oxygen saturation measurement confidence level
Method.
In conclusion the present invention extracts pulse blood oxygen signal characteristic value R's in the method being fitted using linear regression curves
In the process, it proposes using the confidence level coefficient C based on variance analysis theory as the measurement for measuring fit quality.Confidence level coefficient mentions
The actual effect of regression analysis is shown, to reflect the credible of the pulse blood oxygen signal characteristic value R based on linear regression model (LRM)
Degree.Thus, the case where missing inspection caused by being influenced the invention avoids disturbing factors such as motion artifact and noises and erroneous detection.Cause
This has evaluated the confidence level of the secondary detection by using method of the invention while calculating pulse blood oxygen signal characteristic value,
Substantially increase the accuracy of measurement.
It is to be illustrated to preferable implementation of the invention, but the present invention is not limited to the embodiment above, it is ripe
Various equivalent deformation or replacement can also be made on the premise of without prejudice to spirit of the invention by knowing those skilled in the art, this
Equivalent deformation or replacement are all included in the scope defined by the claims of the present application a bit.
Claims (10)
1. the calculation method of oxygen saturation measurement confidence level, it is characterised in that: the following steps are included:
Intensity signal is recorded by photoplethysmographic graphical method, the intensity signal includes feux rouges, infrared transmission light intensity
Degree and infrared light reflection luminous intensity；
The linear regression model (LRM) of pulse blood oxygen signal characteristic value is established according to intensity signal；
Calculate the confidence level of linear regression straight line in linear regression model (LRM)；
According to the confidence level of linear regression straight line, the confidence level of oxygen saturation measurement result is obtained.
2. the calculation method of oxygen saturation measurement confidence level according to claim 1, it is characterised in that: described to pass through light
Power Capacity pulse tracing records the step for intensity signal, comprising the following steps:
By photoplethysmographic graphical method, intensity signal analog signal is obtained；
Intensity signal digital signal is converted by intensity signal analog signal；
Wherein, the intensity signal analog signal is continuous signal, and the intensity signal digital signal is discrete signal.
3. the calculation method of oxygen saturation measurement confidence level according to claim 2, it is characterised in that: described according to light
The step for strong information establishes the linear regression model (LRM) of pulse blood oxygen signal characteristic value, comprising the following steps:
Intermediate variable is calculated according to discrete intensity signal digital signal；
Equation of linear regression is established according to intermediate variable；
Linear fit is carried out using least square method, the parameter of equation of linear regression is calculated；
According to the parameter being calculated, the linear regression model (LRM) of pulse blood oxygen signal characteristic value is established.
4. the calculation method of oxygen saturation measurement confidence level according to claim 1, it is characterised in that: the calculating line
In property regression model the step for the confidence level of linear regression straight line, comprising the following steps:
By linear regression model (LRM), total sum of sguares of deviation from mean is calculated；
By linear regression model (LRM), residual sum of squares (RSS) is calculated；
According to total sum of sguares of deviation from mean and residual sum of squares (RSS), regression sum of square is calculated；
According to regression sum of square and total sum of sguares of deviation from mean, the confidence level of linear regression straight line is calculated.
5. the calculation method of oxygen saturation measurement confidence level according to claim 1, it is characterised in that: described according to line
The confidence level of property regression straight line, the step for obtaining the confidence level of oxygen saturation measurement result, specifically:
Judge whether the confidence level of linear regression straight line is greater than preset threshold value, if so, determining the measurement knot of blood oxygen saturation
Fruit is credible；It is on the contrary, it is determined that the measurement result of blood oxygen saturation is insincere.
6. the computing system of oxygen saturation measurement confidence level, it is characterised in that: include:
Logging modle, for recording intensity signal by photoplethysmographic graphical method, the intensity signal includes feux rouges, red
Outer light transmission luminous intensity and infrared light reflection luminous intensity；
Model construction module, for establishing the linear regression model (LRM) of pulse blood oxygen signal characteristic value according to intensity signal；
Computing module, for calculating the confidence level of linear regression straight line in linear regression model (LRM)；
Judgment module obtains the confidence level of oxygen saturation measurement result for the confidence level according to linear regression straight line.
7. the computing system of oxygen saturation measurement confidence level according to claim 6, it is characterised in that: the record mould
Block includes:
Module is obtained, for obtaining intensity signal analog signal by photoplethysmographic graphical method；
Conversion module, for converting intensity signal digital signal for intensity signal analog signal；
Wherein, the intensity signal analog signal is continuous signal, and the intensity signal digital signal is discrete signal.
8. the computing system of oxygen saturation measurement confidence level according to claim 6, it is characterised in that: the calculating mould
Block includes:
First computing unit, for calculating total sum of sguares of deviation from mean by linear regression model (LRM)；
Second computing unit, for calculating residual sum of squares (RSS) by linear regression model (LRM)；
Third computing unit, for calculating regression sum of square according to total sum of sguares of deviation from mean and residual sum of squares (RSS)；
4th computing unit, for calculating the confidence of linear regression straight line according to regression sum of square and total sum of sguares of deviation from mean
Degree.
9. the computing system of oxygen saturation measurement confidence level, it is characterised in that: include:
At least one processor；
At least one processor, for storing at least one program；
When at least one described program is executed by least one described processor, so that at least one described processor is realized as weighed
Benefit requires the calculation method of oxygen saturation measurement confidence level described in any one of 1-5.
10. a kind of storage medium, wherein being stored with the executable instruction of processor, it is characterised in that: the processor is executable
Instruction be used to execute oxygen saturation measurement confidence level according to any one of claims 1 to 5 when executed by the processor
Calculation method.
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Cited By (5)
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| WO2020114191A1 (en) * | 2018-12-05 | 2020-06-11 | 深圳技术大学 | Blood oxygen saturation measurement confidence calculation method, system, and storage medium |
| CN112545461A (en) * | 2020-12-05 | 2021-03-26 | 深圳市美的连医疗电子股份有限公司 | Method, device and system for detecting non-invasive hemoglobin concentration value and computer readable storage medium |
| CN113967015A (en) * | 2020-07-22 | 2022-01-25 | Oppo广东移动通信有限公司 | Blood oxygen detection method and device and computer readable storage medium |
| CN114007501A (en) * | 2019-06-25 | 2022-02-01 | 兴和株式会社 | Blood component measurement system, blood component measurement method, and blood component measurement program |
| CN117370769A (en) * | 2023-12-08 | 2024-01-09 | 深圳市光速时代科技有限公司 | Intelligent wearable device data processing method suitable for sleep environment |
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