CN101797156A - Decision method of respiratory wave of human body respiration monitoring system - Google Patents
Decision method of respiratory wave of human body respiration monitoring system Download PDFInfo
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Abstract
The invention relates to a decision method of the respiratory wave of a human body respiration monitoring system. A respiration sensor and a respiration monitoring instrument convert a collected simulated respiration signal into a respiration digital signal, and respiration analysis software analyzes the respiration digital signal to form effective and clear respiratory wave data. The method comprises the following steps: reading respiratory wave shape data; obtaining a wave shape baseline; building respiratory wave of which the wave shape baseline is horizontal; setting a positive wave shape wave crest threshold value and a negative wave shape wave crest threshold value; and building the respiration analysis wave of the positive wave crest threshold value and the negative wave crest threshold value. The contribution of the invention to the prior art is as follows: the method extracts the wave shape which does not contain high-frequency noise wave mixed above the respiratory wave by adjusting respiratory wave amplitude; the baseline drift of the respiratory wave can be effectively inhibited with an extraction low-frequency drift method, and accurate and effective sampling the respiratory wave can be realized. The invention can clearly show the analysis wave shape of the respiratory wave to doctors so as to improve patient analysis and diagnosis precision rate.
Description
Technical field
The present invention relates to the decision method of human body respiration ripple, be particularly related to and a kind ofly monitor the state of human body respiratory wave, adjust the decision method that the respiratory wave threshold value is searched a kind of respiratory wave of human body respiration monitoring system of respiratory wave in real time, this method adopts the method for extracting low frequency wonder effectively to suppress the baseline drift of respiratory wave, the bound dynamic threshold is adjusted in change according to breathing state in real time, thereby effectively raise the discrimination of respiratory wave, improved the accuracy that respiration case is judged.
Background technology
At present when doing human body breathing inspection, instrument can be sampled to human body respiration, because various uncertain factors, respiratory waveform in sampling is mixing many high-frequency signal waveforms on the summit up and down, simultaneously because people's body gesture or respiration probes position mobile causes the change of breathing wave amplitude integral body big or diminish or the wave amplitude baseline drifts about up and down and causes sampling unstable, these problems have caused puzzlement to diagnosis, how will be the problems that we will solve in face of the stabilizing effective doctor of being presented in of the respiratory waveform of being gathered therefore.
Summary of the invention
The decision method that the purpose of this invention is to provide a kind of respiratory wave of human body respiration monitoring system, this method is eliminated miscellaneous high frequency clutter above the respiratory wave by the adjustment to the respiratory wave amplitude, adopt the method for extracting low frequency wonder effectively to suppress the baseline drift of respiratory wave, thereby effectively raise the discrimination of respiratory wave, revise respiratory waveform, improved stability and accuracy that respiration case is judged.
The technical solution used in the present invention is: a kind of decision method of respiratory wave of human body respiration monitoring system, and the step that this method comprises has:
A. read the respiratory waveform data; At first read the breath data of a time period by respiration pickup, described breath data is to pass the breath data read continuously with the unit interval, the breath data passing in time formation respiratory waveform that fluctuates up and down;
B. obtain the waveform baseline; The waveform that data smoothing on waveform baseline top connects into is the positive waveform of respiratory wave, and the waveform that the data smoothing in waveform baseline bottom connects into is the respiratory wave negative wave;
C. set up the respiratory wave that the waveform baseline is level; It sets up process is the data that positive waveform corresponding point data and below negative wave corresponding point data with the waveform baseline of same time point top deduct waveform baseline corresponding point, form new respiratory waveform data, the new Wave data of each time point connected, formed the respiratory wave that a waveform baseline is level;
D., positive waveform crest threshold value and negative wave crest threshold value are set;
E. establish the breast rail ripple of positive negative peak threshold line; It sets up process be the respiratory waveform data with positive negative peak threshold ratio, the waveform of forming greater than positive waveform crest threshold data is positive waveform crest above positive crest threshold point, the below that is lower than the waveform negative peak threshold value of negative wave crest threshold data composition is the negative wave crest, is formed with the breast rail ripple of positive negative peak threshold line.
The described time period is that human body enters sleep until the time of reviving.
The described waveform baseline that obtains is: the intermediate point of the maximum amplitude of the data that will upwards fluctuate or fluctuate is downwards done the waveform that line forms.
The described waveform baseline that obtains is: get identical time span in the respiratory wave data that obtained, set the window that comprises the complete waveform data continuously, the summation of the respiratory wave data in the window is averaged, be connected to form waveform by meansigma methods.
The positive and negative waveform crest of described setting threshold value is: at first set an effective respiratory wave decision threshold of minimum, when breathing crest less than the effective respiratory wave decision threshold of minimum, assert that this respiratory wave is invalid; Set initial positive and negative waveform crest threshold value then, from initial ripple, order is extracted the positive and negative shape wave datum of respiratory wave of 5 to 10 continuous effective, gets the meansigma methods of contained positive and negative shape ripple peak-peak, average 70% to 80% as the positive and negative waveform crest of primary wave threshold value; Positive and negative waveform that begins from initial ripple and crest threshold ratio are; Divide following two kinds of situation continued setting thresholds:
F, when the peak value of the positive and negative waveform that is compared during less than current crest threshold value, from setting new positive and negative waveform crest threshold value according to the method described above less than the positive and negative waveform of crest threshold value, from less than the positive and negative waveform of current crest threshold value and new crest threshold ratio;
G, when the positive and negative waveform that is compared has 4 to 9 positive and negative waveform peak continuously greater than current crest threshold value, set new positive and negative waveform crest threshold value according to the method described above from the positive and negative waveform of the next one, from the positive and negative waveform of the described next one and new crest threshold ratio;
Repeating step f and step g form a dynamic positive and negative waveform crest threshold value wavy line.
The positive and negative waveform crest of described setting threshold value is: at first set an effective respiratory wave decision threshold of minimum, when breathing crest less than the effective respiratory wave decision threshold of minimum, assert that this respiratory wave is invalid; Set initial positive and negative waveform crest threshold value then: the positive waveform mean wave peak value T that obtains 3 to 5 effective positive and negative waveform crest values
+With negative wave mean wave peak value T
-, obtain the summit of above-mentioned 3 to 5 positive last crest of waveform crest value and the time span D between the next positive waveform crest summit
+, the summit of last crest of negative wave crest value and the time span D between the next negative wave crest summit
-, by formula T1=(T
+* (10-D
+)/10) * 1/2 obtain positive waveform crest threshold value, by formula T2=(T
-* (10-D
-)/10) * 1/2 obtain negative wave crest threshold value, divide following two kinds of situation continued setting thresholds:
H, when the peak value of the positive and negative waveform that is compared during less than current crest threshold value, from setting new positive and negative waveform crest threshold value according to the method described above less than the positive and negative waveform of crest threshold value, from less than the positive and negative waveform of current crest threshold value and new crest threshold ratio;
I, when the positive and negative waveform that is compared has 4 to 6 positive and negative waveform peak greater than current crest threshold value continuously, set new positive and negative waveform crest threshold value according to the method described above from the positive and negative waveform of the next one, from the positive and negative waveform of the described next one and new crest threshold ratio;
Repeating step h and step I form a dynamic positive and negative waveform crest threshold value wavy line.
The present invention to the contribution of prior art is:
1. this method adopts the method for extracting low frequency wonder effectively to suppress the baseline drift of respiratory wave by the adjustment of respiratory wave amplitude having been extracted the waveform that does not contain miscellaneous high frequency clutter above the respiratory wave, has realized the sampling of respiratory wave accurate and effective.
2. can gem-pure analysis waveform be presented in face of the doctor, improved analysis, diagnosis precision rate patient with respiratory wave.
Below in conjunction with drawings and Examples the present invention is done further detailed description.
Description of drawings
Fig. 1 breathes the sampling system sketch map for the present invention;
Fig. 2 is a decision method flow chart of steps of the present invention;
Fig. 3 breathes the respiratory waveform figure that sampled data is formed for the present invention;
Fig. 4 is the breathing sample waveform figure that line forms the waveform baseline for the present invention with the maximum amplitude intermediate point;
Fig. 5 is the breathing sample waveform figure that averages and be connected to form the waveform baseline with continuous setting window respiratory wave data summation;
Fig. 6 has formed a waveform baseline for passing breathing sample waveform figure in horizontal direction in time after eliminating baseline drift;
The breast rail oscillogram of Fig. 7 positive negative peak threshold line for the present invention has.
The specific embodiment
Embodiment 1:
Present embodiment describes a kind of decision method of respiratory wave of human body respiration monitoring system in detail, referring to Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5, Fig. 6 and Fig. 7;
Referring to Fig. 1, human body respiration monitoring system includes respiration pickup 2 and respiration monitoring control instrument 3, the breathing of human body 1 is delivered to the respiration monitoring control instrument by respiration pickup, the A/D sampling 3-1 of respiration monitoring control instrument is the breathing digital signal with the simulated respiration conversion of signals that collects, analysis software 3-2 analyzes breathing digital signal, analysis result storage 3-3 is put in formation respiratory waveform data effectively clearly, and analysis result shows that 3-4 shows waveform.
Referring to Fig. 2, the step that concrete analytical method comprises has:
A. read the respiratory waveform data; Its process is at first to read the breath data of a time period by respiration pickup, and described breath data is to pass the breath data read continuously with the unit interval, and referring to Fig. 3, breath data is passing, the f value of the t formation respiratory waveform 4 that fluctuates up and down in time;
B. obtain waveform baseline X; Referring to Fig. 4 and Fig. 5, the waveform that the data smoothing on waveform baseline X top connects into is the positive waveform 4-1 of respiratory wave, and the waveform that the data smoothing in waveform baseline X bottom connects into is respiratory wave negative wave 4-2;
C. the respiratory wave conversion is formed the respiratory wave that the waveform baseline is level; Its process is with the positive waveform corresponding point data of the waveform baseline X top of same time point and the data that below negative wave corresponding point data deduct waveform baseline X corresponding point, form new respiratory waveform data, the new Wave data of each time point is connected, referring to Fig. 6, formed the respiratory wave (horizontal waveform baseline X overlaps with time shaft t) that a waveform baseline X is level; This step has been eliminated drift about the up and down respiratory wave that produces of the mobile wave amplitude baseline that causes owing to people's body gesture or respiration probes position and has been broken away from the distortion of horizontal base line, has realized that respiratory wave analyzes the unanimity of basic point;
D., positive waveform crest threshold value F1 and negative wave crest threshold value F2 are set, referring to Fig. 7;
E. establish the breast rail ripple of positive negative peak threshold line; Referring to Fig. 7, the process of setting up is: respiratory waveform data and positive negative peak threshold ratio are, the waveform of forming greater than positive waveform crest threshold data is positive waveform crest 4-3 above positive crest threshold point, the below that is lower than the waveform negative peak threshold value of negative wave crest threshold data composition is negative wave crest 4-4, be formed with the breast rail ripple of positive negative peak threshold line, as can be seen from Figure 7, there are many high frequency waves in the crest, method by positive negative peak threshold line can be isolated away crest, has improved effectiveness and the accuracy of analyzing ripple.
In the method, the described time period is that human body enters sleep until the time of reviving; It can certainly be any time section that the doctor need analyze the human body breath state.For example entering time period before sleeping or the like.
Embodiment 2:
Present embodiment is to adopt the intermediate point line of maximum amplitude to realize waveform baseline embodiment in the decision method of respiratory wave of human body respiration monitoring system, referring to Fig. 4 and embodiment 1;
In described method, the described waveform baseline X that obtains is: the intermediate point 4-5 of the maximum amplitude of the data that will upwards fluctuate or fluctuate downwards does the waveform that line forms.
Embodiment 3:
Present embodiment is to adopt the method for window average to realize waveform baseline embodiment in the decision method of respiratory wave of human body respiration monitoring system, referring to Fig. 5 and embodiment 1;
The described waveform baseline X that obtains is: get identical time span in the respiratory wave data that obtained, set the window 4-6 that comprises the complete waveform data continuously, the summation of the respiratory wave data in the window is averaged, be connected to form waveform by meansigma methods.
Owing to movable or other reason of people's health causes the respiratory wave signal to produce drift.The method that adopts the respiratory wave signal to deduct the low frequency signal that extracts from respiratory wave has effectively suppressed the baseline drift of respiratory wave.Breathe wave period at 3 to 5 seconds for general one, the respiratory wave data in 10 seconds are averaged the meansigma methods that obtains this point, deducting with the value of current point that this meansigma methods obtains then is baseline conversion this point value of (baseline journey horizontal line) afterwards, and formula is as follows:
X[n]=?
X[n] what represent is the value of respiratory wave current sampling point, this formula is to get k point of preceding k point and back of current point, comprises current point again, has 2k+1 the value of putting altogether, with this 2k+1 some summation.
This is the result who only 2k+1 point is sued for peace, and the result is again divided by 2k+1, and what calculate like this is exactly the meansigma methods of 2k+1 point.
Formula is resulting to be exactly the baseline value of former respiratory wave, what react is low frequency signal, and low frequency signal actual be the drift that has reflected respiratory wave, with respiratory wave signal X[n] deduct the waveform that the pairing point of low frequency signal forms, also just obtained the respiratory waveform of anti-baseline drift.
Generally our 2k+1 sampled point getting point about 10 seconds just is 200 points of per second according to the respiratory wave sample rate, and k just gets 1000 so.
Embodiment 4:
Present embodiment is to adjust bound dynamic threshold embodiment in real time according to the change of breathing state in the decision method of respiratory wave of human body respiration monitoring system, referring to embodiment 1 and Fig. 7;
The positive and negative waveform crest of described setting threshold value is:
At first set an effective respiratory wave decision threshold of minimum, this threshold value can be 10% to 30% of a respiratory wave maximum amplitude, is the proportional numerical value of everybody approval, when breathing crest less than the effective respiratory wave decision threshold of minimum, assert that this respiratory wave is invalid;
Set initial positive and negative waveform crest threshold value: from initial ripple, order is extracted the positive and negative shape wave datum of respiratory wave of 5 to 10 continuous effective, get the meansigma methods of contained positive and negative shape ripple peak-peak, average 70% to 80% as the positive and negative waveform crest of primary wave threshold value, positive and negative waveform that begins from initial ripple and crest threshold ratio are; Divide following two kinds of situation continued setting thresholds:
F, when the peak value of the positive and negative waveform that is compared during less than current crest threshold value, from setting new positive and negative waveform crest threshold value according to the method described above less than the positive and negative waveform of crest threshold value, from less than the positive and negative waveform of current crest threshold value and new crest threshold ratio;
G, when the positive and negative waveform that is compared has 4 to 9 positive and negative waveform peak continuously greater than current crest threshold value (have continuously 4 to 9 be meant lack one) than 5 to 10 continuous waves that extract, set new positive and negative waveform crest threshold value according to the method described above from the positive and negative waveform of the next one, from the positive and negative waveform of the described next one and new crest threshold ratio;
Repeating step f and step g form a dynamic positive and negative waveform crest threshold value wavy line.
Embodiment 5:
Present embodiment is the another kind of method to set up embodiment of positive and negative waveform crest threshold value in the decision method of respiratory wave of human body respiration monitoring system, referring to embodiment 1 and Fig. 7;
The positive and negative waveform crest of described setting threshold value is:
At first set an effective respiratory wave decision threshold of minimum, this threshold value can be 10% to 30% of a respiratory wave maximum amplitude, is the proportional numerical value of everybody approval, when breathing crest less than the effective respiratory wave decision threshold of minimum, assert that this respiratory wave is invalid;
Set initial positive and negative waveform crest threshold value: the positive waveform mean wave peak F of obtaining 3 to 5 effective positive and negative waveform crest values
+With negative wave mean wave peak F
-, obtain the summit of above-mentioned 3 to 5 positive last crest of waveform crest value and the time span D between the next positive waveform crest summit
+, the summit of last crest of negative wave crest value and the time span D between the next negative wave crest summit
-, by formula F 1=(F
+* (10-D
+)/10) * 1/2 obtain positive waveform crest threshold value, by formula F 2=(F
-* (10-D
-)/10) * 1/2 obtain negative wave crest threshold value, divide following two kinds of situation continued setting thresholds:
H, when the peak value of the positive and negative waveform that is compared during less than current crest threshold value, from setting new positive and negative waveform crest threshold value according to the method described above less than the positive and negative waveform of crest threshold value, from less than the positive and negative waveform of current crest threshold value and new crest threshold ratio;
I, when the positive and negative waveform that is compared has 4 to 6 positive and negative waveform peak greater than current crest threshold value continuously (have continuously 4 to 6 be meant Duo one) than 3 to 5 continuous waves that extract, set new positive and negative waveform crest threshold value according to the method described above from the positive and negative waveform of the next one, from the positive and negative waveform of the described next one and new crest threshold ratio;
Repeating step h and step I form a dynamic positive and negative waveform crest threshold value wavy line.
Numeral 10 representative in the formula be 10 seconds of time because people's respiratory frequency is 10 seconds 3-5 time usually.
The comparison that relatively refers to absolute value of the positive and negative waveform values described in the foregoing description.
Claims (6)
1. the decision method of a respiratory wave of human body respiration monitoring system is characterized in that, the step that this method comprises has:
A. read the respiratory waveform data; At first read the breath data of a time period by respiration pickup, described breath data is to pass the breath data read continuously with the unit interval, the breath data passing in time formation respiratory waveform that fluctuates up and down;
B. obtain the waveform baseline; The waveform that data smoothing on waveform baseline top connects into is the positive waveform of respiratory wave, and the waveform that the data smoothing in waveform baseline bottom connects into is the respiratory wave negative wave;
C. set up the respiratory wave that the waveform baseline is level; The data that the positive waveform corresponding point data and the below negative wave corresponding point data of the waveform baseline of same time point top are deducted waveform baseline corresponding point, form new respiratory waveform data, the new Wave data of each time point connected, formed the respiratory wave that a waveform baseline is level;
D., positive waveform crest threshold value and negative wave crest threshold value are set;
E. establish the breast rail ripple of positive negative peak threshold line; Respiratory waveform data and positive negative peak threshold ratio are, the waveform of forming greater than positive waveform crest threshold data is positive waveform crest above positive crest threshold point, the below that is lower than the waveform negative peak threshold value of negative wave crest threshold data composition is the negative wave crest, is formed with the breast rail ripple of positive negative peak threshold line.
2. the decision method of a kind of respiratory wave of human body respiration monitoring system according to claim 1 is characterized in that, the described time period is that human body enters sleep until the time of reviving.
3. the decision method of a kind of respiratory wave of human body respiration monitoring system according to claim 1 is characterized in that, the described waveform baseline that obtains is: the intermediate point of the maximum amplitude of the data that will upwards fluctuate or fluctuate is downwards done the waveform that line forms.
4. the decision method of a kind of respiratory wave of human body respiration monitoring system according to claim 1, it is characterized in that, the described waveform baseline that obtains is: get identical time span in the respiratory wave data that obtained, set the window that comprises the complete waveform data continuously, the summation of respiratory wave data in the window is averaged, be connected to form waveform by meansigma methods.
5. the decision method of a kind of respiratory wave of human body respiration monitoring system according to claim 1, it is characterized in that, the positive and negative waveform crest of described setting threshold value is: at first set an effective respiratory wave decision threshold of minimum, when breathing crest, assert that this respiratory wave is invalid less than the effective respiratory wave decision threshold of minimum; Set initial positive and negative waveform crest threshold value, from initial ripple, order is extracted the positive and negative shape wave datum of respiratory wave of 5 to 10 continuous effective, get the meansigma methods of contained positive and negative shape ripple peak-peak, average 70% to 80% as the positive and negative waveform crest of primary wave threshold value, positive and negative waveform that begins from initial ripple and crest threshold ratio are; Divide following two kinds of situation continued setting thresholds:
F, when the peak value of the positive and negative waveform that is compared during less than current crest threshold value, from setting new positive and negative waveform crest threshold value according to the method described above less than the positive and negative waveform of crest threshold value, from less than the positive and negative waveform of current crest threshold value and new crest threshold ratio;
G, when the positive and negative waveform that is compared has 4 to 9 positive and negative waveform peak continuously greater than current crest threshold value, set new positive and negative waveform crest threshold value according to the method described above from the positive and negative waveform of the next one, from the positive and negative waveform of the described next one and new crest threshold ratio;
Repeating step f and step g form a dynamic positive and negative waveform crest threshold value wavy line.
6. the decision method of a kind of respiratory wave of human body respiration monitoring system according to claim 1, it is characterized in that, the positive and negative waveform crest of described setting threshold value is: at first set an effective respiratory wave decision threshold of minimum, when breathing crest, assert that this respiratory wave is invalid less than the effective respiratory wave decision threshold of minimum; Set initial positive and negative waveform crest threshold value: the positive waveform mean wave peak value T that obtains 3 to 5 effective positive and negative waveform crest values
+With negative wave mean wave peak value T
-, obtain the summit of above-mentioned 3 to 5 positive last crest of waveform crest value and the time span D between the next positive waveform crest summit
+, the summit of last crest of negative wave crest value and the time span D between the next negative wave crest summit
-, by formula T1=(T
+* (10-D
+)/10) * 1/2 obtain positive waveform crest threshold value, by formula T2=(T
-* (10-D
-)/10) * 1/2 obtain negative wave crest threshold value, divide following two kinds of situation continued setting thresholds:
H, when the peak value of the positive and negative waveform that is compared during less than current crest threshold value, from setting new positive and negative waveform crest threshold value according to the method described above less than the positive and negative waveform of crest threshold value, from less than the positive and negative waveform of current crest threshold value and new crest threshold ratio;
I, when the positive and negative waveform that is compared has 4 to 6 positive and negative waveform peak greater than current crest threshold value continuously, set new positive and negative waveform crest threshold value according to the method described above from the positive and negative waveform of the next one, from the positive and negative waveform of the described next one and new crest threshold ratio;
Repeating step h and step I form a dynamic positive and negative waveform crest threshold value wavy line.
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