CN104014076B - A kind of analgesia Wave form detector and method thereof - Google Patents
A kind of analgesia Wave form detector and method thereof Download PDFInfo
- Publication number
- CN104014076B CN104014076B CN201410160077.5A CN201410160077A CN104014076B CN 104014076 B CN104014076 B CN 104014076B CN 201410160077 A CN201410160077 A CN 201410160077A CN 104014076 B CN104014076 B CN 104014076B
- Authority
- CN
- China
- Prior art keywords
- waveform
- wave
- analgesia
- low frequency
- frequency modulations
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Monitoring And Testing Of Transmission In General (AREA)
Abstract
The invention discloses a kind of analgesia Wave form detector, it is characterized in that: comprise waveform acquisition unit, output unit and wave simulation unit, also comprise waveform processing unit.The present invention also provides a kind of analgesia Wave form detector, according to the generative process of analgesia waveform, utilize signal simulation technology to go out desirable analgesia waveform according to contoured configuration parameters simulation on the one hand, utilize signal processing method to calculate the parameter of analgesia waveform from output waveform analysis meter on the other hand.User can observe the difference between configuration parameter and calculating parameter, between ideal waveform and actual waveform accordingly more intuitively, and then judges that whether waveform generating work is normal.Wave form detector of the present invention as the supporting self-check program of described analgesic apparatus, can facilitate user and attendant to use, greatly improves safety and the effectiveness of analgesic apparatus wave form output.
Description
Technical field
The present invention relates to analgesia field, particularly one analgesia Wave form detector and method thereof.
Background technology
Publication date is the patent of invention 201210488575.3 of 2012-11-26, discloses a kind of biological feedback type delivery physical analgesia device, has set forth the generating mode of analgesia waveform formula.This waveform has good clinical effectiveness to inhibiting pain in parturition.
This analgesia waveform is the wave group utilizing electronic devices and components and supporting Software Create to have certain rule accordingly, and in specific implementation process, due to the build-in attribute of electronic devices and components and software, the actual waveform that generates and ideal waveform have different; And electronic devices and components itself can not ensure just the same, there will be some beyond thought problems, finally cause output waveform inconsistent with expection.And the device and method also not having at present a kind of wave form output detecting this equipment whether consistent with expection, not easily discover when a failure occurs, more difficultly determine the source of failure.When such as occurring that analgesic effect is not good, be difficult to determine to be formulation challenges, or individual variation problem, or software and hardware problem.When running into this kind of problem, clinical worker is often only sought plant equipment service engineer and is offered help.And Facilities Engineer also only has and utilizes oscillograph to detect output waveform, and utilize experience to judge that whether waveform is correct.But because this analgesia waveform formula is comparatively complicated, the time is long, is checked by oscillograph, be difficult to go to judge that whether waveform is correct comprehensively, and need the personage of comparatively specialty to detect, the suitability is poor.
So, carry out detection waveform in the urgent need to a kind of special Wave form detector at present and whether consistently with expection export.On the one hand can as factory testing, plant maintenance instrument; Also as a kind of daily self-inspection instrument of clinical worker, for checkout facility wave form output whether accurately, the safety and efficacy of equipment use can be improved on the other hand.
Summary of the invention
Object of the present invention is just to solve the problem, and provide a kind of analgesia Wave form detector and method thereof, assisting users judges the accuracy of wave form output.
In order to achieve the above object, the present invention adopts following technical scheme: a kind of analgesia Wave form detector, is characterized in that: comprise waveform acquisition unit, output unit and wave simulation unit.Described waveform acquisition unit, wave simulation unit are connected with output unit respectively.
Described waveform acquisition unit is used for from analgesic apparatus collection analgesia waveform;
The configuration parameter simulation calculation that described wave simulation unit is used for according to generating described analgesia waveform goes out desirable waveform.
The analgesia waveform that described output unit collects for exporting described waveform acquisition unit, also for exporting the waveform that described wave simulation unit simulation calculation goes out.Described output unit comprises display, printer etc.
Further, the present invention also provides a kind of analgesia waveforms detection method based on described analgesia Wave form detector, it is characterized in that, comprises the following steps:
The waveform that steps A 1, collection analgesic apparatus export;
Steps A 2, according to generation step A1 the contoured configuration parameter of waveform, simulation calculation goes out desirable waveform;
The ideal waveform that steps A 3, the actual analgesia waveform exporting steps A 1 collection and steps A 2 emulate.
Further, steps A 2, it is as follows that described simulation calculation goes out desirable waveform step:
Step M1: emulation low frequency modulations ripple and carrier wave;
Step M2: the low frequency modulations ripple utilizing step M1 to emulate and carrier wave do AND operation, generates desirable output waveform.
Further, in step M1, emulation low frequency modulations ripple and carrier wave step as follows:
M1, the sample rate of low frequency modulations ripple, carrier wave is set.
M2, according to step m1 the frequency of sample rate and each combination foundation waveform, counting and the numerical value of each point of each combination foundation waveform one-period is set, then generates low frequency modulations ripple according to the number of each combination foundation waveform and sequential combination.
M3, according to step m1 sample rate f s and carry wave frequency, counting and the numerical value of each point of carrier wave one-period is set, then according to the cycle-index of the duration calculation carrier wave of low frequency modulations ripple, generates carrier wave.
Further, based on described analgesia Wave form detector, it is characterized in that, also comprise waveform processing unit.Described waveform acquisition unit is also connected with output unit through described waveform processing unit.
Described waveform processing unit is used for going out waveform configuration parameter from the actual analgesia resolve of wave shape of waveform acquisition unit collection;
Described output unit is also for exporting the contoured configuration parameter that described waveform processing element analysis calculates and the waveform parameter of actual disposition generating described analgesia waveform.
Further, the present invention also provides a kind of analgesia waveforms detection method based on described analgesia Wave form detector, it is characterized in that, comprises the following steps:
Step B1: gather the waveform that analgesic apparatus exports;
Step B2: go out waveform configuration parameter from output waveform analytical calculation;
Step B3, according to generation step B1 the contoured configuration parameter of waveform, simulation calculation goes out desirable waveform;
The ideal analgesia waveform that step B4, the actual analgesia waveform exporting step B1 collection and step B3 emulate; Export the contoured configuration parameter of step B2 calculating and the waveform parameter of actual disposition simultaneously.
Further, in step B2, go out waveform configuration parameter from output waveform analytical calculation, step is as follows:
Step X1: utilize A/D to change and the simulation of collection analgesia waveform transformation is become digital waveform, be designated as analgesia waveform S;
Step X2: pretreatment is carried out to analgesia waveform S;
Step X3: calculate carrier wave and low frequency modulations wave parameter.
Further, step X2 carries out pretreatment to analgesia waveform S, comprises the following steps:
Step X21: obtain analgesia waveform S peak-to-peak value ± V, consider actual waveform output error, arranging low and high level cut off value is k*V, 0<k<1;
Step X22: based on waveform S, what be greater than+k*V is updated to 1, is less than or equal to+k*V and is updated to 0;
Step X23: obtain waveform S rising time point, and calculate the interval of adjacent rising edges successively, be designated as time period ordered series of numbers Δ t [1,2], Δ t [2,3] ... Δ t [n-1, n]; Δ t [n-1, n] represents (n-1)th interval to the n-th rising edge.
Further, step X3 calculates carrier wave and low frequency modulations wave parameter, comprises the following steps:
Step X31: according to the minimum frequency of described analgesic apparatus carrier wave and the peak frequency of low frequency modulations ripple, chooses carrier wave and low frequency modulations separation wave period, is designated as Δ T;
Step X32: calculate carrier frequency.From time period Δ t [i-1, i] (i=2 ... n) time period being less than Δ T is chosen in, to its averaging Δ Tp, then carrier frequency f=1/ Δ Tp;
Step X33: the high level time calculating low frequency modulations ripple.That chooses from step X32 is less than the time period of Δ T, and cumulative adjacent time period postscript is the new time period.The high level time of low frequency modulations ripple be cumulative after the new time period add one and carry Δ Tp wave period;
Step X34: the low level time calculating low frequency modulations ripple.From Δ t [i-1, i] (i=2 ... n) choose the time period being greater than Δ T in, the low level time of low frequency modulations ripple is this time period and deducts one again and carry Δ Tp wave period;
Step X35: calculate low frequency modulations wave parameter.According to the high and low level time of each low frequency modulations ripple that step X33, X34 calculate, calculate the frequency of each basic waveform.After calculating the frequency of all basic waveform be linked in sequence, calculate number that the is adjacent and basic waveform of same frequency respectively, extrapolate frequency and the number of each component basic waveform of low frequency modulations ripple.
The present invention has following advantage and effect relative to prior art:
1, the invention provides a kind of means of waveforms detection of easing pain, according to the generative process of analgesia waveform, analgesia contoured configuration parameter can be demodulated, and simulate desirable analgesia waveform, user can observe the difference between configuration parameter and calculating parameter, between ideal waveform and actual waveform accordingly more intuitively, and then judges that whether waveform generating work is normal.
2, Wave form detector of the present invention as the supporting self-check program of described analgesic apparatus, can facilitate user and attendant to use, greatly improves safety and the effectiveness of described analgesic apparatus.
Accompanying drawing explanation
Fig. 1 is the internal element connection diagram of the analgesia Wave form detector of embodiment 1;
The detecting step flow chart of the analgesia Wave form detector that Fig. 2 (method: for Fig. 1) is embodiment 1;
Fig. 3 is the simulation waveform schematic diagram of the low frequency modulations ripple of embodiment 1;
Fig. 4 is the simulation waveform schematic diagram of the carrier wave of embodiment 1;
Fig. 5 is the simulation waveform schematic diagram of the one-level wave group of embodiment 1;
Fig. 6 is the internal element connection diagram of the analgesia Wave form detector of embodiment 2;
Fig. 7 is the detecting step flow chart of the analgesia Wave form detector of embodiment 2;
Fig. 8 is the analgesia waveform analysis waveform schematic diagram of embodiment 2;
Fig. 9 is the analgesia waveform analysis flow chart of steps of embodiment 2;
Detailed description of the invention
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited thereto.
The present invention is the patent of invention " biological feedback type delivery physical analgesia device " of 2012-11-26 based on publication date, provides a kind of devices and methods therefor detecting this analgesic apparatus output waveform.First quote the generative process of this patent of invention analgesia waveform: first the rise time of basic waveform (modulation trapezoidal wave), high level time, fall time and low level time are set, several basic waveform are combined into basic wave group, then the carrier frequency of basic wave group is set, generate one-level wave group after modulation, then several fist-order wave groups synthesis secondary wave group is exported.
Ultimate principle of the present invention: according to the generative process of analgesia waveform, one is utilize signal simulation technology to go out desirable analgesia waveform according to contoured configuration parameters simulation, and two is utilize signal processing method to calculate the parameter of analgesia waveform from output waveform analysis meter.After analysis meter calculates analgesia contoured configuration parameter and simulates desirable analgesia waveform, user can difference accordingly between the parameter of direct visual comparison actual disposition and the parameter calculated by analysis, between ideal waveform and actual waveform, and then judge that whether waveform generating work is normal.
It is to be noted, publication date is the carrier wave selected in patent of invention " biological feedback type delivery physical analgesia device " embodiment of 2012-11-26 is sine wave, and carrier wave selected in the embodiment of the present invention is square wave, thus in the embodiment of the present invention analogous diagram waveform and embodiment accompanying drawing waveform different.
Embodiment 1
As the 1st embodiment of the present invention, as shown in Figure 1, a kind of analgesia Wave form detector, is characterized in that: comprise waveform acquisition unit 101, output unit 102 and wave simulation unit 103.Described waveform acquisition unit 101, wave simulation unit 103 are connected with output unit 102 respectively.
Described waveform acquisition unit 101 is for the waveform that eases pain from analgesic apparatus collection;
Described wave simulation unit 103 is for going out desirable waveform according to the configuration parameter simulation calculation generating described analgesia waveform.
The analgesia waveform that described output unit 102 collects for exporting described waveform acquisition unit 101, also for exporting the waveform that described wave simulation unit 103 simulation calculation goes out.
Further, as shown in Figure 2, the present invention also provides a kind of analgesia waveforms detection method based on the Wave form detector that eases pain described in embodiment 1, it is characterized in that, comprises the following steps:
The waveform that steps A 1, collection analgesic apparatus export;
Steps A 2, according to generation step A1 the contoured configuration parameter of waveform, simulation calculation goes out desirable waveform;
The ideal waveform that steps A 3, the actual analgesia waveform exporting steps A 1 collection and steps A 2 emulate.
It should be noted that, be can find out patent of invention " biological feedback type delivery physical analgesia device " description of 2012-11-26 from publication date, the analgesia waveform (SPA wave group) finally exported is combined to form by several fist-order waves group, one-level wave group is formed after modulating the carrier wave of corresponding frequencies by low frequency modulations wave group, low frequency modulations wave group is combined to form by several basic waveform, and basic waveform is that the trapezoidal wave formed by different low and high level combines.Can find out according to above-mentioned analgesia waveform formation process, one-level wave group is the core of this analgesia waveform, it is formed by low frequency modulations ripple modulated carrier, and this modulated process is the Focal point and difficult point that whole analgesia waveform generates, and is also the important step easily occurring difference with analgesia waveform.Whether the generation that the emphasis of the present embodiment detects one-level wave group by described " Wave form detector " is exactly normal, and then assists to judge that whether analgesic apparatus is working properly.
In the present embodiment, according to analgesic apparatus waveform generative process, generate one section of one-level wave group (as low frequency modulations wave group: 2 (20Hz)+5 (100Hz)+3 (50Hz)+2 (25Hz), carrier wave: square wave, frequency=1000Hz, above-mentioned method for expressing is patent of invention " biological feedback type delivery physical analgesia device " description 0088 section of related description of 2012-11-26 see publication date), whether by detecting described one-level wave group, to detect the output of analgesic apparatus correct.
In the present embodiment, with low frequency modulations ripple: 2 (20Hz)+5 (100Hz)+3 (50Hz)+2 (25Hz) carrier wave: square wave, frequency=1KHz is example, and simulation process is as follows:
Step M1: emulation low frequency modulations ripple and carrier wave;
Step M2: the low frequency modulations ripple utilizing step M1 to emulate and carrier wave do AND operation, generates desirable output waveform.
In step M1, emulation low frequency modulations ripple and carrier wave step as follows:
M1, the sample rate f s of low frequency modulations ripple, carrier wave is set.
For the present embodiment, fs=5000.
M2, according to step m1 the frequency of sample rate f s and each combination foundation waveform, counting and the numerical value of each point of each combination foundation waveform one-period is set, then generates low frequency modulations ripple according to the number of each combination foundation waveform and sequential combination.
For the present embodiment, low frequency modulations ripple is combined by (n1=2) basic waveform 1, (n2=5) basic waveform 2, (n3=3) basic waveform 3, (n4=2) basic waveform 4, wherein, basic waveform 1 frequency f 1=20Hz, low level time is 25ms, the rise time is 0, high level time is 25ms, fall time is 0; Basic waveform 2 frequency f 2=100Hz, low level time are 5ms, the rise time is 0, high level time is 5ms, fall time is 0; Basic waveform 3 frequency f 3=50Hz, low level time are 10ms, the rise time is 0, high level time is 10ms, fall time is 0; Basic waveform 4 frequency f 4=25Hz, low level time is 20ms, the rise time is 0, high level time is 20ms, fall time is 0.
Then: the sampling number of the one-period T of basic waveform 1 is fs/f1=5000/20=250, it is 125 that its low level is counted, rising is counted is 0, high level is counted is 125, decline is counted is 0; The sampling number of the one-period T of basic waveform 2 is fs/f1=5000/100=50, and it is 25 that its low level is counted, rising is counted is 0, high level is counted is 25, decline is counted is 0; The sampling number of the one-period T of basic waveform 3 is fs/f1=5000/50=100, and it is 50 that its low level is counted, rising is counted is 0, high level is counted is 50, decline is counted is 0; The sampling number of the one-period T of basic waveform 4 is fs/f1=5000/25=200, and it is 100 that its low level is counted, rising is counted is 0, high level is counted is 100, decline is counted is 0.High level numerical value is 1, and low level numerical value is 0.Low frequency modulations ripple is made up of (n1=2) basic waveform 1, (n2=5) basic waveform 2, (n3=3) basic waveform 3, (n4=2) basic waveform 4 low frequency modulations ripple, total duration L1=n1/f1+n2/f2+n3/f3+n4/f4=2/20+5/100+3/50+2/25=0.29s of low frequency modulations ripple.
By the low frequency modulations ripple of above-mentioned emulation, simulation waveform as shown in Figure 3.
M3, according to step m1 sample rate f s and carry wave frequency, counting and the numerical value of each point of carrier wave one-period is set, then according to the cycle-index of the duration calculation carrier wave of low frequency modulations ripple, generates carrier wave.
For the present embodiment, carrier frequency is F=1000Hz, square wave, and total duration L2 must be equal with low frequency modulations ripple.Then: the sampling number of the one-period T of carrier wave is fs/f1=5000/1000=5, and it is 2 that its low level is counted, high level is counted is 3, high level numerical value is 1, and low level numerical value is-1; Cycle-index k=L1/ (1/1000)=0.29*1000=290 time.
By the carrier wave of above-mentioned emulation, simulation waveform as shown in Figure 4.
Above-mentioned low frequency modulations ripple and carrier wave do AND operation and generate one-level wave group.
In the present embodiment, above-mentioned low frequency modulations ripple (as shown in Figure 3) and carrier wave (as shown in Figure 4) do AND operation, obtain one-level wave group (as shown in Figure 5).
It is pointed out that in the present embodiment one-level wave group, the form of basic waveform and the implementation procedure of number of combinations just in order to the method is described, use with reality and clinical effectiveness has nothing to do, the feature of consequent waveform also just in order to better express figure.
Embodiment 2
Based on the analgesia Wave form detector described in embodiment 1, the 2nd embodiment of the present invention, as shown in Figure 6, a kind of analgesia Wave form detector, is characterized in that, also comprise waveform processing unit 601.Described waveform acquisition unit 101 is also connected with output unit 102 through described waveform processing unit 601.
Described waveform processing unit 601 goes out waveform configuration parameter for the actual analgesia resolve of wave shape gathered from waveform acquisition unit 101;
Described output unit 102 is also for exporting the contoured configuration parameter that described waveform processing element analysis calculates and the waveform parameter of actual disposition generating described analgesia waveform.
Further, the present invention also provides a kind of analgesia waveforms detection method based on the Wave form detector that eases pain described in embodiment 2, as shown in Figure 7, it is characterized in that, comprises the following steps:
Step B1: gather the waveform that analgesic apparatus exports;
Step B2: go out waveform configuration parameter from output waveform analytical calculation;
Step B3, according to generation step B1 the contoured configuration parameter of waveform, simulation calculation goes out desirable waveform;
The ideal analgesia waveform that step B4, the actual analgesia waveform exporting step B1 collection and step B3 emulate; Export the contoured configuration parameter of step B2 calculating and the waveform parameter of actual disposition simultaneously.
It should be noted that, the present embodiment 2 is on the basis of embodiment 1, by the reverse analysis to output waveform data, calculates waveform parameter value.Identical with embodiment 1, the present embodiment is also whether correct by detecting described one-level wave group if detecting the output of analgesic apparatus.
In the present embodiment, utilize one-level wave group (as low frequency modulations wave group: 5 (5Hz)+20 (100Hz)+10 (2Hz)+20 (10Hz) equally, carrier wave: square wave, frequency=1000Hz) method calculating waveform parameter value from output waveform is described.In order to this method is better described, the present embodiment supposes that described analgesic apparatus exports above-mentioned desirable one-level wave group, considers the difference of Real output waveform simultaneously.
In the present embodiment, choose Fig. 5 waveform (by one-level wave group 2 (20Hz)+5 (100Hz)+3 (50Hz)+2 (25Hz), carrier wave: the simulation waveform of frequency=1KHz) in one section of waveform be designated as S, as shown in Fig. 8 ~ 9, analytical calculation goes out waveform parameter value, and step is as follows:
Step X1: utilize A/D to change and the simulation of collection analgesia waveform transformation is become digital waveform, be designated as analgesia waveform S;
Step X2: pretreatment is carried out to analgesia waveform S;
Step X3: calculate carrier wave and low frequency modulations wave parameter.
Further, step X2 carries out pretreatment to analgesia waveform S, comprises the following steps:
Step X21: obtain analgesia waveform S peak-to-peak value ± V, consider actual waveform output error, arranging low and high level cut off value is k*V, 0<k<1.The present embodiment k=0.4;
Step X22: based on waveform S, what be greater than+k*V is updated to 1, is less than or equal to+k*V and is updated to 0;
Step X23: obtain waveform S rising time point, and calculate the interval of adjacent rising edges successively, be designated as time period ordered series of numbers Δ t [1,2], Δ t [2,3] ... Δ t [n-1, n]; Δ t [n-1, n] represents (n-1)th interval to the n-th rising edge.
For the present embodiment, as shown in Figure 8, under ideal waveform, Δ t [1,2]=Δ t [2,3]=Δ t [4,5]=Δ t [5,6]=1ms, Δ t [3,4]=4ms, Δ t [6,7]=7ms.
Further, step X3 calculates carrier wave and low frequency modulations wave parameter, comprises the following steps:
Step X31: according to the minimum frequency of described analgesic apparatus carrier wave and the peak frequency of low frequency modulations ripple, chooses carrier wave and low frequency modulations separation wave period, is designated as Δ T.
For the present embodiment, carrier wave and low frequency modulations wave frequency separation are 500Hz, then Δ T=2ms.
Step X32: calculate carrier frequency.From time period Δ t [i-1, i] (i=2 ... n) time period being less than Δ T is chosen in, to its averaging Δ Tp, then carrier frequency f=1/ Δ Tp;
For the present embodiment, the time period being less than Δ T is Δ t [1,2], Δ t [2,3], Δ t [4,5], Δ t [5,6].Δ Tp=(Δ t [1,2]+Δ t [2,3]+Δ t [4,5]+Δ t [5,6])/4=1ms, carrier frequency f=1/ Δ Tp=1000Hz;
Step X33: the high level time calculating low frequency modulations ripple.That chooses from step X32 is less than the time period of Δ T, and cumulative adjacent time period postscript is the new time period.The high level time of low frequency modulations ripple be cumulative after the new time period add one and carry Δ Tp wave period.
Such as, that chooses from step X32 is less than the time period of Δ T, and there is m section a certain adjacent time period, respectively: Δ t [n-m, n-m+1], Δ t [n-m+1, n-m+2] ... Δ t [n-1, n], (n>m, m>1), according to time period sequence, cumulative adjacent time period postscript is new time period Δ t [n-m, n]=m* Δ Tp.High level time TH [n-m, n]=[n-(n-m)] * Δ Tp+ Δ Tp=(m+1) * Δ Tp of low frequency modulations ripple.
For the present embodiment, one of them is less than Δ T and the adjacent time period: Δ t [1,2], Δ t [2,3], by (Δ t [1,2]+Δ t [2,3]) as new time period Δ t [1,3]=(3-1) * Δ Tp=2* Δ Tp.Then high level time TH [1,3]=Δ t [1, the 3]+Δ Tp=3* Δ Tp=3ms of low frequency modulations ripple.
Another one is less than Δ T and the adjacent time period: Δ t [4,5], Δ t [5,6], by (Δ t [4,5]+Δ t [5,6]) as new time period Δ t [4,6]=(6-4) * Δ Tp=2* Δ Tp.Then high level time TH [4,6]=Δ t [4, the 6]+Δ Tp=3* Δ Tp=3ms of low frequency modulations ripple.
Step X34: the low level time calculating low frequency modulations ripple.From Δ t [i-1, i] (i=2 ... n) choose the time period being greater than Δ T in, the low level time of low frequency modulations ripple is this time period and deducts one again and carry Δ Tp wave period.
Such as, time period Δ t [k, k+1], low level time TL [k, k+1]=Δ t [k, the k+1]-Δ Tp of low frequency modulations ripple;
For the present embodiment, the time period being less than Δ T is Δ t [3,4], then low level time TL [3,4]=Δ t [3,4] – Δ Tp=3ms of low frequency modulations ripple;
Step X35: calculate low frequency modulations wave parameter.According to the high and low level time of each low frequency modulations ripple that step X33, X34 calculate, calculate the frequency of each basic waveform.After calculating the frequency of all basic waveform be linked in sequence, calculate number that the is adjacent and basic waveform of same frequency respectively, extrapolate frequency and the number of each component basic waveform of low frequency modulations ripple.
For the present embodiment Fig. 8, high and low level time according to each low frequency modulations ripple of step X33, X34 calculating can cover whole waveform according to high and low level circulation, such as TH [1,3] high level, TH [3,4] low level, TH [4,6] high level, TH [6,7] low level etc.Each adjacent high and low level combinations becomes a basic waveform, calculates the frequency of each basic waveform accordingly.Basic waveform is the ingredient of low frequency modulations ripple, when after the frequency calculating all basic waveform be linked in sequence, just can calculate number that the is adjacent and basic waveform of same frequency respectively, just can extrapolate frequency and the number of each component basic waveform of low frequency modulations ripple.
Although it is pointed out that the wave analyzing device described in the present embodiment 2 is based on the desirable simulation waveform shown in Fig. 8, the waveform of actual acquisition may difference to some extent with it, and this also affects the enforcement of wave analyzing device described in the present embodiment.On the contrary, just based on the wave analyzing device that desirable simulation waveform is studied, can detect that whether wave form output is accurate, improve the output accuracy of waveform.
Waveform S1 illustrates the frequency information of waveform, and after step X2 ~ X3 Threshold segmentation, waveform S2 not only continues the frequency information remaining Real output waveform S1, and is that the parameter calculating modulating wave and carrier wave is provided convenience.On the other hand, in the present embodiment, the low frequency modulations wave parameter extrapolated according to above-mentioned X1 ~ X9 method have ignored basic waveform rise time and fall time parameter, there are some systematic errors, but this does not affect the calculating to low frequency modulations ripple each component basic waveform frequency and number.The core place of frequency and number described analgesia waveform just, the present embodiment is exactly by judging the accuracy that the accuracy of low frequency modulations ripple each component basic waveform frequency and number carrys out detection waveform and exports.
Main purpose of the present invention is the generative process according to waveform, desirable analgesia waveform is simulated on the one hand from input waveform parameter, go out waveform configuration parameter from outfan resolve of wave shape on the one hand, they judge that whether analgesia wave form output is correct then two groups of correction datas to be supplied to user aid.Certainly, contoured configuration parameter is after software and hardware exports, waveform and the desirable simulation waveform of actual output have certain gap, what the parameter value calculated from Real output waveform reverse push and reality were arranged also has some gaps, and these all need, and user is follow-up to be judged further to desirable and actual goodness of fit.Output unit of the present invention comprises the output unit such as display, printer conventional at present.
Above-described embodiment is the present invention's preferably embodiment; but embodiments of the present invention are not restricted to the described embodiments; change, the modification done under other any does not deviate from spirit of the present invention and principle, substitute, combine, simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (3)
1. ease pain a Wave form detector, it is characterized in that: comprise waveform acquisition unit, output unit and wave simulation unit; Described waveform acquisition unit, wave simulation unit are connected with output unit respectively;
Described waveform acquisition unit is used for from analgesic apparatus collection analgesia waveform;
The configuration parameter simulation calculation that described wave simulation unit is used for according to generating described analgesia waveform goes out desirable waveform;
The analgesia waveform that described output unit collects for exporting described waveform acquisition unit, also for exporting the waveform that described wave simulation unit simulation calculation goes out;
Analgesia wave analyzing device comprises the following steps:
Steps A 1: gather the waveform that analgesic apparatus exports;
Steps A 2: the contoured configuration parameter of waveform according to generation step A1, simulation calculation goes out desirable waveform;
Steps A 3: export the actual analgesia waveform of steps A 1 collection and the ideal waveform of steps A 2 emulation;
In described steps A 2, simulation calculation goes out desirable waveform, comprises the following steps:
Step M1: emulation low frequency modulations ripple and carrier wave;
Step M2: the low frequency modulations ripple utilizing step M1 to emulate and carrier wave do AND operation, generates desirable output waveform;
Emulate low frequency modulations ripple and carrier wave in described step M1, comprise the following steps:
M1: the sample rate that low frequency modulations ripple, carrier wave are set;
M2: the frequency of sample rate and each combination foundation waveform according to step m1, arranges counting and the numerical value of each point of each combination foundation waveform one-period, then generates low frequency modulations ripple according to the number of each combination foundation waveform and sequential combination;
M3: sample rate f s and carry a wave frequency according to step m1, arranges counting and the numerical value of each point of carrier wave one-period, then according to the cycle-index of the duration calculation carrier wave of low frequency modulations ripple, generate carrier wave.
2. ease pain a Wave form detector, it is characterized in that, comprise waveform acquisition unit, output unit and wave simulation unit; Described waveform acquisition unit, wave simulation unit are connected with output unit respectively;
Described waveform acquisition unit is used for from analgesic apparatus collection analgesia waveform;
The configuration parameter simulation calculation that described wave simulation unit is used for according to generating described analgesia waveform goes out desirable waveform;
The analgesia waveform that described output unit collects for exporting described waveform acquisition unit, also for exporting the waveform that described wave simulation unit simulation calculation goes out;
Described analgesia Wave form detector also comprises waveform processing unit; Described waveform acquisition unit is also connected with output unit through described waveform processing unit;
Described waveform processing unit is used for going out waveform configuration parameter from the actual analgesia resolve of wave shape of waveform acquisition unit collection;
Described output unit is also for exporting the contoured configuration parameter that described waveform processing element analysis calculates and the waveform parameter of actual disposition generating described analgesia waveform;
Analgesia wave analyzing device comprises the following steps:
Step B1: gather the waveform that analgesic apparatus exports;
Step B2: go out waveform configuration parameter from output waveform analytical calculation;
Step B3: the contoured configuration parameter of waveform according to generation step B1, simulation calculation goes out desirable waveform;
Step B4: export the actual analgesia waveform of step B1 collection and the ideal analgesia waveform of step B3 emulation; Export the contoured configuration parameter of step B2 calculating and the waveform parameter of actual disposition simultaneously;
Go out waveform parameter value from output waveform data analytical calculation in described step B2, comprise the following steps:
Step X1: utilize A/D to change and the simulation of collection analgesia waveform transformation is become digital waveform, be designated as analgesia waveform S;
Step X2: pretreatment is carried out to analgesia waveform S;
Step X3: calculate carrier wave and low frequency modulations wave parameter;
In described step X2, pretreatment is carried out to analgesia waveform S, comprises the following steps:
Step X21: obtain analgesia waveform S peak-to-peak value ± V, consider actual waveform output error, arranging low and high level cut off value is k*V, 0<k<1;
Step X22: based on waveform S, what be greater than+k*V is updated to 1, is less than or equal to+k*V and is updated to 0;
Step X23: obtain waveform S rising time point, and calculate the interval of adjacent rising edges successively, be designated as time period ordered series of numbers Δ t [1,2], Δ t [2,3] ... Δ t [n-1, n]; Δ t [n-1, n] represents (n-1)th interval to the n-th rising edge.
3. analgesia Wave form detector according to claim 2, is characterized in that, calculates carrier wave and low frequency modulations wave parameter, comprise the following steps in described step X3:
Step X31: according to the minimum frequency of described analgesic apparatus carrier wave and the peak frequency of low frequency modulations ripple, chooses carrier wave and low frequency modulations separation wave period, is designated as Δ T;
Step X32: calculate carrier frequency; From time period Δ t [i-1, i] (i=2 ... n) time period being less than Δ T is chosen in, to its averaging Δ Tp, then carrier frequency f=1/ Δ Tp;
Step X33: the high level time calculating low frequency modulations ripple; That chooses from step X32 is less than the time period of Δ T, and cumulative adjacent time period postscript is the new time period; The high level time of low frequency modulations ripple be cumulative after the new time period add one and carry Δ Tp wave period;
Step X34: the low level time calculating low frequency modulations ripple; From Δ t [i-1, i] (i=2 ... n) choose the time period being greater than Δ T in, the low level time of low frequency modulations ripple is this time period and deducts one again and carry Δ Tp wave period;
Step X35: calculate low frequency modulations wave parameter; According to the high and low level time of each low frequency modulations ripple that step X33, X34 calculate, calculate the frequency of each basic waveform; After calculating the frequency of all basic waveform be linked in sequence, calculate number that the is adjacent and basic waveform of same frequency respectively, extrapolate frequency and the number of each component basic waveform of low frequency modulations ripple.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410160077.5A CN104014076B (en) | 2014-04-21 | 2014-04-21 | A kind of analgesia Wave form detector and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410160077.5A CN104014076B (en) | 2014-04-21 | 2014-04-21 | A kind of analgesia Wave form detector and method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104014076A CN104014076A (en) | 2014-09-03 |
| CN104014076B true CN104014076B (en) | 2016-02-24 |
Family
ID=51431251
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410160077.5A Active CN104014076B (en) | 2014-04-21 | 2014-04-21 | A kind of analgesia Wave form detector and method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104014076B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105288837A (en) * | 2014-07-28 | 2016-02-03 | 广州三瑞医疗器械有限公司 | System and method for detecting labor analgesia waveforms |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4858142A (en) * | 1987-08-05 | 1989-08-15 | Tektronix, Inc. | Digitizer effective resolution measurement system using sinewave parameter estimation |
| CN101060445A (en) * | 2007-05-09 | 2007-10-24 | 华为技术有限公司 | Network flow simulation method and equipment, network flow test method and equipment |
| CN101493488A (en) * | 2008-01-22 | 2009-07-29 | 杭州士兰微电子股份有限公司 | Remote controller test system and method |
| CN101629995A (en) * | 2009-08-10 | 2010-01-20 | 华中电网有限公司 | Detection method of phasor measurement unit PMU |
| CN101769998A (en) * | 2010-01-18 | 2010-07-07 | 南通大学 | Switched reluctance motor flux linkage characteristic measurement method |
| CN102940934A (en) * | 2012-11-26 | 2013-02-27 | 广州三瑞医疗器械有限公司 | Biological feedback type delivery physical analgesia device |
| CN103135013A (en) * | 2012-12-28 | 2013-06-05 | 辽宁省电力有限公司 | Detecting and evaluating system of data acquisition unit |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6847349B2 (en) * | 2001-11-21 | 2005-01-25 | Tektronix, Inc. | Serial data cursor |
-
2014
- 2014-04-21 CN CN201410160077.5A patent/CN104014076B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4858142A (en) * | 1987-08-05 | 1989-08-15 | Tektronix, Inc. | Digitizer effective resolution measurement system using sinewave parameter estimation |
| CN101060445A (en) * | 2007-05-09 | 2007-10-24 | 华为技术有限公司 | Network flow simulation method and equipment, network flow test method and equipment |
| CN101493488A (en) * | 2008-01-22 | 2009-07-29 | 杭州士兰微电子股份有限公司 | Remote controller test system and method |
| CN101629995A (en) * | 2009-08-10 | 2010-01-20 | 华中电网有限公司 | Detection method of phasor measurement unit PMU |
| CN101769998A (en) * | 2010-01-18 | 2010-07-07 | 南通大学 | Switched reluctance motor flux linkage characteristic measurement method |
| CN102940934A (en) * | 2012-11-26 | 2013-02-27 | 广州三瑞医疗器械有限公司 | Biological feedback type delivery physical analgesia device |
| CN103135013A (en) * | 2012-12-28 | 2013-06-05 | 辽宁省电力有限公司 | Detecting and evaluating system of data acquisition unit |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104014076A (en) | 2014-09-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2016156875A1 (en) | Apparatus and method for monitoring partial discharge | |
| CN103543329B (en) | A kind of high energy consumption smelting system electric energy loss measuring method | |
| US20200333378A1 (en) | Method and apparatus for processing oscilloscope signal and oscilloscope | |
| CN104991210B (en) | The evaluation method and caliberating device of a kind of local discharge detection device | |
| CN105510859A (en) | System and method for evaluating electronic transformer | |
| CN104198811B (en) | Method and device for measuring frequency of low frequency signal | |
| CN108693498A (en) | A kind of electrical energy meter calibration method | |
| CN111934760A (en) | Signal processing transmission delay characteristic detection device and method and terminal equipment | |
| CN106124033A (en) | A kind of vibration measurement with laser calibration accumulation calibration steps of big trigger delay | |
| CN109298362A (en) | A kind of distribution line failure indicator three-phase synchronous method for testing precision, device and system | |
| CN104014076B (en) | A kind of analgesia Wave form detector and method thereof | |
| CN201935964U (en) | Automatic intelligent detection device for quartz oscillator instrument | |
| CN104597424B (en) | A kind of optical transformer electrical energy measurement verification platform and verification method | |
| CN104502875B (en) | Signal detection apparatus calibration method based on time and frequency parameter standard signal source mode | |
| KR20220075322A (en) | Analysis systems and methods for gear testing | |
| CN102401856A (en) | Real-time frequency measuring method for power frequency voltage signal based on fuzzy clustering method | |
| CN106019042B (en) | A method of high-tension cable built-in electrical insulation defect type is identified based on characteristic spectrum | |
| CN104156339B (en) | A kind of method utilizing secondary to arrange entropy recognition cycle Weak pulse signal | |
| CN103580654B (en) | Reactor period signal generator and its implementation and using method | |
| CN105891702A (en) | General type multichannel testing device for comprehensive functions of flexible printed circuit board (FPC) | |
| CN105891637A (en) | Intelligent substation secondary device testing method and intelligent substation secondary device testing system | |
| CN207036908U (en) | A kind of signal generator and handheld digital pulse and electric current tester | |
| CN104459485B (en) | The treating method and apparatus of shelf depreciation ultrasonic signal | |
| JP5701079B2 (en) | Measuring apparatus and measuring method | |
| Simic et al. | Software oriented approach in providing and processing of signals with real power quality problems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |