CN201920719U - Detector for sinus node electrogram - Google Patents
Detector for sinus node electrogram Download PDFInfo
- Publication number
- CN201920719U CN201920719U CN2010206515776U CN201020651577U CN201920719U CN 201920719 U CN201920719 U CN 201920719U CN 2010206515776 U CN2010206515776 U CN 2010206515776U CN 201020651577 U CN201020651577 U CN 201020651577U CN 201920719 U CN201920719 U CN 201920719U
- Authority
- CN
- China
- Prior art keywords
- signal
- sne
- preamplifier
- esophagus
- detector
- 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.)
- Expired - Fee Related
Links
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The utility model relates to a medical detecting instrument, in particular to a detector for a sinus node electrogram. The detector for the sinus node electrogram comprises three signal amplification adjustment circuits, a multi-path select switch, a 16 bit A/D (Analog to Digital) converter, a QRS trigger and a microcomputer system, wherein each signal amplification adjustment circuit consists of a sensor, a preamplifier, an isolation amplifier, a filter and a gain control level, wherein the sensor, the preamplifier, the isolation amplifier, the filter and the gain control level are sequentially connected. The output end of each gain control level of each signal amplification adjustment circuit is connected with the multi-path select switch, and the output end of the multi-path select switch is connected with the signal input interface of the 16 bit A/D converter. Each sensor causes a signal to sequentially pass through the preamplifier, the isolation amplifier, the filter and the gain control level to be input to the multi-path select switch, the multi-path select switch sends the signal to the 16 bit A/D converter, and the 16 bit A/D converter processes the signal and then sends the signal to the microcomputer system. The QRS trigger is connected between the multi-path select switch and a public connecting position between the preamplifier and the isolation amplifier.
Description
Technical field
This utility model relates to medical detecting Instrument, particularly a kind of sinus node electrogram detector.
Background technology
From (Circ Res, 1977 such as Cramer in 1977; 41:292) recorded first since exsomatize sinus node cells transmembrane action potential and the extracellular SNE, the experiment of SNE and clinical research have obtained some progress.But because of SNE is a microvolt level sinus node electrogram, only between a few microvolt to tens microvolts, Chang Yong surface electrocardiogram recording method can not detect its amplitude clinically.1978, Hariman (Am J Cardiol, 1978; 41:374) taked the wound method, used epicardial lead and record SNE in right atrium sulcus terminalis portion; The same year Krongard (Circulation, 1978; 58 (suppII) II:146) adopt cardiac catheter to record SNE from endocardium.But because SNE belongs to microvolt level low frequency, short arc electrocardiosignal, it is lower to be recorded as power, operative process complexity in addition, and appointed condition is had relatively high expectations, and has certain danger, has caused wound method record SNE to be very limited in clinical practice.In recent years, see the report that noinvasive method record SNE is arranged successively.1981, (Circulation, 1981 such as Waldemar J; 64 (Supp IV) IV:298) reported from the method for body surface record noinvasive SNE; 1985, Zheng Chang (Chinese cardiovascular disease magazine, 1985; 13:174) reported the method (non-averaging method) of not having the esophagus SNE that sets a record; 1986, (Nanjing Medical College's journal, 1986 such as Cai Yuying; 6 (2): 118) method that C leads body surface record noinvasive SNE is adopted in report; 1991, Cai Yuying (Nanjing Medical College's journal, 1991; 171) etc. 11 (3): reported the method that adopts program control couple of duration amplifier record noinvasive body surface SNE again.But because of all having in the noinvasive SNE recording process: 1) genus low frequency, short arc ripple easily cause baseline drift; 2) non-signal averaging record signal to noise ratio is lower; 3) lack and have the wound method to survey the SNE synchronous recording to contrast; 4) SNE that is write down has waveform and easily obscures atypism and regularity mutually with the extreme difference current potential; 5) problem such as the low and poor repeatability of success rate is disputed on so at present the body surface that write down with the noinvasive method or esophagus SNE are existed, and its focus concentrates on whether the P prewave that records is SNE, how to recognize and problem such as analysis.
Summary of the invention
Technical problem to be solved in the utility model is the technical deficiency at above-mentioned existence, and a kind of stable performance, sinus node electrogram detector that resolution is high are provided.
This utility model is that the technical scheme that its technical problem of solution is adopted is: the sinus node electrogram detector, its difference is: it comprises 3 road signal amplification regulating circuits, multidiameter option switch, 16 A/D converters, the QRS trigger, microsystem, every road signal amplification regulating circuit is by pick off, preamplifier, isolated amplifier, wave filter, the gain-adjusted level connects successively and forms, the gain-adjusted level outfan of every road signal amplification regulating circuit all connects multidiameter option switch, and the outfan of multidiameter option switch connects 16 A/D converter signal input interfaces; Every road pick off is input to multidiameter option switch by preamplifier, isolated amplifier, wave filter, gain-adjusted level successively with signal, multidiameter option switch is delivered to 16 A/D converters with signal, 16 A/D converters are delivered to microsystem after with signal processing, are connected with the QRS trigger between common junction between preamplifier and the isolated amplifier and the multidiameter option switch.
The beneficial effects of the utility model are: this utility model sinus node electrogram detector, can improve signal to noise ratio, and increase signal resolution and prevent wave distortion, get rid of the interference of other waveform, prevent baseline drift, to guarantee the record of sinus node electrogram.
Description of drawings
Fig. 1 is this utility model structural representation.
The specific embodiment
As shown in Figure 1, this utility model embodiment sinus node electrogram detector, it comprises 3 road signal amplification regulating circuits, multidiameter option switch, 16 A/D converters, QRS trigger, microsystem, every road signal amplification regulating circuit is connected successively by pick off, preamplifier, isolated amplifier, wave filter, gain-adjusted level and forms, the gain-adjusted level outfan of every road signal amplification regulating circuit all connects multidiameter option switch, and the outfan of multidiameter option switch connects 16 A/D converter signal input interfaces; Every road pick off is input to multidiameter option switch by preamplifier, isolated amplifier, wave filter, gain-adjusted level successively with signal, multidiameter option switch is delivered to 16 A/D converters with signal, 16 A/D converters are delivered to microsystem after with signal processing, are connected with the QRS trigger between common junction between preamplifier and the isolated amplifier and the multidiameter option switch.
Below further specify this utility model specific embodiment.
1. the design concept of sinus node electrogram detector
What the design of sinus node electrogram detector was at first considered is to use the noinvasive method, utilize esophagus close on left room anatomic characteristic, lead electrocardiogram (ECG) through esophagus electrode measurement, signal averaging demonstration, synchronous recording 12, set up a kind of method of novel record noinvasive sinus node electrogram.Whether the risk factor that causes sudden death with prediction exists.In case the discovery suspicious lesions should be carried out suitable classification and prediction, so that strive for effectively treating and taking corresponding precautionary measures.
2. the development of sinus node electrogram detector _ _ _ _ _ modern cardiology, automatization's science, computer science and electronic technology integrated.
1) adopt the adaptive algorithm real-time of improvement to eliminate the electrical network interference, it can be eliminated interference below the 1mV, and any component of ECG signal is not had a bit influence.
2) adopt that multinomial approaches, relevant and addend difference correlation technique superposes with reference to template.The correlation coefficient of its feasible QRS wave group that is selected in is greater than 0.996, and noise level is less than predetermined threshold.
3) monitor waveform, correlation coefficient, R-R interval, the noise level situation of X, Y, Z in real time.
4) can choose that 4 limits, 6 limits, 8 limit Butterworth digital high-pass filters are carried out special filtering wantonly and ringing without male offspring.Filtered signal can be carried out amplification arbitrarily doubly or dwindle.The digital filter corner frequency can be chosen wantonly.Not only be suitable for diagnosis, and be suitable for the work of making a search.
5) can show signal after primary signal that X, Y, Z lead and the filtering (respectively and merge); Can show the high-resolution ECG (difference or merging show) that X, Y, Z lead; Can show X, Y, the filtered amplitude of the vector figure of Z.
6) procedure judges P ripple starting point, P ripple terminal point, P ripple starting point.Also can manually revise.
7) calculate the diagnosis index of sinus node electrogram automatically.
8) all adjustable cursor trace routine in all pictorial displays can be measured RMS voltage before and after time, level, filtering of any one section ECG signal.
9) the level scale of all figures all has adaptation function, adjusts automatically when signal being carried out program control amplification or dwindling.
10) Directory of Features, firefly screen show, choose at random, grasp easy and simple to handle, easy.
11) high speed, high resolution is drawn.
12) display waveform is selected in order to manual or automatic in real time.
13) frozen waveform is measured with cursor line.
14) the high density floppy disc stores and is subjected to inspection of data.
15) have 12 and lead ecg amplifier, intracardiac ecg amplifier, sinus node electrogram amplifier, P ripple detector.Integrated degree height, easy and simple to handle.
16) safe and reliable.
3. main research contents
1) key technology
(1) development is by preamplifier, isolated amplifier, wave filter, gain-adjusted level, multidiameter option switch, signal-averaging technique, 16 sinus node electrogram monitors that A/D converter, anti-waft software, QRS trigger and microsystem are formed, improve signal to noise ratio, increase signal resolution and prevent wave distortion, get rid of the interference of other waveform, prevent baseline drift, to guarantee the record of sinus node electrogram.
The power frequency interference is eliminated in the interferential elimination of power frequency two kinds of methods: a kind of is to manufacture and design battery-powered computer system, comprise bioelectric amplifier, A/D converter and all Computerized analysis systems, in this way, whole system can be floated ground fully, does not make power frequency disturb the loop that enters and do not exist.Be not difficult to find out, realize that this system floating ground key problem in technology depends on the level of high integrated manufacturing capacity.Therefore, must on the mathematical theory basis of strictness, set up reliable and stable software and eliminate the power frequency interference.Cramer etc. have proposed two time threshold filtering methods, and the square-error minimum is approached filtering and filtered in-phase.These two kinds of methods are all based on the amplitude and the phase place of estimated disturbance signal on whole digitized ECG signal.Though these technology have advantage really than conventional low-pass filtering, and on routine record ECG signal, carry out fairly goodly, also can not satisfy the strict demand of little potentiometric analysis far away.One very simply and is effectively eliminated the power frequency interference method is the adaptive noise technology for eliminating.The advantage that adaptive noise is eliminated is tangible.Because concerning Adaptive Noise Canceler, disturb and original input is originated identically, so can not be affected in the implementation because of interferential frequency change or more interferential transmittance process.Except top effective measures are disturbed power frequency to eliminate below the 1uV, should take further step to prevent that the high-frequency QRS complex wave of high-amplitude from disturbing the LMS/Newton algorithm.Adopt the time sequential adaptive technology, R wave crest point is used as sequence number, and the variation 80ms after each sequence number that weighs serial number begins, and 240ms finishes before next sequence number.Use this method, the variation of weight coefficient occurs over just between isoelectric period behind ST section and the T ripple.This sequential technical guarantee the self adaptation weight coefficient stably restrain.
About the special consideration of signal averaging for having solved the common frequency power network interference problem, need average software of high-quality signal of design, the quality of signal averaging can improve by following two kinds of methods: a kind of is the time warping in strict control detection ECG cycle, and another kind is that the Optimal Signals under the non-stationary background noise is average.From the signal averaging principle, we know that it is very important that the ECG waveform is accurately aimed at.If accurately do not aim at, for example in the waveform of accepting, time warping is quite big, and the high frequency physiological signal that then comprises low-level heart micronormal will be weakened or smoothly fall after average.The time warping of 1ms will cause the HPS current potential to reduce 10 times according to reports.Therefore, in order to detect sinus node electrogram effectively, must make time warping less than 1ms.For satisfying this strict specification requirement, a low noise ECG waveform model need be set, definition R wave crest point is a datum mark.The ECG cycle of each sampling at first aims at model by datum mark then.Through aiming at for the first time, produced two error sum of squares minimal polynomials and approached model ECG waveform and ECG waveform subsequently based on equation.Then, to two polynomial computation Pearson correlation coefficient (CC), the time warping of CC between can two normal sinusoidal rhythm and pace of moving things of reflection clearly.Multinomial approaches the effect with low pass filter, can offset the influence of calculating the random noise that adds among the CC.Have two factors can cause CC to reduce, first is the time warping between model and the signal; Second is because the variation of the waveform that the variation of random noise and other factors such as axle etc. cause.The purpose that multinomial approached before calculating CC is to eliminate the influence of second kind of factor, thereby CC can reflect the influence of first kind of factor effectively.Need in the design CC is provided with a threshold value, misplace in 1ms in acceptable ECG cycle inner control.If the threshold value of CC more than or equal to 0.996, then can be controlled on the cycle in the dislocation 1ms at any acceptable ECG.In practice, if be equal to or less than 0.004, then can misplace certainly necessarily less than 1ms because dislocation and noise cause all CC landing.Because in the reality, because the existence of random noise, the waveform of model and signal can not be identical, thereby it also will cause the non-zero landing of CC, and then the CC landing that is caused by dislocation separately is necessarily less than 0.004, so dislocation is necessarily less than 1ms.In order further to improve the quality of signal averaging, model itself is upgraded after average by the waveform that receives.Because this technology, the noise in the model is reduced gradually, thereby can help to accept those low noises and accurate aligned ECG waveform.
The technical parameter input impedance is greater than 1M Ω, and common mode rejection ratio is greater than 120dB, and the amplifier frequency response is 0.1-1KHz, and A/D converter is 16bit, and the systematic sampling frequency is 2000Hz, and system gain is by the program control setting of software, and gain ranging 200-100000 doubly.During detection, serve as to trigger reference point, be limited to a RR interval during signal averaging with QRS ripple starting point, that is: account for before the trigger point RR 90% time limit of interval, the trigger point accounts for RR 10% time limit of interval, and the adjustable ratio in time limit before and after the trigger point is to guarantee that SNE is in average range and is as the criterion.The analytic signal number that leads is 3, digital filtering, spectrum analysis, cursor are arranged and analyzes automatically, and the way of output adopts the LQ1600 printer.
Software programming adopts the signal averaging principle, and measured signal is carried out N time on average, and signal to noise ratio is improved
Doubly.Whole software adopts Tutbo C language and 8088 macro assembly languages to mix and writes.This software utilizes the functions such as high-speed realization data acquisition, model design, spectrum analysis and gain control of macro assembly language, utilizes that the powerful of C language realizes that digital filtering, drawing, base float that identification, calculation of parameter, cursor, waveform are smooth, functions such as upset and data access.After the system start-up, a certain function in operator's choice menus after finishing, is returned main menu.
The model program in the signal averaging program, | the condition that Ti-Ta| decision is average, wherein Ta is a model, Ti is an instantaneous heart rate.The method of determining Ta is: gather 12 cardiac cycle signal in advance, get rid of 4 maximums wherein with 4 minimums, more remaining cardiac cycle signal is asked on average, when proceeding signal averaging later on, model by formula Ta=α Ta+ (1-α) Ta dynamically updates, and α is 0.7 in the design.
The noise measurement noise be divided into the baseline noise standard deviation and signal standards poor.The baseline noise standard deviation is calculated as follows:
Wherein on behalf of x, y, z three, j=1,2,3 lead respectively, and m counts Q for the calculating noise that whenever leads
2 NjkRms voltage for baseline noise.The signal standards difference is
, n is average cardiac cycle number, the noise calculation section is got the 5ms segment length of 60ms place behind the QRS ripple.When system is in the noise threshold working method, each average after, with measured signal standard deviation and this threshold ratio, till reaching this setting threshold; And system is when being in signal averaging number of times working method, is threshold value with the cardiac cycle of signal averaging, after finishing, calculates the resultant signal standard deviation.
The digital filtering Design of Digital Filter adopts the design from the analog low-pass prototype to digital band-pass filter.The analog low-pass ptototype filter adopts the Butterworth filter construction, and the normalization system function is: H (P)=1/ (P
2+ 0.765367P+1) (P
2+ 1.847759P+1),, can get high and low logical digital filter system function HH (Z) and HL (Z): HH (Z)=g respectively with the substitution of digital high and low pass filter formula
1H(1-z
-1)
2/ [1-a
Hz
-1+ b
Hz
-2] g
2H(1-z
-1)
2/ [1-C
Hz
-1+ d
Hz
-2], HL (Z)=g
1L(1-z
-1)
2/ [1-a
Lz
-1+ b
Lz
-2] g
2L(1-z
-1)
2/ [1-C
Lz
-1+ d
Lz
-2], ask the corresponding difference equation y of system function HH (Z) and HL (Z) respectively
H(n) and y
L(n), can try to achieve this digital band-pass filter.
The desired signal of unusual eliminating signal averaging principle is a cyclical signal, thereby must get rid of unusual heartbeat, selects usually | Ti-Ta|＜0.08 second condition is as the criterion of signal averaging.Yet theory analysis shows: the method that adopts this fixed value to make criterion will cause signal averaging result's inhomogeneities, that is: when heart rate is slow, the condition of signal averaging is tight; And heart rate is when fast, and the condition of signal averaging is wide.For addressing this problem, this research changes the fixed value criterion into change with model criterion, that is: | and Ti-Ta|＜Ta * 15% has improved above-mentioned deficiency.Very important to the waft identification of signal of base before the signal averaging in addition, certain base must be set before average and float threshold value, thereby guarantee when base wafts less than this threshold value, just to carry out signal averaging, otherwise, will not be on average, thus high-quality result guaranteed.
Model is handled and is adopted the model processing method that averages with most hearts rate, guarantees the measurement to electrocardiosignal, widens the range of application of signal averaging method.
(2) synchronous dog noinvasive esophagus SNE and the relative analysis that wound antrum interface SNE is arranged
Use the signal averaging principle, to dog noinvasive esophagus SNE, have wound antrum interface visceral pericardium SNE and right atrium current potential three to lead signal averaged ecg to carry out synchronous comparative study, and split the breast dog and adopt clamp method damage visceral pericardium antrum interface, set up non-sinus arrhythmia model, confirmed dog noinvasive esophagus SNE and concordance, verity and accuracy that wound antrum interface visceral pericardium SNE is arranged.
(3) synchronous people's noinvasive esophagus SNE and the relative analysis that wound antrum interface SNE is arranged
On the experimentation basis of successful esophagus record SNE, synchronizing signal average record 256 routine people's noinvasive esophagus SNE, there are wound antrum interface endocardium SNE and right atrium current potential three to lead signal averaged ecg, further proved application signal averaged ecg principle, through feasibility, reliability and the practicality of esophagus record noinvasive SNE.
(4) record analysis of noinvasive esophagus SNE
Employing is furnished with signal-averaging technique; the electrocardio micronormal detector of 16 A/D converters and anti-three self-controls of program software feature board that wafts; use the signal averaged ecg principle; according to the periodicity of electrocardiosignal and the stochastic behaviour of noise; utilize left room to close on the anatomic characteristic of esophagus; the low frequency that to gather through esophagus; the antrum interface electrocardiosignal of short arc is carried out N time on average; improve signal to noise ratio; 1289 routine patients with arrhythmia have been detected; esophagus SNE waveform to 1108 example records; time limit; amplitude; relation between the adjacent wave is analyzed, and has instructed the diagnosis and the treatment of patients with arrhythmia effectively.
2) main research contents
(1) uses signal averaged ecg principle record noinvasive esophagus SNE
Use the signal averaging principle; according to the periodicity of electrocardiosignal and the stochastic behaviour of noise; utilize left room to close on the anatomic characteristic of esophagus; employing is furnished with signal-averaging technique; the electrocardio micronormal detector of 16 A/D converters and anti-three self-controls of program software feature board that wafts; the low frequency that to gather through esophagus; short arc microvolt level sinuatrial node electrocardiosignal is carried out N time on average; improve signal to noise ratio; clear reliable to record; good reproducibility; the noinvasive esophagus SNE that success rate is high is the basic research of cardiac electrophysiology; the assessment of conducting system of heart function; the prediction of the clinical diagnosis and treatment of cardiovascular disease and sudden cardiac death high-risk patient provides theory and experimental basis.
(2) use 16 A/D converters and detect esophagus SNE
Existing microcomputer is all used 8 or 10 A/D converters, because its resolution is lower, the micrometer volt level SNE of institute in processes such as signal averaging, differentiation, calculating and demonstration, easily causes wave distortion behind its digitized.This research directly will be furnished with three self-control feature boards of signal-averaging technique, 16 A/D converters and the anti-program software that wafts, be installed in the expansion slot of microcomputer board plug type structure, and do not account for the machine volume in addition, to increase the signal resolution of electrocardio micronormal detector, improve signal to noise ratio,, good reproducibility clear for wave recording, the esophagus SNE that success rate is high provide effective instrument.
(3) use the self-editing anti-program software record esophagus SNE that wafts
In the process of record low frequency, short arc microvolt level esophagus SNE, because electrode catheter is difficult for fixing in esophagus, the influence that waveform is subject to factors such as baseline drift of surveying is easily obscured with low frequency, the short arc M phase of wave relevant with the QRS waveform.In order to overcome the influence of unfavorable factor, successfully extract esophagus SNE, the self-editing anti-program software that wafts of this research and utilization, the setting one base threshold value of wafing before esophagus SNE record, commencing signal is average when base wafts less than this threshold value, otherwise refuses signal averaging, has guaranteed the record of high-quality esophagus SNE.
(4) synchronous recording dog esophagus SNE, antrum interface SNE and right atrium three are led signal averaged ecg
The body surface of existing domestic and international application noinvasive method record or esophagus SNE have all that waveform is easily obscured mutually with the extreme difference current potential, atypism and regularity, success rate is low and shortcoming such as poor repeatability, do not carry out synchronous comparative study, thereby many scholars are to the SNE existence dispute of noinvasive method record with the SNE that wound method record is arranged in addition.This research takes the lead in using the signal averaging principle, to dog noinvasive esophagus SNE, have wound antrum interface visceral pericardium SNE and right atrium current potential three to lead signal averaged ecg to carry out synchronous comparative study, and split the breast dog and adopt clamp method damage visceral pericardium antrum interface, set up non-sinus arrhythmia model, the result shows that synchronous three lead signal averaged ecg SNE disappearance, has confirmed dog noinvasive esophagus SNE and concordance, verity and accuracy that wound antrum interface visceral pericardium SNE is arranged.
(5) synchronous recording people esophagus SNE, antrum interface SNE and right atrium three are led signal averaged ecg
On the experimentation basis of successful esophagus record SNE, take the lead in using and be furnished with signal-averaging technique, the electrocardio micronormal detectors of 16 A/D converters and anti-three self-controls of program software feature board that wafts, have wound antrum interface endocardium SNE and right atrium current potential three to lead signal averaged ecg at synchronizing signal average record people noinvasive esophagus SNE.256 routine patients are through the SNE of esophagus signal averaged ecg record and intracardiacly have the synchronous comparative study result of record-breaking SNE to show, between tall and big positive and negative two-way left room potential wave that writes down through esophagus and P ripple, an equipotential line is arranged, time limit is equivalent to the depolarization time of right room early than left room, itself and left room current potential sum are the ECG P ripple time limit, and the P prewave is just before equipotential line, be SNE, confirmed that the P prewave that writes down through the esophagus signal averaged ecg really is sinus node potential, has further proved the feasibility that adopts noinvasive method record esophagus SNE, reliability and practicality.
(6) through esophagus signal averaged ecg record noinvasive SNE
Employing is furnished with the electrocardio micronormal detector of signal-averaging technique, 16 A/D converters and anti-three self-controls of program software feature board that wafts, use the signal averaged ecg principle, according to the periodicity of electrocardiosignal and the stochastic behaviour of noise, utilize left room to close on the anatomic characteristic of esophagus, to carry out N time on average through the low frequency of esophagus collection, the antrum interface electrocardiosignal of short arc, improve signal to noise ratio.The application of 16 A/D converters and the anti-program software that wafts, that eliminating was write down in the past because the caused pseudo-P prewave of M ripple that the inverse process that the myocardial electrical activity generation is shunk or " ring " phenomenon cause provides advantage for studying SNE.By 1289 routine patients are analyzed and researched through the P prewave that esophagus write down, show the normal person of most of sinus node functions, can record through esophagus signal averaging SNE (success rate is 86%); Suitable filtering, high-gain, anti-baseline drift technology are the keys of the average esophagus sinus node electrogram of tracer signal.
Above embodiment is preferred embodiment of the present utility model; be not that utility model is done any type of restriction; every foundation technological essence of the present utility model all still belongs in the protection domain of the present utility model any simple modification, equivalent variations and modification that above embodiment did.
Claims (1)
1. sinus node electrogram detector, it is characterized in that: it comprises 3 road signal amplification regulating circuits, multidiameter option switch, 16 A/D converters, QRS trigger, microsystem, every road signal amplification regulating circuit is connected successively by pick off, preamplifier, isolated amplifier, wave filter, gain-adjusted level and forms, the gain-adjusted level outfan of every road signal amplification regulating circuit all connects multidiameter option switch, and the outfan of multidiameter option switch connects 16 A/D converter signal input interfaces; Every road pick off is input to multidiameter option switch by preamplifier, isolated amplifier, wave filter, gain-adjusted level successively with signal, multidiameter option switch is delivered to 16 A/D converters with signal, 16 A/D converters are delivered to microsystem after with signal processing, are connected with the QRS trigger between common junction between preamplifier and the isolated amplifier and the multidiameter option switch.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010206515776U CN201920719U (en) | 2010-12-10 | 2010-12-10 | Detector for sinus node electrogram |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010206515776U CN201920719U (en) | 2010-12-10 | 2010-12-10 | Detector for sinus node electrogram |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201920719U true CN201920719U (en) | 2011-08-10 |
Family
ID=44424596
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010206515776U Expired - Fee Related CN201920719U (en) | 2010-12-10 | 2010-12-10 | Detector for sinus node electrogram |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN201920719U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110926520A (en) * | 2019-11-08 | 2020-03-27 | 中国水利水电科学研究院 | Automatic data acquisition system of low-insulation vibrating wire sensor |
| WO2020086042A3 (en) * | 2018-10-22 | 2020-06-11 | Corlam Nano Ve Biyoteknoloji Biyomedikal Arastirma Gelistirme Sanayi Ve Ticaret As | A sinaoatrial node electrography system and method |
| WO2020086043A3 (en) * | 2018-10-22 | 2020-07-30 | Corlam Nano Ve Biyoteknoloji Biyomedikal Arastirma Gelistirme Sanayi Ve Ticaret As | A cardiac electrostimulation system and method using sinaoatrial node electrography |
-
2010
- 2010-12-10 CN CN2010206515776U patent/CN201920719U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020086042A3 (en) * | 2018-10-22 | 2020-06-11 | Corlam Nano Ve Biyoteknoloji Biyomedikal Arastirma Gelistirme Sanayi Ve Ticaret As | A sinaoatrial node electrography system and method |
| WO2020086043A3 (en) * | 2018-10-22 | 2020-07-30 | Corlam Nano Ve Biyoteknoloji Biyomedikal Arastirma Gelistirme Sanayi Ve Ticaret As | A cardiac electrostimulation system and method using sinaoatrial node electrography |
| CN110926520A (en) * | 2019-11-08 | 2020-03-27 | 中国水利水电科学研究院 | Automatic data acquisition system of low-insulation vibrating wire sensor |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20070129639A1 (en) | Methods and analysis for cardiac ischemia detection | |
| CN103690156B (en) | The processing method of a kind of heart rate acquisition methods and electrocardiosignal | |
| CN106108889A (en) | Electrocardiogram classification method based on degree of depth learning algorithm | |
| CN107920770A (en) | Identification is used for the fuzzy heart signal of electro physiology mapping | |
| CN105125206B (en) | A kind of intelligent cardiac monitoring method and device | |
| JP2015519087A (en) | Real-time QRS detection using adaptive threshold | |
| US20180317853A1 (en) | Pacing signal processing method, system and electrocardiogram monitor | |
| Gomez-Clapers et al. | Towards the standardization of ballistocardiography systems for J-peak timing measurement | |
| CN103027675A (en) | Novel portable three-lead real-time wireless electrocardiogram monitoring system and analyzing method | |
| CN109009085A (en) | A kind of R wave of electrocardiosignal detection method and system | |
| CN103970975A (en) | Electrocardio data processing method and electrocardio data processing system | |
| CN201920719U (en) | Detector for sinus node electrogram | |
| CN105982661A (en) | Portable electrocardiogram monitoring system and data processing method thereof | |
| TWI810447B (en) | Method for detecting wave complex, ecg detection device and readable storage medium | |
| EP2311368B1 (en) | Orientation determination for an implantable medical device | |
| CN110507313A (en) | A kind of intracavitary electrocardiosignal method for reconstructing and device | |
| CN204520670U (en) | A kind of electrocardiogram monitor system based on Internet of Things | |
| US20200254248A1 (en) | Systems and methods for selecting, positioning, and controlling cardiac resynchronization therapy (crt) electrodes | |
| CN201912077U (en) | High-performance atrionector electrograph detector | |
| CN111166325B (en) | Electrocardiosignal QRS complex wave detection method and system based on IPCMM algorithm | |
| CN103417208B (en) | Atrial fibrillation detection device | |
| US9020584B2 (en) | Method for the detection of subcutanous cardiac signals and a cardiac device for use in detecting subcutaneous cardiac signals | |
| CN201939338U (en) | Improved sino-atrial node electrogram detector | |
| CN202365773U (en) | Remote wireless electrocardio real-time monitoring system | |
| CN101066207B (en) | Digital reconstructing heart output instrument |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110810 Termination date: 20111210 |