CN201088579Y - Device for checking and evaluating arteriosclerosis - Google Patents
Device for checking and evaluating arteriosclerosis Download PDFInfo
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- CN201088579Y CN201088579Y CNU2007201700711U CN200720170071U CN201088579Y CN 201088579 Y CN201088579 Y CN 201088579Y CN U2007201700711 U CNU2007201700711 U CN U2007201700711U CN 200720170071 U CN200720170071 U CN 200720170071U CN 201088579 Y CN201088579 Y CN 201088579Y
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Abstract
The utility model discloses an arteriosclerosis checking and evaluating device, which comprises a signal acquisition element, a memory module, a data analysis module, a resulting display module and a report output module; wherein, the signal acquisition element is used for picking up biological signals as cardiograph, cardiac sound and blood pressure of the sufferer; the memory module is connected with the signal acquisition element, for storing the signal data acquired by the signal acquisition element; the data analysis module is connected with the memory module, for feature point abstraction of the biological signals in the memory module and calculating the ankle arm index ABI and detecting the conduction time PWV of the pulse wave in the blood vessel. The resulting display unit is connected with the data analysis module, for displaying the result calculated by the data analysis module to the user. The report output module is connected with the resulting display module, for outputting a check conclusion report; the utility model has simple structure, low cost and can carry out the early detection and diagnosis of arteriosclerosis effectively.
Description
Technical field
The application relates to a kind of medical treatment device, particularly a kind ofly detects and assess arteriosclerotic device.
Background technology
Arteriosclerosis is a kind of non-inflammation pathological changes of tremulous pulse, can make that ductus arteriosus wall thickens, hardening, follow the string and tube chamber narrow and small.Nearest decades, along with human living standard's the continuous change with dietary structure of improving constantly, the sickness rate of cardiovascular and cerebrovascular disease has risen to first of the various diseases, becomes the first killer of serious threat human health.Prognosis has important value to arteriosclerotic earlier detection to cardiovascular and cerebrovascular disease, if what can take place in arteriosclerosis is the change that the endothelial function imbalance phase detects the arteriosclerosis degree ahead of time in early days, the doctor can reverse arteriosclerotic development by medicine or logical diet.Therefore, arteriosclerotic earlier detection, early diagnosis, early stage control become the important theme of contemporary medical science science and education and social development.
The potential danger that factors such as hypertension and blood fat rising usually point out arteriosclerosis to take place, arm index (ABI) is the ratio that ankle systolic arterial pressure and bilateral brachial artery systolic pressure get peak, it is the best noinvasive index of diagnosis of arteriosclerosis, being diagnosis and effective foundation of estimating the lower limb Arteriosclerosis obliterans, is the best noinvasive index of diagnosis peripheral arterial ischemia.By obtaining systolic pressure, mean pressure, diastolic pressure and the pulse pressure of extremity, can calculate arm index ABI, its formula is as follows: ABI=ankle systolic pressure ÷ upper arm systolic pressure.
The mensuration of pulse wave velocity (PWV) is used for passing judgment on the elasticity of tremulous pulse, this is based on conduction velocity that physics principle is a pulse wave and the stiffness index of arterial wall has dependency relation: the stiffness index of tremulous pulse is high more or compliance is poor more, then pulse wave conduction speed is fast more, otherwise the stiffness index of tremulous pulse is low more or compliance is good more, and pulse wave conduction speed is slow more.By record extremity blood pressure pulse wave, detect pulse wave at endovascular conduction time, can calculate PWV, concrete computing formula is as follows:
PWV＝L/PTT
Wherein L is a length of vessel, and PTT is the pulse wave passing time.
At present, domestic diagnostic instrument for arteriosclerosis mainly adopts ultrasonic Doppler effect to measure the pulse wave conduction speed of tremulous pulse, with the arteriosclerotic light and heavy degree that has that it's too late of the diagnosis human body depth.That the employed instrument precision of the method requires is high, involve great expense domestic main dependence on import.And relevant auxiliary detection device such as ultrasonic, radiography and magnetic resonance etc. are more paid attention to is change on vascular morphology is learned, and this change usually is to occur in after the organic disease that has to a certain degree, can not be from the intensity of variation of the arteriosclerotic stiffness index of early stage understanding.
The utility model content
In order to solve the problems of the prior art, this utility model provides a kind of simple in structure, detection that cost is low and assesses arteriosclerotic device, it comprises signals collecting parts, memory module, data analysis module, display module and report output module as a result, and the signals collecting parts are used to extract patient's bio signals such as electrocardio, hear sounds and blood pressure; Memory module links to each other with described signals collecting parts, being used for that the signal data of described signals collecting parts collection is preserved described data analysis module links to each other with memory module, the bio signal that is stored in the memory module is carried out the extraction of characteristic point, calculate arm index ABI and detect pulse wave at endovascular conduction time PWV, wherein ABI and PWV are provided by following formula:
ABI=ankle systolic pressure ÷ upper arm systolic pressure
PWV＝L/PTT
L is a length of vessel, and PTT is the pulse wave passing time; Described display unit as a result links to each other with described data analysis module, be used for the data analysis module result calculated is shown to the user that described report output module links to each other with display module as a result, be used for output to detect the conclusion report, providing to user and patient, and for the usefulness of file.
Further, described signals collecting parts also comprise pick-up transducers, acquisition module and transport module, pick-up transducers one end links to each other with the patient, and an end links to each other with this instrument, is mainly used to gather the signal of electrocardio, hear sounds, extremity cuff blood pressure, acquisition module is used for monitoring, controlling the work of pick-up transducers, and data are delivered to transport module, and transport module is the intermediary of hardware controls and software analysis, the data analysis module that upload the data to PC carries out signal processing and analysis.
Pick-up transducers of the present utility model further comprises ecg signal acquiring pick off, cardiechema signals pick-up transducers, extremity blood pressure pick-up transducers and carotid artery, radial artery, femoral artery and arteria digitalis pulse collection pick off everywhere, signal transmission module has the usb data coffret of standard, is used for installing other module with this and links to each other.
The cuff blood pressure that described signals collecting parts are gathered electrocardio, hear sounds, extremity comes analysis-by-synthesis arteriosclerosis degree, wherein adopt two cufves to carry out blood pressure measurement at ankle pressure, this pair cuff comprises air pump, two cuff inner valve, the big slow vent valve of cuff, the slow vent valve of little cuff and fast vent valve.
Device of the present utility model adopts oscillographic method to realize the automatic detection of non-invasive blood pressure, promptly to the pulse vibration and wave motion signal that reads in through after denoising, going baseline drift to handle, look for the pulse wave maximum point again, extract the envelope curve of pulse vibration and wave motion signal amplitude, if the envelope characteristic point do not occur, then return and read the pulse signal ripple, repeat the selection of above-mentioned envelope characteristic point, if the envelope characteristic point is then carried out the calculating of blood pressure parameter.
Characteristics of the present utility model are that simple in structure, easy to operate, one-time detection can be calculated a plurality of parameters such as ABI, PWV, ET, PEP, makes that diagnosis and assessment arteriosclerosis degree are convenient, quick, accurate.Measure the technology of the pulse wave conduction speed of tremulous pulse than traditional employing ultrasonic Doppler effect and compare, installation cost of the present utility model is low, can carry out earlier detection and diagnosis to arteriosclerosis effectively, benefits extensive use.
Description of drawings
Fig. 1 is the overall system block diagram of detection of the application's arteriosclerosis and apparatus for evaluating:
Fig. 2 is the signal graph that the application's arteriosclerosis detects and apparatus for evaluating is gathered;
Fig. 3 is the internal structure theory diagram of detection of the application's arteriosclerosis and apparatus for evaluating;
Fig. 4 is the sequential chart that two cufves detect in detection of the application's arteriosclerosis and the apparatus for evaluating;
Fig. 5 is a non-invasive blood pressure testing process sketch map in detection of the application's arteriosclerosis and the apparatus for evaluating;
Fig. 6 is the flow chart that blood pressure calculates in detection of the application's arteriosclerosis and the apparatus for evaluating.
Fig. 7 utilizes the pulse wave envelope line chart that the application's arteriosclerosis detects and apparatus for evaluating calculates.
The specific embodiment
This Design of device principle is by gathering blood pressure pulse signal, electrocardio and the cardiechema signals of extremity, extract the characteristic parameter of pulse wave, thereby calculate pulse wave conduction speed PWV and arm index the ABI ratio of upper arm blood pressure (the ankle blood pressure with), to help earlier detection and diagnosis of arteriosclerosis.
This utility model arteriosclerosis detect and the overall system block diagram of apparatus for evaluating as shown in Figure 1, it comprises signals collecting parts, memory module, data analysis module, display module and report output module as a result; Described signals collecting parts are used to extract patient's bio signals such as electrocardio, hear sounds and blood pressure; These signals are transferred to memory module and store, and then be input to data analysis module, carry out calculating and the analysis of pulse wave conduction speed PWV and arm index ABI at data analysis module, the result who calculates and analyze shows by display module, and the result is exported by the report output module.Wherein the signals collecting parts comprise pick-up transducers, acquisition module and transport module, pick-up transducers one end links to each other with the patient, one end links to each other with this instrument, be mainly used to gather the signal of electrocardio, hear sounds, extremity cuff blood pressure, acquisition module is used for monitoring, controlling the work of pick-up transducers, and data are delivered to transport module, transport module is the intermediary of hardware controls and software analysis, and the data analysis module that upload the data to PC carries out signal processing and analysis.Pick-up transducers in this utility model has a plurality of, comprise ecg signal acquiring pick off, cardiechema signals pick-up transducers, extremity blood pressure pick-up transducers and carotid artery, radial artery, femoral artery and arteria digitalis pulse collection pick off everywhere, these pick offs can adopt dual mode, a kind of as core signal sensor, directly be placed on the signals collecting position, as heart, directly obtain electrocardiosignal, another kind of as extremity blood pressure pick-up transducers, adopt the cuff formula of sphygomanometer, have air valve and air pump.Arteriosclerosis of the present utility model detects and apparatus for evaluating also can further have real-time display module, links to each other with memory element, and all signals that real-time synchronous monitoring collects also can select to monitor part signal wherein.
Below in conjunction with the concrete signal of gathering, an embodiment of this utility model device is described.As shown in Figure 2, be letter that the application's arteriosclerosis detects and apparatus for evaluating is gathered,
Electrocardiosignal is used for calculating in real time the Q ripple start position of heart rate and each cardiac cycle, and the time synchronized scale is provided.
Cardiechema signals is used for calculating the position of second heart sound, by with other intervals characteristic parameter combined calculation heart contraction time.The ratio of ejection time and PEP is used for the power of appraiser's systemic heart blood-pumping function.
PEP PEP is calculated as follows: from the second heart sound starting point to the time the pulse wave dicrotic notch.With Fig. 2 is example, and the time difference that record II, B are 2 is PEP PEP.
Ejection time is calculated as follows: with the pulse wave of one-period, and the time difference between from the starting point to the dicrotic notch, the time difference of 2 of A, B is ejection time ET in the kymogram 2.
Right arm, left arm, right ankle and left ankle blood pressure signal are used for obtaining systolic pressure, mean pressure, diastolic pressure and the pulse pressure of extremity, calculate arm index ABI.Arm index (ABI) is diagnosis and effective foundation of estimating the lower limb Arteriosclerosis obliterans.
By record extremity blood pressure pulse wave, detect pulse wave at endovascular conduction time, calculate pulse wave conduction speed PWV, with Fig. 2 example, 2 moment corresponding of record A, A1, the difference in 2 the moment is PTT, length of vessel is L between upper arm and the ankle.Length of vessel L adopts the distance between tape measure ankle and the upper arm to obtain.
Tabulation provides the sample calculation of the concrete numerical value of above-mentioned all parameters:
Fig. 3 is the internal structure theory diagram of detection of the application's arteriosclerosis and apparatus for evaluating, in the present embodiment, the detection employing of blood pressure is gathered the extremity blood pressure data simultaneously and is analyzed, and left upper arm and right upper arm adopt single cuff connection, and left ankle and right ankle adopt two cuff connections.The both feet ankle also can adopt single cuff connection, a kind of reduced form of the just two cufves of single cuff.Because double-legged ankle blood pressure is than both arms height, so if adopt single cuff to measure double-legged ankle blood pressure, then need the aeration quantity bigger than both arms to come blocking blood flow, thereby accurately analyze.Consider the safety of measurement, for less aeration quantity, accurate analytical calculation both feet ankle blood pressure, we have researched and developed two cuff measuring devices.Two cuff measuring methods can be prepared analysis meter with the both arms aeration quantity and calculate human body both feet ankle blood pressure, have tangible technical advantage.
Detect beginning, at first with the ecg signal acquiring pick off, the cardiechema signals pick-up transducers, extremity blood pressure pick-up transducers and carotid artery, radial artery, femoral artery and arteria digitalis pulse collection pick off everywhere all correctly are connected to corresponding measured position, in the present embodiment, each pick off all adopts the cuff form of sphygomanometer, when clicking START button, air pump begins inflation, the fast venting air valve and the air valve of exitting slowly are in closure state, system enters the blood pressure inflated condition, the sensor acquisition electrocardio, hear sounds, blood pressure, signals such as tremulous pulse, these each road signals that collects are again by after the processing and amplifying, deliver to the blood pressure pulse de-vice processor of data analysis module, send to PC by USB port then.When the little cuff of double-legged ankle was inflated to the human body mean pressure, little cuff stopped inflation, and the air valve that simultaneously little cuff connects is still closed, and little cuff is in the state of feeling suffocated.When air-pump inflating reaches maximum aeration quantity, be that left and right sides upper arm cuff blocks blood flow, arm bottom pulseless signal, the big cuff of both feet ankle blocks blood flow, little cuff pulseless signal, this moment air pump 1, air pump 2, air pump 3-1, air pump 3-2, air pump 4-1, air pump 4-2 quits work, system stops inflation, the air valve 1 of exitting slowly simultaneously, slowly the air valve 2 of exitting, slowly air valve 3-1 exits, slowly air valve 3-2 exits, slowly air valve 4-1 exits, slowly the air valve 4-2 that exits opens, fast venting air valve 1, fast venting air valve 2, fast venting air valve 3, fast venting air valve 4 still is in closure state, and system enters slow deflated state.When being deflated to can detect pulse signal the time, this moment, the cuff internal pressure was the systolic pressure of human body.Become when mild from bigger variation when being deflated to pulse, this moment, the cuff internal pressure was the diastolic pressure of human body.At this moment, the air valve 1 of exitting soon, soon exit air valve 2, soon exit air valve 3, the air valve 4 of exitting is opened soon, system enters fast deflated state, finishes one-time detection.
Cause pump to be inflated when chance failure occurring, when valve was closed always, we had designed the software and hardware protector always.On the one hand, designed overvoltage protective module in the circuit, when the cuff internal pressure surpassed 285mmHg, the overvoltage crowbar of overvoltage protective module stopped pump, and opening of valves discharges the interior gas of cuff rapidly, and pressure is reduced to atmospheric pressure rapidly.On the other hand, when out of control, processor utilizes house dog that software is resetted rapidly when software fault occurring, thereby discharges the cuff internal pressure.Guarantee the trouble free service of instrument by two aspects of software and hardware.
The work schedule of two cuff testing processes is illustrated in fig. 4 shown below:
This device adopts oscillographic method to realize the automatic detection of non-invasive blood pressure, be illustrated in fig. 5 shown below, be cuff air pressure and the time dependent curve of pulse vibration wave amplitude, in the inflation of starting stage blood pressure pulse measuring device processor control cuff, gas charging system is forced into certain value (as 180mmHg) to cuff, guarantee to surpass systolic pressure, make bloodstream blocking, and it is constant to keep-up pressure, simultaneously the pressure oscillation that causes because of pulse in the cuff is sampled, sampling finishes the venting of back control air valve, makes the cuff decompression.Discharge quantity is controlled at cuff pressure is subtracted about 5mmHg.On each cuff pressure ladder, get the meansigma methods of two successive amplitudes fluctuation signal close,, constituted an information group, carry out blood pressure parameter analysis and algorithm research on this basis together with the cuff pressure value on each ladder with interval.
As shown in Figure 6, be the computational process of one road blood pressure parameter (relevant parameters such as systolic pressure, mean pressure and systolic pressure) wherein: at first to the pulse vibration and wave motion signal that reads in through after denoising, going baseline drift to handle, look for the pulse wave maximum point again, extract the envelope curve of pulse vibration and wave motion signal amplitude, if the envelope characteristic point do not occur, then return and read the pulse signal ripple, repeat the selection of above-mentioned envelope characteristic point, if the envelope characteristic point is then carried out the calculating (relevant parameters such as systolic pressure, mean pressure and systolic pressure) of blood pressure parameter.The envelope of Fig. 7 for obtaining through above-mentioned calculating.The pairing static pressure value of envelope curve peak (MP point) is the mean pressure of this detection, and the position of SP and DP correspondence is respectively systolic pressure and diastolic pressure position, and wherein SP and DP are envelope curve peaked 0.52 and 0.70 place.
The advantage of this device is: it is a plurality of that one-time detection can be calculated ABI, PWV, ET, PEP etc. Parameter is so that diagnosis and assessment artery sclerosis degree are convenient, quick, accurate.
Claims (5)
1. an arteriosclerosis detects and apparatus for evaluating, it is characterized in that, comprises signals collecting parts, memory module, data analysis module, display module and report output module as a result,
Described signals collecting parts are used to extract patient's bio signals such as electrocardio, hear sounds and blood pressure;
Described memory module links to each other with described signals collecting parts, is used for the signal data of described signals collecting parts collection is preserved;
Described data analysis module links to each other with memory module, and the bio signal that is stored in the memory module is carried out the extraction of characteristic point, calculates arm index ABI and detects pulse wave at endovascular conduction time PWV, and wherein ABI and PWV are provided by following formula:
ABI=ankle systolic pressure ÷ upper arm systolic pressure
PWV＝L/PTT
L is a length of vessel, and PTT is the pulse wave passing time,
Described display unit as a result links to each other with described data analysis module, is used for the data analysis module result calculated is shown to the user;
Described report output module links to each other with display module as a result, is used for output to detect the conclusion report, and providing to user and patient, and for the usefulness of file.
2. arteriosclerosis according to claim 1 detects and apparatus for evaluating, it is characterized in that described signals collecting parts further comprise pick-up transducers, acquisition module and transport module; Pick-up transducers one end links to each other with the patient, and an end links to each other with this instrument, is mainly used to gather the signal of electrocardio, hear sounds, extremity cuff blood pressure; Acquisition module is used for monitoring, controlling the work of pick-up transducers, and data are delivered to transport module; Transport module is the intermediary of hardware controls and software analysis, and the data analysis module that upload the data to PC carries out signal processing and analysis.
3. arteriosclerosis according to claim 2 detects and apparatus for evaluating, it is characterized in that described pick-up transducers further comprises ecg signal acquiring pick off, cardiechema signals pick-up transducers, extremity blood pressure pick-up transducers and carotid artery, radial artery, femoral artery and arteria digitalis pulse collection pick off everywhere.
4. arteriosclerosis according to claim 3 detects and apparatus for evaluating, it is characterized in that described signal transmission module has the usb data coffret of standard, is used for installing other module with this and links to each other.
5. arteriosclerosis according to claim 4 detects and apparatus for evaluating, it is characterized in that, the cuff blood pressure that described signals collecting parts are gathered electrocardio, hear sounds, extremity comes analysis-by-synthesis arteriosclerosis degree, wherein adopt two cufves to carry out blood pressure measurement at ankle pressure, this pair cuff comprises air pump, two cuff inner valve, the big slow vent valve of cuff, the slow vent valve of little cuff and fast vent valve.
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| Application Number | Priority Date | Filing Date | Title |
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| CNU2007201700711U CN201088579Y (en) | 2007-08-06 | 2007-08-06 | Device for checking and evaluating arteriosclerosis |
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| CNU2007201700711U CN201088579Y (en) | 2007-08-06 | 2007-08-06 | Device for checking and evaluating arteriosclerosis |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103906464A (en) * | 2011-10-28 | 2014-07-02 | 欧姆龙健康医疗事业株式会社 | Measuring device, index calculation method, and index calculation program |
| CN104970781A (en) * | 2015-06-08 | 2015-10-14 | 脉极客医疗科技（北京）有限公司 | Ankle brachial index measuring device and sphygmomanometer |
| CN106343948A (en) * | 2016-09-30 | 2017-01-25 | 南京信息职业技术学院 | Cerebral infarction patient monitoring and early warning system |
| CN107411724A (en) * | 2017-07-27 | 2017-12-01 | 悦享趋势科技（北京）有限责任公司 | Artery sclerosis measuring instrument and artery sclerosis measuring method |
| CN107427245A (en) * | 2015-01-26 | 2017-12-01 | 蔚山大学校产学协力团 | Blood circulation disorder measurement apparatus and its method |
| CN109316177A (en) * | 2018-11-02 | 2019-02-12 | 杜玲娟 | A kind of assessment device and method for peripheral arterial disease hemadostewnosis degree |
| CN109730723A (en) * | 2019-03-11 | 2019-05-10 | 京东方科技集团股份有限公司 | Determine method, artery sclerosis detection device and the system of pulse transit time |
| CN110200613A (en) * | 2019-04-08 | 2019-09-06 | 深圳市贝斯曼精密仪器有限公司 | A kind of blood flow blood pressure detector |
| CN112274121A (en) * | 2020-10-28 | 2021-01-29 | 河北工业大学 | Noninvasive arteriosclerosis detection method and device based on multipath pulse waves |
| CN113288751A (en) * | 2021-05-24 | 2021-08-24 | 中山大学附属第一医院 | Portable device for improving vascular endothelial function |
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2007
- 2007-08-06 CN CNU2007201700711U patent/CN201088579Y/en not_active Expired - Fee Related
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103906464B (en) * | 2011-10-28 | 2016-06-01 | 欧姆龙健康医疗事业株式会社 | Determinator and index calculating method |
| CN103906464A (en) * | 2011-10-28 | 2014-07-02 | 欧姆龙健康医疗事业株式会社 | Measuring device, index calculation method, and index calculation program |
| CN107427245A (en) * | 2015-01-26 | 2017-12-01 | 蔚山大学校产学协力团 | Blood circulation disorder measurement apparatus and its method |
| CN104970781A (en) * | 2015-06-08 | 2015-10-14 | 脉极客医疗科技（北京）有限公司 | Ankle brachial index measuring device and sphygmomanometer |
| CN104970781B (en) * | 2015-06-08 | 2017-12-26 | 脉极客医疗科技（北京）有限公司 | A kind of ankle brachial index measurement apparatus, sphygmomanometer |
| CN106343948A (en) * | 2016-09-30 | 2017-01-25 | 南京信息职业技术学院 | Cerebral infarction patient monitoring and early warning system |
| CN107411724A (en) * | 2017-07-27 | 2017-12-01 | 悦享趋势科技（北京）有限责任公司 | Artery sclerosis measuring instrument and artery sclerosis measuring method |
| CN109316177A (en) * | 2018-11-02 | 2019-02-12 | 杜玲娟 | A kind of assessment device and method for peripheral arterial disease hemadostewnosis degree |
| CN109730723A (en) * | 2019-03-11 | 2019-05-10 | 京东方科技集团股份有限公司 | Determine method, artery sclerosis detection device and the system of pulse transit time |
| CN110200613A (en) * | 2019-04-08 | 2019-09-06 | 深圳市贝斯曼精密仪器有限公司 | A kind of blood flow blood pressure detector |
| CN110200613B (en) * | 2019-04-08 | 2024-02-20 | 深圳市贝斯曼精密仪器有限公司 | Blood flow and blood pressure detection device |
| CN112274121A (en) * | 2020-10-28 | 2021-01-29 | 河北工业大学 | Noninvasive arteriosclerosis detection method and device based on multipath pulse waves |
| CN113288751A (en) * | 2021-05-24 | 2021-08-24 | 中山大学附属第一医院 | Portable device for improving vascular endothelial function |
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