CN201213789Y - System for simultaneously detecting and displaying human upper, lower limbs and aorta PWV values - Google Patents
System for simultaneously detecting and displaying human upper, lower limbs and aorta PWV values Download PDFInfo
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- CN201213789Y CN201213789Y CNU2008200606539U CN200820060653U CN201213789Y CN 201213789 Y CN201213789 Y CN 201213789Y CN U2008200606539 U CNU2008200606539 U CN U2008200606539U CN 200820060653 U CN200820060653 U CN 200820060653U CN 201213789 Y CN201213789 Y CN 201213789Y
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Abstract
The utility model discloses a system for simultaneously detecting and displaying PWV values of upper limbs, lower limbs and aorta of a human body, which is characterized by comprising a signal acquisition device, a signal processor, a signal converter, an operation system and an output device. The system realizes measurement of PWV values of a section of an artery by measuring the conduction time difference of pulse waves of the human body between two ends of the section of the artery, converts the pulse waves into electric signals through a pulse pressure sensor, describes the pulse waves into waveform graphs to display through signal processing-amplifying and hardware-software control, calculates the ratio of the conduction time difference T of the pulse waves of the human body between the two ends of the section of the artery in each cardiac circle according to the waveform contrast of electrocardiograms and cardiophonograms, so as to obtain the PWV value of the section of the artery, and then evaluates arteriosclerotic level of each section of the artery. The system has the advantages that the system fundamentally solves the problems that the accuracy and comparability of the detection results and the operation simplicity of simultaneously detecting and displaying the PWV values of each section of the artery at one time are difficult to realize at the same time, and is comprehensive and readable in report content.
Description
Technical field
This utility model relates to a kind of disposable PWV value of finishing segmented measurement aorta, upper limb and artery of lower extremity simultaneously, the device of segmented assessment demonstration aorta, upper limb and lower extremities level particularly discloses the upper and lower limb of a kind of human body and aorta PWV value detects display system simultaneously.
Background technology
Pulse wave velocity (Pulse Wave Velocity is called for short PWV) is meant pulse wave when ductus arteriosus wall is propagated, by a position (Zai Time Inter t
0) be transmitted to the another location (at time t
1) Mean Speed.PWV is an index that is used for measuring arterial elasticity and expansivity, and arterial stiffness increases can make PWV numerical value rise, and arterial elasticity increases PWV numerical value is descended.
Heart is whenever beated and once is about the blood that large artery trunks is carried 70ml.At this moment, go out the impact fluctuation conduction tip of blood from heart pump.This fluctuation is pulse wave.The speed that pulse wave is propagated between two positions in tremulous pulse is called pulse wave conduction speed (PWV).This is a Noninvasive index that is used for reflecting arterial elasticity and expansivity, and the high more ductus arteriosus wall of having represented of PWV value is hard more.
For lowering the sickness rate of cardiovascular and cerebrovascular disease, early stage noinvasive arteriosclerosis detects and has become a trend in the world.And passed through research and development and clinical practice for many years, pulse wave conduction speed PWV become develop one of the most sophisticated detection means, but traditional measurement method (as Doppler method) image data is more loaded down with trivial details, is difficult to obtain the PWV value.And can not disposablely obtain the PWV value of each sections.
Though there is producer to attempt using other measuring methods (as using the blood pressure cuff method), wish to simplify the operation, the result is influenced by external force, just obtains off-gauge PWV value by algorithm compensation.Its accuracy, reliability and and traditional measurement method result between comparability still need and wait for the approval of academia.And can only estimate whole tremulous pulse situation, can not divide aorta, upper limb and 3 sections evaluations of artery of lower extremity, cause easily that segmental is arteriosclerotic fails to pinpoint a disease in diagnosis or mistaken diagnosis.
The main problem of atherosclerosis detector is at present: 1, can not segmentedly measure; 2, not directly to measure pulse wave conduction speed, extrapolate BaPWV value (as the blood pressure cuff method) than (being the ABI value) by backoff algorithm but measure the upper and lower extremities blood pressure.The arteriosclerosis degree of human aortic, upper limb and each sections of artery of lower extremity is different, if can not provide the data of each sections, but the whole Arterial system of human body is provided an evaluation of estimate, causes easily that segmental is arteriosclerotic fails to pinpoint a disease in diagnosis or mistaken diagnosis.In addition, present blood pressure cuff method atherosclerosis detector, because external pressurized and incorporated the data of blood capillary when measuring, the PWV value that the non-world of the data of its measurement is habitual, and its reliability also need obtain relevantly approving.
Summary of the invention
The purpose of this utility model is that the testing result of solution prior art measurement means acquisition is accurate inadequately, the defective of segmented measurement simultaneously, the upper and lower limb of a kind of human body is disclosed and aorta PWV value detects display system simultaneously, not only easy and simple to handle, and testing result is accurately reliable.
This utility model is achieved in that upper and lower limb of a kind of human body and aorta PWV value detect display system simultaneously, it is characterized in that: it comprises signal picker, signal processor, signal adapter, operating system and output device, described signal picker is to gather electrocardio, hear sounds and pulsating wave signal respectively by electrode, heart sound transducer and fluctuation sensor, and described signal processor improves signal to noise ratio with the acquired signal of signal picker by differential amplifier; Remove dc noise by high pass filter; Remove high-frequency noise by low pass filter; By isolated amplifier analogue signal and digital signal are isolated, obtain available analogue signal by amplification and filtering; Described signal adapter passes through AD converter, the realization analog signal conversion is a digital signal, described operating system is with computer technology digital signal to be calculated waveform description figure at different levels, the oscillogram of ecg wave form, phonocardiogram waveform, carotid artery waveform, femoral artery wave-wave shape, radial artery waveform, instep red artery waveform is compared simultaneously calculated PWV and according to data base's relative analysis; Described output device is according to PWV value analytical data, and the hardenability of the testee aorta that draws, artery of upper extremity, artery of lower extremity and the index parameter of arteriosclerosis degree also print examining report.The pulse waveform figure of described signal picker comprises carotid artery, radial artery, femoral artery and instep tremulous pulse.Described to electrocardiogram, phonocardiogram, carotid artery and strand tremulous pulse, radial artery, instep red artery waveform figure compares calculating, is by the conduction time difference PTT of same cardiac cycle pulse wave at one section tremulous pulse go-and-retum
1And the ratio of distance between this section tremulous pulse two measurement points.The conduction time difference PTT of the distance of aorta PWV=carotid artery and femoral artery two measurement points/aorta go-and-retum
1The conduction time difference PTT of the distance of artery of upper extremity PWV=moving arteries and veins and femoral artery two measurement points/artery of upper extremity go-and-retum
1The conduction time difference PTT of the distance of artery of lower extremity PWV=femoral artery and instep tremulous pulse two measurement points/artery of lower extremity go-and-retum
1
The beneficial effects of the utility model are: this utility model is a kind of atherosclerosis detector, two hang-ups that prior art is faced have for a long time fundamentally been solved: the accuracy comparability of testing result and once detect facing a difficult choice between each sections arteriosclerosis ease-to-operate simultaneously, report content comprehensive and readable.
Description of drawings
Fig. 1 is this utility model block diagram;
Fig. 2 is this utility model workflow block diagram.
The specific embodiment
With reference to the accompanying drawings 1 and 2, upper and lower limb of a kind of human body of this utility model and aorta PWV value detect display system simultaneously, comprise signal picker, signal processor, signal adapter, operating system and output device.Signal picker is to gather electrocardiogram, phonocardiogram and pulsating waveform figure signal respectively by electrode, heart sound transducer and fluctuation sensor.Signal processor improves signal to noise ratio with the acquired signal of signal picker by differential amplifier; Remove dc noise by high pass filter; Remove high-frequency noise by low pass filter; By isolated amplifier analogue signal and digital signal are isolated, obtain available analogue signal by amplification and filtering.Signal adapter is by AD converter, and the realization analog signal conversion is a digital signal.Operating system is with computer technology digital signal to be calculated waveform description figure at different levels, ecg wave form, phonocardiogram waveform, carotid artery waveform, femoral artery wave-wave shape, radial artery waveform, instep red artery waveform figure is compared simultaneously calculate PWV and according to data base's relative analysis.Output device is according to PWV value analytical data, and the hardenability of the testee aorta that draws, artery of upper extremity, artery of lower extremity and the index parameter of arteriosclerosis degree also print examining report.The pulse waveform figure of signal picker comprises carotid artery, radial artery, femoral artery and instep tremulous pulse.Electrocardiogram, phonocardiogram, carotid artery and strand tremulous pulse, radial artery, instep red artery waveform figure are compared calculating, promptly by the conduction time difference PTT of same cardiac cycle pulse wave at one section tremulous pulse go-and-retum
1And the ratio of distance between this section tremulous pulse two measurement points.The conduction time difference PTT of the distance of aorta PWV=carotid artery and femoral artery two measurement points/aorta go-and-retum
1The conduction time difference PTT of the distance of artery of upper extremity PWV=moving arteries and veins and femoral artery two measurement points/artery of upper extremity go-and-retum
1The conduction time difference PTT of the distance of artery of lower extremity PWV=femoral artery and instep tremulous pulse two measurement points/artery of lower extremity go-and-retum
1Output device is according to PWV value analytical data, and the hardenability of the testee aorta that draws, artery of upper extremity, artery of lower extremity and the index parameter of arteriosclerosis degree also print examining report.
This utility model is directly measured the pulse wave of carotid artery, femoral artery, radial artery, instep tremulous pulse by pressure transducer, detect electrocardio, hear sounds simultaneously, and get above 6 and detect 10～30 seconds waveform recording of data, analysis obtains actual PWV value to comparison of wave shape by the intelligent software control technology.
Owing to adopted superior pick off and be equipped with intelligentized operation interface, this utility model become unique in the industry can be in 30 seconds of data record time, the disposable PWV value of finishing areal survey aorta, upper limb and artery of lower extremity simultaneously.
This utility model is realized actual measurement PWV value by actual measurement pulse velocity of wave, by the pulse pressure pick off pulse wave is converted into the signal of telecommunication, by signal amplification and hardware and software control pulse wave is described as oscillogram again and shows.Contrast in conjunction with electrocardiogram and phonocardiogram, each cardiac cycle pulse wave is poor at the conduction time of one section tremulous pulse go-and-retum, realizes the mensuration of this section tremulous pulse PWV value, and then estimates the arteriosclerosis level of each sections.This utility model is also by 4 measurement points: the pulse wave of carotid artery, femoral artery, radial artery, instep tremulous pulse is realized once segmented measurement simultaneously.
Claims (3)
1. upper and lower limb of human body and aorta PWV value detect display system simultaneously, it is characterized in that: it comprises signal picker, signal processor, signal adapter, operating system and output device, described signal picker is a signal of gathering electrocardio, hear sounds and carotid artery, radial artery, femoral artery and instep tremulous pulse by electrocardioelectrode, heart sound transducer and pulse transducer respectively, and described signal processor improves signal to noise ratio with the acquired signal of signal picker by differential amplifier; Remove dc noise by high pass filter; Remove high-frequency noise by low pass filter; By isolated amplifier analogue signal and digital signal are isolated, obtain available analogue signal by amplification and filtering; Described signal adapter is to realize that by AD converter analog signal conversion is a digital signal, described operating system is with computer technology digital signal to be calculated waveform description figure at different levels, the oscillogram of ecg wave form, hear sounds waveform, carotid artery waveform, femoral artery waveform, radial artery waveform, instep red artery waveform compared simultaneously calculate the corresponding PWV value of each sections, and according to data base's relative analysis; Described output device is according to PWV value analytical data, and the hardenability of the testee aorta that draws, artery of upper extremity, artery of lower extremity and the index parameter of arteriosclerosis degree also print examining report.
2. upper and lower limb of human body according to claim 1 and aorta PWV value detect display system simultaneously, it is characterized in that: the pulse waveform figure of described signal picker comprises carotid artery, radial artery, femoral artery and instep tremulous pulse.
3. upper and lower limb of human body according to claim 1 and aorta PWV value detect display system simultaneously, it is characterized in that: described electrocardiogram, phonocardiogram, carotid artery and femoral artery, artery of upper extremity, artery of lower extremity oscillogram being compared calculating simultaneously, is by the conduction time difference PTT of same cardiac cycle pulse wave at one section tremulous pulse go-and-retum
1And the ratio of distance between this section tremulous pulse two measurement points; The conduction time difference PTT of the distance of aorta PWV=carotid artery and femoral artery two measurement points/aorta go-and-retum
1The conduction time difference PTT of the distance of artery of upper extremity PWV=moving arteries and veins and femoral artery two measurement points/artery of upper extremity go-and-retum
1The conduction time difference PTT of the distance of artery of lower extremity PWV=femoral artery and instep tremulous pulse two measurement points/artery of lower extremity go-and-retum
1
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101889861A (en) * | 2010-07-28 | 2010-11-24 | 沈阳恒德医疗器械研发有限公司 | Device for analyzing cardiovascular and cerebrovascular characteristics and blood characteristics and detecting method |
| CN102551698A (en) * | 2011-12-16 | 2012-07-11 | 广州医学院第二附属医院 | Neck and brain arterial pulse wave speed measurement system |
| CN102599896A (en) * | 2011-12-16 | 2012-07-25 | 广州医学院第二附属医院 | System for measuring conduction time of pulse waves between cerebral arteries and cerebral veins |
| 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 |
| CN105147259A (en) * | 2015-06-12 | 2015-12-16 | 中国科学院合肥物质科学研究院 | System and method for multi-segment large artery stiffness test |
| CN105263402A (en) * | 2013-05-06 | 2016-01-20 | 马吉德·哈勒博 | Apparatus and method for determining the propagation speed of a pulse wave |
| CN107174197A (en) * | 2016-03-10 | 2017-09-19 | 深圳市理邦精密仪器股份有限公司 | Custodial care facility and its method for displaying waveform, device |
| WO2019011243A1 (en) * | 2017-07-13 | 2019-01-17 | 林世明 | Carotid physiological parameter monitoring system |
| CN109640802A (en) * | 2016-12-01 | 2019-04-16 | 林世明 | With the dynamic measurement device for determining blood pressure function |
-
2008
- 2008-07-11 CN CNU2008200606539U patent/CN201213789Y/en not_active Expired - Fee Related
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101889861B (en) * | 2010-07-28 | 2011-10-26 | 沈阳恒德医疗器械研发有限公司 | Device for analyzing cardiovascular and cerebrovascular characteristics and blood characteristics |
| CN101889861A (en) * | 2010-07-28 | 2010-11-24 | 沈阳恒德医疗器械研发有限公司 | Device for analyzing cardiovascular and cerebrovascular characteristics and blood characteristics and detecting method |
| CN102551698A (en) * | 2011-12-16 | 2012-07-11 | 广州医学院第二附属医院 | Neck and brain arterial pulse wave speed measurement system |
| CN102599896A (en) * | 2011-12-16 | 2012-07-25 | 广州医学院第二附属医院 | System for measuring conduction time of pulse waves between cerebral arteries and cerebral veins |
| CN102551698B (en) * | 2011-12-16 | 2015-03-18 | 广州医学院第二附属医院 | Neck and brain arterial pulse wave speed measurement system |
| CN105263402A (en) * | 2013-05-06 | 2016-01-20 | 马吉德·哈勒博 | Apparatus and method for determining the propagation speed of a pulse wave |
| 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 |
| 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 |
| CN105147259A (en) * | 2015-06-12 | 2015-12-16 | 中国科学院合肥物质科学研究院 | System and method for multi-segment large artery stiffness test |
| CN107174197A (en) * | 2016-03-10 | 2017-09-19 | 深圳市理邦精密仪器股份有限公司 | Custodial care facility and its method for displaying waveform, device |
| CN109640802A (en) * | 2016-12-01 | 2019-04-16 | 林世明 | With the dynamic measurement device for determining blood pressure function |
| WO2019011243A1 (en) * | 2017-07-13 | 2019-01-17 | 林世明 | Carotid physiological parameter monitoring system |
| US11375911B2 (en) | 2017-07-13 | 2022-07-05 | Shiming Lin | Carotid physiological parameter monitoring system |
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| C14 | Grant of patent or utility model | ||
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| ASS | Succession or assignment of patent right |
Owner name: SHANGHAI AIKANGFEI MEDICAL DEVICE TECHNOLOGY CO., Free format text: FORMER OWNER: SHANGHAI AIXUN MEDICAL EQUIPMENT CO., LTD. Effective date: 20100129 |
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| C41 | Transfer of patent application or patent right or utility model | ||
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Effective date of registration: 20100129 Address after: Shanghai City, Pudong New Area Ruiqinglu No. 528 building 20 B 6 floor, zip code: 201201 Patentee after: Shanghai Aikangfei Medical Instrument Technology Co., Ltd. Address before: Room 3, building 277, No. 2312-2316 zhe Qiao Road, Shanghai, Pudong New Area: 201206 Patentee before: Shanghai Aixun Medical Equipment Co., Ltd. |
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| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090401 Termination date: 20130711 |