CN111671403A - Method and system for detecting elasticity of blood vessel - Google Patents

Method and system for detecting elasticity of blood vessel Download PDF

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CN111671403A
CN111671403A CN201911325497.3A CN201911325497A CN111671403A CN 111671403 A CN111671403 A CN 111671403A CN 201911325497 A CN201911325497 A CN 201911325497A CN 111671403 A CN111671403 A CN 111671403A
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elasticity
coefficient
blood vessel
amplitude
vessel
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高明杰
汤青
宋臣
宿天赋
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Ennova Health Technology Co ltd
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    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/02007Evaluating blood vessel condition, e.g. elasticity, compliance
    • AHUMAN NECESSITIES
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    • AHUMAN NECESSITIES
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Abstract

The invention discloses a method and a system for detecting elasticity of blood vessels, and belongs to the technical field of data processing. Collecting a pulse wave signal of a target to be detected, and acquiring a pulse wave curve according to the pulse wave signal; determining characteristic parameters of a pulse wave curve, and determining a blood vessel elasticity coefficient and a blood vessel resistance coefficient according to the characteristic parameters; and determining the elasticity of the blood vessel according to the elasticity coefficient and the resistance coefficient of the blood vessel. The method is simple to operate, does not damage target people, and can reflect the blood vessel elasticity of the user relatively quickly and intuitively.

Description

Method and system for detecting elasticity of blood vessel
Technical Field
The present invention relates to the field of data processing technology, and more particularly, to a method and system for detecting vascular elasticity.
Background
Vascular elasticity, also known as "compliance," refers to the ability of the vessel wall to cushion, and is an intrinsic property of the arterial vessel wall. It is the best clinical index reflecting the function of artery buffering system and the function state of artery endothelium to some extent and may be affected by several factors. Detecting and improving vascular elasticity will help prevent and arrest the development of cardiovascular disease and its complications. As known from cardiovascular physiology and the human circulatory system, the heart intermittently shoots blood to the aorta through continuous pulsation (i.e., contraction and relaxation) and flows to the whole body through the arteries, so that arterial hypoelasticity is a comprehensive manifestation of early damage of a plurality of cardiovascular risk factors to the vascular wall, is an index of specificity and sensitivity of early vascular lesions, and is a high risk factor of cardiovascular diseases.
The current methods for evaluating vascular elasticity studies are mainly: angiography, nuclear magnetic resonance angiography, ultrasound techniques, and the like.
1) Angiography
Angiography is a new technology widely applied to clinical X-ray examination in the past 90 years, and is characterized in that an access artery is selected, a right femoral artery is generally selected, an artery sheath is placed through the right femoral artery, different catheters are selected through the artery sheath, an artery to be displayed is selected under the guidance of a guide wire, and an iodine-containing contrast agent is injected. The blood vessel track passed by the contrast agent is continuously photographed, and is used for realizing Digital Subtraction Angiography (DSA) of the blood vessel through electronic computer-aided imaging. Angiography can accurately and intuitively measure parameters of the elastic function of the blood vessels of different sections, and meanwhile, whether certain lesions exist in the blood vessels or not can be observed, such as porridge-like plaque formation. But its clinical application value is greatly limited due to its traumatic nature and high price.
2) Magnetic resonance angiography
The full name of nuclear magnetic resonance is nuclear Magnetic Resonance Imaging (MRI), which is a physical process that nuclei with non-zero magnetic moments undergo Zeeman splitting at a spin energy level under the action of an external magnetic field and resonate to absorb radio-frequency radiation with a certain frequency. Magnetic Resonance Angiography (MRA) is widely used in diagnosis of cerebrovascular diseases, and is widely used for examination of blood vessels of the head, neck, chest, abdomen, and limbs, and also for diagnosis of acute myocardial infarction, evaluation of sequelae of myocardial infarction, and observation after coronary artery bypass surgery.
3) Ultrasound technology
With the development of ultrasonic and Doppler technologies, the vascular morphology of superficial arteries such as carotid artery, brachial artery, radial artery and the like, the existence of plaque formation, the blood vessel pulsation condition in the cardiac cycle process can be intuitively and clearly observed by applying a high-resolution ultrasonic probe, and the change of arterial caliber and the blood flow velocity in blood vessels in the systolic period and the diastolic period can be accurately measured. By using the indexes, a plurality of indexes quantitatively measuring the elasticity of the blood vessel can be calculated, such as an artery expansibility coefficient, an artery compliance coefficient, a pulsatility index and the like.
At present, the means for clinically evaluating the elasticity of the blood vessels mainly comprise blood vessel ultrasound, artery angiography, magnetic resonance blood vessel imaging and the like, and the methods pay attention to morphological change. Although the methods of vascular ultrasound, magnetic resonance and the like can also obtain the functional status of artery elasticity by observing the change of artery lumen diameter in the systolic period and the diastolic period, and play an irreplaceable role in clinic, the changes detected by the methods are that the blood vessels with obvious organic lesions are in an irreversible damage state, so that the effect of the methods on preventing cardiovascular diseases is limited. Meanwhile, the examination has the characteristics of strong operation specificity, high price, invasiveness and the like, so that the examination is not suitable for screening the prompt arteriosclerosis in the population.
Disclosure of Invention
In view of the above problem, the present invention provides a method for detecting elasticity of a blood vessel, comprising:
acquiring a pulse wave signal of a target to be detected, and acquiring a pulse wave curve according to the pulse wave signal;
determining characteristic parameters of a pulse wave curve, and determining a blood vessel elasticity coefficient and a blood vessel resistance coefficient according to the characteristic parameters;
and determining the elasticity of the blood vessel according to the elasticity coefficient and the resistance coefficient of the blood vessel.
Optionally, the characteristic parameters include: dominant wave amplitude, counterpulsation wavefront amplitude, and infradian amplitude.
Optionally, the blood vessel elasticity coefficient is determined according to the following formula:
p1=k1c3/h1+a1
h1is the dominant wave amplitude, h3Is the amplitude, k, of the prepulse1Correcting the sum of coefficients for the elasticity of the vessela1The vessel elasticity correction constant is obtained.
Optionally, the vascular resistance coefficient is determined according to the following formula:
p2=k2h4/h1+a2
h4to lower the amplitude, k, of the central isthmus2Correcting the coefficient for vascular resistance and a2The constant is corrected for vascular resistance.
Optionally, the blood vessel elasticity coefficient and the blood vessel resistance coefficient are equally divided into four intervals.
The invention also proposes a system for detecting the elasticity of a blood vessel, comprising:
the acquisition module acquires a pulse wave signal of a target to be detected and acquires a pulse wave curve according to the pulse wave signal;
the analysis module is used for determining the characteristic parameters of the pulse wave curve and determining the blood vessel elasticity coefficient and the blood vessel resistance coefficient according to the characteristic parameters;
and the judging module is used for determining the elasticity of the blood vessel according to the elasticity coefficient and the resistance coefficient of the blood vessel.
Optionally, the characteristic parameters include: dominant wave amplitude, counterpulsation wavefront amplitude, and infradian amplitude.
Optionally, the blood vessel elasticity coefficient is determined according to the following formula:
p1=k1h3/h1+a1
h1is the dominant wave amplitude, h3Is the amplitude, k, of the prepulse1Correcting the coefficient for the elasticity of the vessel and a1The vessel elasticity correction constant is obtained.
Optionally, the vascular resistance coefficient is determined according to the following formula:
p2=k2h4/h1+a2
h4to lower the amplitude, k, of the central isthmus2Correcting the coefficient for vascular resistance and a2The constant is corrected for vascular resistance.
Optionally, the blood vessel elasticity coefficient and the blood vessel resistance coefficient are equally divided into four intervals.
The pulse wave signals are detected by a non-invasive means, the waveform of the pulse wave signals is subjected to time domain analysis, the elasticity coefficient and the resistance coefficient of the arterial blood vessel are obtained by further calculating the relevant characteristic values, the blood vessel hardness of a target population is judged according to the elasticity coefficient and the resistance coefficient, the potential risk of cardiovascular diseases is favorably predicted, and precious time is won for the prevention and treatment of the cardiovascular diseases.
The method is simple to operate, does not damage target people, and can reflect the blood vessel elasticity of the user relatively quickly and intuitively.
Drawings
FIG. 1 is a flow chart of a method for measuring vascular elasticity in accordance with the present invention;
FIG. 2 is a diagram of a pulse wave basic structure of a method for detecting elasticity of blood vessels according to the present invention;
FIG. 3a is a diagram of a pulse wave curve of a certain period of time in a method for detecting vascular elasticity according to the present invention;
FIG. 3b is a diagram of a pulse wave curve of a certain period of time in a method for detecting vascular elasticity according to the present invention;
fig. 4 is a block diagram of a system for measuring elasticity of a blood vessel according to the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the invention and to fully convey the scope of the invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
The invention proposes a method for detecting the elasticity of a blood vessel, as shown in fig. 1, comprising:
acquiring a pulse wave signal of a target to be detected, and acquiring a pulse wave curve according to the pulse wave signal;
determining characteristic parameters of a pulse wave curve, and determining a blood vessel elasticity coefficient and a blood vessel resistance coefficient according to the characteristic parameters;
and determining the elasticity of the blood vessel according to the elasticity coefficient and the resistance coefficient of the blood vessel.
Characteristic parameters including: dominant wave amplitude, counterpulsation wavefront amplitude, and infradian amplitude.
Determining the vascular elasticity coefficient according to the following formula:
p1=k1h3/h1+a1
h1is the dominant wave amplitude, h3Is the amplitude, k, of the prepulse1Correcting the coefficient for the elasticity of the vessel and a1The vessel elasticity correction constant is obtained.
Determining the vascular resistance coefficient according to the following formula:
p2=k2h4/h1+a2
h4to lower the amplitude, k, of the central isthmus2Correcting the coefficient for vascular resistance and a2The constant is corrected for vascular resistance.
The blood vessel elasticity coefficient and the blood vessel resistance coefficient are equally divided into four intervals as shown in table 1;
TABLE 1
Figure BDA0002328281010000051
The pulse waveform is the trace of the artery pulse and mainly integrates the heart blood ejection activity and various information carried by pulse waves in the process of propagating along blood vessels, so that curves and inflection points on a pulse diagram have certain significance.
The pulse graph interpretation method mainly comprises two types of time domain analysis and frequency domain analysis, the pulse condition acquisition device adopts a time domain analysis method, and the time domain analysis method mainly analyzes the relation between the height of the pulse wave amplitude and the pulse time phase.
The main content of the time domain analysis is to read parameters of the pulse pattern, such as the wave height (h) of the isthmus, the corresponding chronaxy (t), and the like, as shown in fig. 2, 1 is the main wave, 2 is the dicrotic wave, 3 is the descending isthmus and 4 is the dicrotic wave, and 1, 2, 3 and 4 are four main characteristic points of the pulse wave, and the fluctuation changes of the four main characteristic points reflect different physiological and pathological changes of the human body.
Pulse wave profiles for any two time periods, as shown in fig. 3a and 3 b:
h 1: the amplitude of the main wave is the height from the peak of the main wave to the baseline of the pulse wave chart (when the baseline is parallel to the time axis).
Mainly reflects the ejection function of the left ventricle and the compliance of the aorta, namely, the contraction force of the left ventricle is strong, and h1 is high under the condition of good compliance of the aorta, otherwise, the contraction force is small.
h2 amplitude of the dominant notch, the amplitude of a trough between the dominant and the prepulse waveform.
The physiological significance of the pulse is consistent with h3, and the pulse diagram analysis can be omitted.
h3 the amplitude of the pre-dicrotic wave, which is the height from the peak of the pre-dicrotic wave to the baseline of the pulse wave diagram. Mainly reflecting the elasticity and peripheral resistance of arterial vessels.
For example, the amplitude of h3 is increased when the tension of the artery wall is high, or the artery is hardened, or the peripheral resistance is increased. The elevation of the pulse wave is generally accompanied with the advance of the time phase, which reflects the increase of the conduction speed of the pulse reflection wave when the arterial vessel is in a high tension and high resistance state.
h4 the amplitude of the descending isthmus, which is the height from the bottom of the descending isthmus to the baseline of the pulse oscillogram.
The height of the descending isthmus mainly reflects the peripheral resistance of the arterial blood vessel, and when the peripheral resistance is increased, the h4 is increased; and vice versa.
h5 amplitude of the dicrotic wave, height between the baseline parallel lines from the top of the dicrotic wave to the bottom of the descending isthmus.
The dicrotic wave amplitude mainly reflects the elasticity (compliance) of the aorta and the aortic valve function, and when the compliance of the aorta is reduced, h5 is reduced, or when the aortic valve is hardened and the occlusion is not complete, h5 can be 0 (the peak top of the dicrotic wave is at the same level with the bottom of the descending isthmus), or even negative (the peak top of the dicrotic wave is lower than the bottom of the descending isthmus).
t1 is the time value from the start point of the pulse map to the main peak point.
t1 corresponds to the rapid ejection phase of the left ventricle.
t2 is the time between the start of the pulse pattern and the main channel.
t3 is the time value between the starting point of the pulse diagram and the wave before the dicrotic pulse.
t4 is the time between the starting point of the pulse diagram and the descending isthmus.
t4 corresponds to the systolic phase of the left ventricle.
t5 is the time between the descent of the isthmus and the termination of the pulse pattern.
t5 corresponds to the diastolic phase of the left ventricle.
t is the time value from the starting point to the ending point of the pulse diagram.
Corresponding to one cardiac cycle of the left ventricle, also known as the pulsatile cycle. But when atrial fibrillation, or extrasystole, the pulse pattern does not coincide exactly with the cardiac cycle of the electrocardiogram.
A system 200 for measuring elasticity of a blood vessel of the present invention, as shown in FIG. 4, includes:
the acquisition module 201 acquires a pulse wave signal of a target to be detected and acquires a pulse wave curve according to the pulse wave signal;
the analysis module 202 determines characteristic parameters of a pulse wave curve and determines a blood vessel elasticity coefficient and a blood vessel resistance coefficient according to the characteristic parameters;
the decision module 203 determines the elasticity of the blood vessel according to the elasticity coefficient and the resistance coefficient of the blood vessel.
Characteristic parameters including: dominant wave amplitude, counterpulsation wavefront amplitude, and infradian amplitude.
Determining the vascular elasticity coefficient according to the following formula:
p1=k1h3/h1+a1
h1is the dominant wave amplitude, h3Is the amplitude, k, of the prepulse1Correcting the coefficient for the elasticity of the vessel and a1The vessel elasticity correction constant is obtained.
Determining the vascular resistance coefficient according to the following formula:
p2=k2h4/h1+a2
h4to lower the amplitude, k, of the central isthmus2Correcting the coefficient for vascular resistance and a2The constant is corrected for vascular resistance.
The blood vessel elasticity coefficient and the blood vessel resistance coefficient are divided into four sections.
The pulse wave signals are detected by a non-invasive means, the waveform of the pulse wave signals is subjected to time domain analysis, the elasticity coefficient and the resistance coefficient of the arterial blood vessel are obtained by further calculating the relevant characteristic values, the blood vessel hardness of a target population is judged according to the elasticity coefficient and the resistance coefficient, the potential risk of cardiovascular diseases is favorably predicted, and precious time is won for the prevention and treatment of the cardiovascular diseases.
The method is simple to operate, does not damage target people, and can reflect the blood vessel elasticity of the user relatively quickly and intuitively.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above examples are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above examples, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (10)

1. A method for detecting elasticity of a blood vessel, the method comprising:
acquiring a pulse wave signal of a target to be detected, and acquiring a pulse wave curve according to the pulse wave signal;
determining characteristic parameters of a pulse wave curve, and determining a blood vessel elasticity coefficient and a blood vessel resistance coefficient according to the characteristic parameters;
and determining the elasticity of the blood vessel according to the elasticity coefficient and the resistance coefficient of the blood vessel.
2. The method of claim 1, the feature parameters, comprising: dominant wave amplitude, counterpulsation wavefront amplitude, and infradian amplitude.
3. The method of claim 1, wherein the vessel elastic coefficient is determined according to the following formula:
p1=k1h3/h1+a1
h1is the dominant wave amplitude, h3Is the amplitude, k, of the prepulse1Correcting the coefficient for the elasticity of the vessel and a1The vessel elasticity correction constant.
4. The method of claim 1, the vascular resistance coefficient being determined according to the formula:
p2=k2h4/h1+a2
h4to lower the amplitude, k, of the central isthmus2Correcting the coefficient for vascular resistance and a2The constant is corrected for vascular resistance.
5. The method of claim 1 wherein said vessel elasticity coefficient and said vessel resistance coefficient are each divided into four intervals.
6. A system for detecting elasticity of a blood vessel, the system comprising:
the acquisition module acquires a pulse wave signal of a target to be detected and acquires a pulse wave curve according to the pulse wave signal;
the analysis module is used for determining the characteristic parameters of the pulse wave curve and determining the blood vessel elasticity coefficient and the blood vessel resistance coefficient according to the characteristic parameters;
and the judging module is used for determining the elasticity of the blood vessel according to the elasticity coefficient and the resistance coefficient of the blood vessel.
7. The system of claim 6, the characteristic parameters comprising: dominant wave amplitude, counterpulsation wavefront amplitude, and infradian amplitude.
8. The system of claim 6, the vessel elastic coefficient is determined according to the following equation:
p1=k1h3/h1+a1
h1is the dominant wave amplitude, h3Is the amplitude, k, of the prepulse1Correcting the coefficient for the elasticity of the vessel and a1The vessel elasticity correction constant.
9. The system of claim 6, the vascular resistance coefficient being determined according to the formula:
p2=k2h4/h1+a2
h4to lower the amplitude, k, of the central isthmus2Correcting the coefficient for vascular resistance and a2The constant is corrected for vascular resistance.
10. The system of claim 6, wherein the vessel elasticity coefficient and the vessel resistance coefficient are each divided into four intervals.
CN201911325497.3A 2019-12-20 2019-12-20 Method and system for detecting elasticity of blood vessel Pending CN111671403A (en)

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Publication number Priority date Publication date Assignee Title
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Application publication date: 20200918