CN108652614B - A kind of cardiovascular disease condition assessment method and system - Google Patents
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Abstract
The invention discloses a kind of cardiovascular disease condition assessment method and system, by obtaining electrocardiosignal, and the characteristic index of the corresponding electrocardiosignal of acquisition, and obtain the characteristic index of electrocardiosignal and the pattern function of cardiovascular disease state of an illness corresponding relationship；By obtaining electrocardiosignal, calculating and obtaining cardiovascular disease condition assessment result by the pattern function according to the characteristic index of electrocardiosignal.System also available multiple electrocardiosignals obtain multiple cardiovascular disease condition assessments as a result, these results are recorded and analyzed, and obtain cardiovascular disease progression of the disease trend evaluation as a result, daily state of illness monitoring and control for cardiovascular patient.Compared with prior art, the present invention can assess the cardiovascular disease state of an illness and development trend by non-invasive methods, and user experience is good, at low cost, easy to operate, realize control progression of the disease convenient for cardiovascular patient, even delay the target of progression of the disease.
Description
Technical field
The present invention relates to cardiovascular disease condition assessment methods, and in particular to a kind of cardiovascular disease condition assessment method and
System.
Background technique
Cardiovascular disease, also referred to as cardiovascular and cerebrovascular disease.According to " Chinese cardiovascular disease report 2016 " summary, cardiovascular disease
The death rate ranks first, and is higher than tumour and other diseases.Since cardiovascular disease and life style are closely related, drug therapy and non-
Drug therapy must carry out simultaneously.Unless being in a bad way, most time patient is in community and family.
The health control intervening measure of cardiovascular patient mainly includes be hospitalized for treatment intervention, community nursing intervention at present
Intervene with self.Since rare by medical resource and medical expense is limited, the non-self method for intervening management is not accomplished
Continuously, in time with it is convenient.Therefore, whether patient removes the risk factor of regular admission examination related cardiovascular disease, target organ
It is damaged, it is also necessary to it is a kind of continuous, timely, convenient and safely and effectively monitoring means understands change of illness state trend, it carries out just
The self-assessment of step, timely seeking medical attention, to achieve the purpose that cardiovascular patient self-management.
Summary of the invention
The present invention solves the technical problem of be hospitalized for treatment intervention at present and community nursing intervention cannot achieve painstaking effort
The needs of the daily state of an illness self-assessment of pipe Disease, i.e., cannot timely, convenient, easy-operating self state of illness monitoring of progress and pipe
Reason.
In order to solve the above technical problems, the present invention proposes a kind of cardiovascular disease condition assessment method, comprising: obtain electrocardio
Signal；According to the electrocardiosignal, corresponding cardiovascular disease condition assessment result is obtained.
On the other hand, the present invention also proposes a kind of cardiovascular disease condition assessment system, comprising: ecg signal acquiring dress
It sets, for acquiring the electrocardiosignal of person to be detected；Processor, for executing method as described above.
On the other hand, the present invention also proposes a kind of computer readable storage medium, including program, and described program can be located
Device is managed to execute to realize method as described above.
A kind of cardiovascular disease condition assessment method and system that the present invention uses noninvasive can be commented compared with prior art
Estimate the cardiovascular disease state of an illness and development trend, user experience is good, at low cost, easy to operate, realizes control convenient for cardiovascular patient
Progression of the disease processed even delays the target of progression of the disease.
Detailed description of the invention
Fig. 1 is a kind of cardiovascular disease condition assessment system schematic；
Fig. 2 is a kind of cardiovascular disease condition assessment method flow diagram；
Fig. 3 is a kind of characteristic index of electrocardiosignal and the pattern function method for building up of cardiovascular disease state of an illness corresponding relationship
Flow chart.
Specific embodiment
Below by specific embodiment combination attached drawing, invention is further described in detail.Wherein different embodiments
Middle similar component uses associated similar element numbers.In the following embodiments, many datail descriptions be in order to
The application is better understood.However, those skilled in the art can recognize without lifting an eyebrow, part of feature
It is dispensed, or can be substituted by other elements, material, method in varied situations.In some cases, this Shen
Please it is relevant it is some operation there is no in the description show or describe, this is the core in order to avoid the application by mistake
More descriptions are flooded, and to those skilled in the art, these relevant operations, which are described in detail, not to be necessary, they
Relevant operation can be completely understood according to the general technology knowledge of description and this field in specification.
It is formed respectively in addition, feature described in this description, operation or feature can combine in any suitable way
Kind embodiment.Meanwhile each step in method description or movement can also can be aobvious and easy according to those skilled in the art institute
The mode carry out sequence exchange or adjustment seen.Therefore, the various sequences in the description and the appended drawings are intended merely to clearly describe a certain
A embodiment is not meant to be necessary sequence, and wherein some sequentially must comply with unless otherwise indicated.
It is herein component institute serialization number itself, such as " first ", " second " etc., is only used for distinguishing described object,
Without any sequence or art-recognized meanings.And " connection ", " connection " described in the application, unless otherwise instructed, include directly and
It is indirectly connected with (connection).
The embodiment of the present invention one: please referring to Fig. 1, and a kind of cardiovascular disease condition assessment system includes:
Electrocardiogram signal acquisition device A00: for acquiring the electrocardiosignal of person to be detected；
Processor A01: for the electrocardiosignal according to acquisition, corresponding cardiovascular disease condition assessment result is obtained.Separately
On the one hand, for processor A01 according to electrocardiosignal, obtaining corresponding cardiovascular disease condition assessment result includes: to be believed according to electrocardio
Number, the one or more features index of electrocardiosignal is calculated, according to the characteristic index of electrocardiosignal, obtains corresponding cardiovascular disease
Sick condition assessment result.In addition, processor A01 can pre-establish the characteristic index and the cardiovascular disease state of an illness pair of electrocardiosignal
The characteristic index input model function of electrocardiosignal is obtained the corresponding cardiovascular disease state of an illness and commented by the pattern function that should be related to
Estimate result.Processor A10 passes through the physiological parameter for obtaining different state of an illness stage cardiovascular patients in advance, and described in acquisition
Electrocardiosignal when physiological parameter before corresponding time point；Obtain the characteristic index of these electrocardiosignals；These electrocardios are believed
Number the corresponding physiological parameter of characteristic index and these electrocardiosignals as input, carry out machine learning, obtain electrocardiosignal
Characteristic index and cardiovascular disease state of an illness corresponding relationship pattern function.Processor A10 can also be according to acquisition multiple times
The electrocardiosignal of point obtains the cardiovascular disease condition assessment at corresponding multiple time points as a result, remembering to these assessment results
Record and analysis, for assessing cardiovascular disease progression of the disease trend.
Wherein, processor A10 is based on electrocardiosignal and obtains corresponding cardiovascular disease condition assessment as a result, being based primarily upon the heart
The RR intervening sequence of electric signal, the interval RR refer to the time interval between the peak R and the peak R adjacent in electro-cardiologic signal waveforms,
RR intervening sequence includes all intervals RR in one section of electrocardiosignal.
In one embodiment, processor A10 calculates characteristic index by electrocardiosignal, comprising: to the pRRx of electrocardiosignal
Sequence carries out linear analysis to obtain one or more linear characteristic indexs, and/or carries out nonlinear analysis, to obtain one
Or multiple nonlinear characteristic indexs.Wherein the pRRx sequence of any one section of electrocardiosignal is calculated in the following manner: meter
The ratio for calculating quantity of the difference greater than threshold value x milliseconds of adjacent R R interphase in this section of electrocardiosignal and the quantity of whole RR interphase, leads to
The different threshold value x of setting value is crossed, the corresponding ratio of each threshold value x is obtained, these ratios constitute the pRRx sequence.At this
In embodiment, which is expressed as a percentage, as shown in formula (1):
Carry out linear analysis and/or nonlinear analysis according to the pRRx sequence of the electrocardiosignal, available one or
Multiple characteristic indexs.
For example, the characteristic index that linear analysis obtains may include: the standard of mean value AVRR, the pRRx sequence of pRRx sequence
In poor SDRR, pRRx sequence in root mean square rMSSD, pRRx sequence of adjacent pRRx difference adjacent pRRx difference standard deviation
SDSD。
Nonlinear analysis is carried out to the pRRx sequence of every section of electrocardiosignal, using Entropy Analysis Method, it may be assumed that according to existing skill
Art, for the stochastic variable collection A of probability-distribution function p (x), shown in the definition of entropy such as formula (2):
H (A)=- ∑ pA(x)logpA(x) (2)
The characteristic index that can be obtained includes:
(1) pRRx sequence histogram distributed intelligence entropy SdhIt is the numeric distribution comentropy to pRRx sequence；
(2) pRRx sequence power composes histogram distributed intelligence entropy SphIt is to carry out discrete Fourier transform to pRRx sequence to obtain function
Rate spectrum, then calculates its comentropy according to the numeric distribution of power spectrum sequence；
(3) pRRx sequence power composes full frequency band distributed intelligence entropy SpfIt is to carry out discrete Fourier transform to pRRx sequence to obtain
Power spectrum, in full frequency band [fs/N,fs/ 2] (sample frequency of signal is fs, sampling number N) and i-1 branch f of interior insertion1,
f2..., fm-1, full frequency band is divided into i frequency sub-band.Using the sum of power density in each frequency range as the power of the frequency range
Density then obtains m power density.This i power density is normalized to obtain the Probability p of each frequency range appearancei, then ∑ipi=
1, shown in corresponding power spectrum full frequency band entropy such as formula (3):
Nonlinear analysis is carried out to the pRRx sequence of every section of electrocardiosignal, can also be calculated using following four kinds of fractal dimensions
The available following characteristic index of analysis method:
(1) structure function method calculates resulting fractal dimension Dsf, wherein structure function method refers to for given sequence z
(x), defining increment variance is structure function, relationship are as follows:
For several scales τ, corresponding S (τ) is calculated to the discrete value of sequence z (x), then draws logS (τ)-
The function curve of log τ carries out linear fit in non-scaling section, obtains slope, then correspond to fractal dimension DsfWith the conversion of slope
Shown in relationship such as formula (5):
(2) correlation function algorithm calculates resulting fractal dimension Dcf, wherein correlation function algorithm refers to for given sequence z
(x), correlation function C (τ) is defined as shown in formula (6):
C (τ)=AVE (z (x+ τ) * z (x)), τ=1,2,3 ..., N-1 (6)
Wherein, AVE () indicates average, and τ indicates two o'clock distance.Correlation function is power type at this time, since there is no feature
Length is then distributed as a point shape, there is C (τ) α τ-α.At this moment, the function curve for drawing logC (τ)-log τ carries out line in non-scaling section
Property fitting, obtain slope, then correspond to fractal dimension DcfShown in transforming relationship such as formula (7) with slope:
Dcf=2- α (7)
(3) variate-difference method calculates resulting fractal dimension Dvm, wherein the rectangle frame that variate-difference method is τ with width is end to end to incite somebody to action
Fractal curve covers, and the difference of the maximum value and minimum value that enable i-th of frame inner curve is H (i), the as height of rectangle.It will
The height and width of all rectangles are multiplied to obtain gross area S (τ).The size for changing τ, obtains a series of S (τ).As shown in formula (8):
The function curve for drawing logN (τ)-log τ carries out linear fit in non-scaling section and obtains slope, then correspondence divides shape
Dimension DvmShown in transforming relationship such as formula (7) with slope.
(4) mean square root method calculates resulting fractal dimension Drms, wherein mean square root method with width be τ rectangle frame it is end to end
Fractal curve is covered, the difference of the maximum value and minimum value that enable i-th of frame inner curve is H (i), the as height of rectangle
Degree.Calculate the root-mean-square value S (τ) of these rectangular elevations.The size for changing τ, obtains a series of S (τ).Draw logS (τ)-
The function curve of log τ carries out linear fit in non-scaling section and obtains slope, then corresponds to fractal dimension DrmsWith the conversion of slope
Shown in relationship such as formula (7).
Electrocardiosignal characteristic index for carrying out cardiovascular disease condition assessment result is above-mentioned linear and/or non-linear
One in obtained characteristic index, multiple, or wherein several set are analyzed, is also possible to be enumerated except the present embodiment
Except the obtained individual features index of existing analysis method.
Input unit A02: being connected with processor signal, for receiving the input information of user.
Shell A03: the shell is enclosed accommodating chamber, and processor A01 and input unit A02 are at least partly contained in
In the accommodating chamber of shell A03, the shell A03 is equipped with a display area.
Display device A04: it is connected with display area and processor A01 signal, and according to input unit A02 and processor
The instruction of A01 shows the cardiovascular disease state of an illness and/or cardiovascular disease state of an illness trend evaluation result.
Memory A05: being connected with processor A01 signal, for storing program, cardiovascular disease condition assessment result and the heart
Vascular diseases state of an illness trend evaluation result.
In one embodiment, cardiovascular disease usually with the age, gender, blood lipid, hypertension, diabetes, obesity, do not live
The heredity such as dynamic, smoking, diet is related with life style.Specifically in the present embodiment, patient can be filled by ecg signal acquiring
It sets A00 and acquires electrocardiosignal in different time, by A01 processor and A05 memory, complete the cardiovascular disease at corresponding time point
Sick condition assessment result and record pass through input unit A02 to carry out the trend evaluation of patient's cardiovascular disease progression of the disease
Patient instruction is received, under the support of display device A04, as obtained by the convenient accurately acquisition in the display area on shell A03
Cardiovascular disease condition assessment as a result, and corresponding cardiovascular disease progression of the disease trend evaluation result.The result can be with
Self health control is carried out for cardiovascular patient, comprising: discusses individuation cardiovascular disease state of an illness control fully with doctor
Target processed；Look back daily cardiovascular disease state of illness monitoring and trend result jointly with doctor；Day is explained and exchanged together with doctor
The normal cardiovascular disease state of an illness；Actively change daily life behavior according to the cardiovascular disease state of an illness and physician feedback, to realize control
Cardiovascular disease progression of the disease processed, even delays the target of progression of the disease.
In the present embodiment, processor A10 uses a kind of cardiovascular disease condition assessment method shown in Fig. 2, the party
Method is at low cost, safe and effective, specifically includes B00 step~B10 step, is specifically described below:
B00: the electrocardiosignal of multiple periods is obtained.
B10: according to the electrocardiosignal, corresponding cardiovascular disease condition assessment result is obtained.
In one embodiment, step B10 includes: according to electrocardiosignal, and the one or more features for calculating electrocardiosignal refer to
Mark, according to the characteristic index of electrocardiosignal, obtains corresponding cardiovascular disease condition assessment result.Wherein, the spy of electrocardiosignal
The calculation method for levying index and cardiovascular disease condition assessment result is as described above.
In one embodiment, step B10 is obtaining the corresponding cardiovascular disease state of an illness according to the characteristic index of electrocardiosignal
When assessment result, the characteristic index of electrocardiosignal and the pattern function of cardiovascular disease state of an illness corresponding relationship can be pre-established,
By the characteristic index input model function of electrocardiosignal, corresponding cardiovascular disease condition assessment result is obtained.For example, B10 step
Can be by machine learning, the characteristic index of Lai Jianli electrocardiosignal and the pattern function of cardiovascular disease state of an illness corresponding relationship,
Shown in referring to figure 3..
As shown in figure 3, B10 step establishes above-mentioned pattern function, it may include B11~B13 step, be specifically described below.
B11: the physiological parameter of different state of an illness stage cardiovascular patients, and the acquisition physiological parameter are obtained in advance
When corresponding time point before electrocardiosignal.Wherein, the life for obtaining different state of an illness stage cardiovascular patients in advance
Parameter is managed, such as: age, gender, cardiovascular disease family history, blood glucose, body mass index, blood pressure, routine urinalysis, blood potassium, blood red egg
White, blood routine, serum creatinine, blood lipid, uric acid, hemodynamic monitoring result, echocardiogram or carotid ultrasound, urine egg
White, rabat, electrocardiogram, eyeground, smoking history, intracardiac electrophysiology inspection result, Coronary Angiography, disease type, the stage,
Complication quantity and severity etc.；The method that physiological parameter is obtained described in the step can use to be commonly used in the prior art
, the method that precision is high, meanwhile, the acquisition of corresponding each physiological parameter, before needing to acquire physiological parameter time point
Corresponding electrocardiosignal, since individual metabolic situation has differences, electrocardiosignal time span needed for each sampler
It is not identical, it is subject to practical modeling effect, the present embodiment chooses the electrocardiosignal of 1~30 minute different time length.
B12: the characteristic index of these electrocardiosignals is obtained.
B13: using the characteristic index of these electrocardiosignals and the corresponding physiological parameter of these electrocardiosignals as input,
Machine learning is carried out, the characteristic index of electrocardiosignal and the pattern function of cardiovascular disease state of an illness corresponding relationship are obtained.
The characteristic index of electrocardiosignal and the pattern function of cardiovascular disease state of an illness corresponding relationship are obtained according to above-mentioned steps
Afterwards, then by the electrocardiosignal of person to be detected acquired in B00 step the pattern function is inputted, the cardiovascular disease state of an illness can be obtained and comment
Estimate result.
In one embodiment, same patient can also be obtained according to the above method in the cardiovascular disease disease at multiple time points
Feelings assessment result can carry out charting and further analysis, obtain commenting for patient's cardiovascular disease progression of the disease trend
Estimate result.
It will be understood by those skilled in the art that all or part of function of various methods can pass through in above embodiment
The mode of hardware is realized, can also be realized by way of computer program.When function all or part of in above embodiment
When being realized by way of computer program, which be can be stored in a computer readable storage medium, and storage medium can
To include: read-only memory, random access memory, disk, CD, hard disk etc., it is above-mentioned to realize which is executed by computer
Function.For example, program is stored in the memory of equipment, when executing program in memory by processor, can be realized
State all or part of function.In addition, when function all or part of in above embodiment is realized by way of computer program
When, which also can store in storage mediums such as server, another computer, disk, CD, flash disk or mobile hard disks
In, through downloading or copying and saving into the memory of local device, or version updating is carried out to the system of local device, when logical
When crossing the program in processor execution memory, all or part of function in above embodiment can be realized.
Use above specific case is illustrated the present invention, is merely used to help understand the present invention, not to limit
The system present invention.For those skilled in the art, according to the thought of the present invention, can also make several simple
It deduces, deform or replaces.
Claims (11)
1. a kind of cardiovascular disease condition assessment system characterized by comprising
Electrocardiogram signal acquisition device, for acquiring the electrocardiosignal of person to be detected；
Processor, for calculating the pRRx sequence of any one section of electrocardiosignal: calculate in this section of electrocardiosignal adjacent R R interphase it
The ratio of the quantity of quantity of the difference greater than threshold value x milliseconds and whole RR interphase is obtained each by the different threshold value x of setting value
The corresponding ratio of a threshold value x, these ratios constitute the pRRx sequence；
The processor is also used to carry out linear analysis to the pRRx sequence of electrocardiosignal to obtain one or more linear spies
Index is levied, and/or carries out nonlinear analysis, to obtain one or more nonlinear characteristic indexs；According to the spy of electrocardiosignal
Index is levied, corresponding cardiovascular disease condition assessment result is obtained.
2. system as described in claim 1, which is characterized in that
The characteristic index that the linear analysis obtains include: mean value AVRR, the pRRx sequence of pRRx sequence standard deviation SDRR,
In pRRx sequence in root mean square rMSSD, pRRx sequence of adjacent pRRx difference in the standard deviation SDSD of adjacent pRRx difference extremely
Few one；And/or
The nonlinear characteristic index includes that the obtained characteristic index of Entropy Analysis Method, packet are carried out to the pRRx sequence
It includes: pRRx sequence histogram distributed intelligence entropy Sdh, pRRx sequence power compose histogram distributed intelligence entropy Sph, pRRx sequence power spectrum it is complete
Frequency range distributed intelligence entropy SpfAt least one of；And/or the nonlinear characteristic index includes that the pRRx sequence is divided
Shape dimension, which calculates, analyzes obtained characteristic index, comprising: structure function method calculates resulting fractal dimension Dsf, correlation function algorithm
Calculate resulting fractal dimension Dcf, variate-difference method calculate resulting fractal dimension Dvm, mean square root method calculate resulting fractal dimension
DrmsAt least one of.
3. system as described in claim 1, which is characterized in that
The processor is also used to pre-establish the characteristic index of electrocardiosignal and the model of cardiovascular disease state of an illness corresponding relationship
Function, so that by the characteristic index input model function of electrocardiosignal, available corresponding cardiovascular disease condition assessment knot
Fruit.
4. system as claimed in claim 3, which is characterized in that
The processor is also used to pre-establish the characteristic index of electrocardiosignal and the model of cardiovascular disease state of an illness corresponding relationship
Function includes:
The processor obtains the physiological parameter of different state of an illness stage cardiovascular patients, and the acquisition physiology ginseng in advance
Electrocardiosignal when number before corresponding time point；
The processor obtains the characteristic index of these electrocardiosignals；
The processor is using the characteristic index of these electrocardiosignals and the corresponding physiological parameter of these electrocardiosignals as defeated
Enter, carries out machine learning, obtain the characteristic index of electrocardiosignal and the pattern function of cardiovascular disease state of an illness corresponding relationship.
5. system as described in claim 1, which is characterized in that
The processor is also used to the electrocardiosignal according to multiple time points, obtains the cardiovascular disease disease at corresponding multiple time points
Feelings assessment result is recorded and is analyzed to these assessment results, for assessing cardiovascular disease progression of the disease trend.
6. the system as described in claim any one of 1-5, which is characterized in that further include:
Input unit is connected with processor signal, for receiving the input information of user；
Shell, the shell are enclosed accommodating chamber, and processor and input unit are at least partly contained in the accommodating chamber of shell
In, the shell is equipped with a display area；
Display device is connected with display area and processor signal, and will be cardiovascular according to the instruction of input unit and processor
Disease condition and/or cardiovascular disease state of an illness trend evaluation result are sent to display area and are shown；
Memory is connected with processor signal, for storing program, cardiovascular disease condition assessment result and cardiovascular disease disease
Feelings trend evaluation result.
7. a kind of computer readable storage medium, which is characterized in that including program, described program can be executed by processor with reality
It is existing:
Acquire the electrocardiosignal of person to be detected；
Calculate the pRRx sequence of any one section of electrocardiosignal: the difference for calculating adjacent R R interphase in this section of electrocardiosignal is greater than threshold value x
It is corresponding to obtain each threshold value x by the different threshold value x of setting value for the ratio of the quantity of the quantity and whole RR interphase of millisecond
Ratio, these ratios constitute the pRRx sequence；
Linear analysis is carried out to the pRRx sequence of electrocardiosignal to obtain one or more linear characteristic indexs, and/or is carried out
Nonlinear analysis, to obtain one or more nonlinear characteristic indexs；According to the characteristic index of electrocardiosignal, obtain corresponding
Cardiovascular disease condition assessment result.
8. storage medium as claimed in claim 7, which is characterized in that
The characteristic index that the linear analysis obtains include: mean value AVRR, the pRRx sequence of pRRx sequence standard deviation SDRR,
In pRRx sequence in root mean square rMSSD, pRRx sequence of adjacent pRRx difference in the standard deviation SDSD of adjacent pRRx difference extremely
Few one；And/or
The nonlinear characteristic index includes that the obtained characteristic index of Entropy Analysis Method, packet are carried out to the pRRx sequence
It includes: pRRx sequence histogram distributed intelligence entropy Sdh, pRRx sequence power compose histogram distributed intelligence entropy Sph, pRRx sequence power spectrum it is complete
Frequency range distributed intelligence entropy SpfAt least one of；And/or the nonlinear characteristic index includes that the pRRx sequence is divided
Shape dimension, which calculates, analyzes obtained characteristic index, comprising: structure function method calculates resulting fractal dimension Dsf, correlation function algorithm
Calculate resulting fractal dimension Dcf, variate-difference method calculate resulting fractal dimension Dvm, mean square root method calculate resulting fractal dimension
DrmsAt least one of.
9. storage medium as claimed in claim 7, which is characterized in that
Described program can also be executed by processor to realize: pre-establish the characteristic index and cardiovascular disease disease of electrocardiosignal
The pattern function of feelings corresponding relationship, so that by the characteristic index input model function of electrocardiosignal, available corresponding painstaking effort
Pipe disease condition assessment result.
10. storage medium as claimed in claim 9, which is characterized in that
The characteristic index for pre-establishing electrocardiosignal and the pattern function of cardiovascular disease state of an illness corresponding relationship include:
The processor obtains the physiological parameter of different state of an illness stage cardiovascular patients, and the acquisition physiology ginseng in advance
Electrocardiosignal when number before corresponding time point；
The processor obtains the characteristic index of these electrocardiosignals；
The processor is using the characteristic index of these electrocardiosignals and the corresponding physiological parameter of these electrocardiosignals as defeated
Enter, carries out machine learning, obtain the characteristic index of electrocardiosignal and the pattern function of cardiovascular disease state of an illness corresponding relationship.
11. storage medium as claimed in claim 7, which is characterized in that
Described program can also be executed by processor to realize: according to the electrocardiosignal at multiple time points, when obtaining corresponding multiple
Between the cardiovascular disease condition assessment put as a result, these assessment results are recorded and are analyzed, for assessing cardiovascular disease
Progression of the disease trend.
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| CN109875547A (en) * | 2019-02-19 | 2019-06-14 | 鄂东医疗集团市中心医院 | A kind of intelligence Internal Medicine-Cardiovascular Dept. nursing monitoring system and method |
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