CN107960990A - A kind of wearable cardiovascular and cerebrovascular disease intelligent monitor system and method - Google Patents
A kind of wearable cardiovascular and cerebrovascular disease intelligent monitor system and method Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, 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
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, 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
- A61B5/021—Measuring pressure in heart or blood vessels
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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Abstract
The invention discloses a kind of wearable cardiovascular and cerebrovascular disease intelligent monitor system and method, including sequentially connected signal detection module, signal transmission module, high in the clouds intelligent expert system and client, wherein：Signal detection module, for gathering pulse wave, blood pressure ripple, electrocardiogram, caardiophonogram and ballistocardiography signal and handling；Signal transmission module, for the monitoring signals after signal detection module acquisition process to be wirelessly transmitted to high in the clouds intelligent expert system；High in the clouds intelligent expert system, for the cloud server system based on CNN depth networks, for quantitative forecast cardiovascular and cerebrovascular disease；Client, for showing the cardiovascular and cerebrovascular disease result predicted.The present invention integrates application by continuous data acquisition and big data, the loop parameter in body part region and the quantitative assessment of cardiovascular and cerebrovascular disease can be provided, early warning, therapeutic evaluation and Fungicide screning to Patients with Cardiovascular/Cerebrovascular Diseases etc. are respectively provided with significance.
Description
Technical field
The present invention relates to disease surveillance technical field, more particularly to a kind of wearable cardiovascular and cerebrovascular disease intelligent monitor system
And method.
Background technology
At present, including person in middle and old age's cardiovascular and cerebrovascular disease such as myocardial infarction, angina pectoris, atherosclerosis, coronary heart disease, cerebral thrombus
The incidence of disease and lethality of disabling have been occupied first of various diseases, become the first killer of middle-aged and elderly people.Delay physiological aging process
Generation with cardiovascular and cerebrovascular disease should aim at prevention, and very crucial effect will be played by monitoring.
With the development of medical device industry, aid in the portable detection equipment of cardiovascular and cerebrovascular disease various in style, but the heart
The accident of cranial vascular disease still happens occasionally.Its main cause is that disease incubation period is asymptomatic, it is difficult to find, cannot and
When treat.Lacking one kind being capable of the effective cardiovascular and cerebrovascular disease early detection method of dynamic in real time.
Currently, the primary limitation of existing portable cardiovascular and cerebrovascular disease monitoring device is on domestic and international market：
1. static detection.The wearable detection device of in the market is all to use static detection mode, i.e., by a series of dynamic changes
Information is simply subject to indexing, certainly will lose useful information.Such as：Measure blood pressure when gather be only systole phase high pressure and
The information at two time points of diastole low pressure, and in fact, working as ventricular contraction（Diastole）When, aortic pressure increase（Decline）, its
Increase（Decline）Process and ventricular pump blood ability, that valve opens the factors such as situation, the elasticity of blood vessel, embolism degree is related.Pass
System replaces arteries assessment during ventricular contraction to lose many useful informations only with systole phase peak；For arteries and veins
Wave analysis of fighting is also as a same reason.
2. single detection.Ripe wearing mancarried device is substantially single-measurement currently on the market, i.e., can only be to a certain
Aspect situation is evaluated.Such as：Single detection only is carried out to physiological parameters such as heart rate, blood pressures.Even if there are two or more ginsengs
The device of number measurement, and respectively into the calculating of row index, the equipment that these information can not be carried out to effective integration.
3. the transformation of scientific and technical result lags.Hardware and algorithm are limited in the past, and many physiological parameters stop at scientific research, not
It can be applied on product.Such as：In the market is to cardiac monitoring mainly using the electrocardiosignal of reaction cardiac electrophysiology, and energy
Cardiac mechanics performance is assessed, the ballistocardiography of reaction cardiac mechanical movement is not also in all products.It is importantly, clinical
Research is early to have shown that the factors such as bilateral difference of blood pressure and testee's age, vascular diseases are related, but there has been no a equipment at present
In view of the factor.
The physiological parameters such as electrocardio, heart sound, multiple location blood pressure provide information from different aspect for cardiovascular and cerebrovascular disease situation, it
Have the benefit and limitation of its own.If can have complementary advantages, body various aspects effective information is comprehensively utilized, will be obtained
Cardiovascular and cerebrovascular disease early diagnoses and the solution of prevention.
The content of the invention
In view of the drawbacks described above of the prior art, the technical problems to be solved by the invention are to provide a kind of wearable heart and brain
Vascular diseases intelligent monitor system and method, the development based on current hardware and intelligent big data algorithm, to electrocardio, heart sound, the heart
Impact the physiology big data such as figure, continuous blood pressure ripple, pulse wave and carry out information fusion, realize community's middle-aged and elderly people's cardiovascular and cerebrovascular disease
Primary dcreening operation and prediction.
To achieve the above object, the present invention provides a kind of wearable cardiovascular and cerebrovascular disease intelligent monitor system, including letter
Number detection module, signal transmission module, high in the clouds intelligent expert system and client, the signal detection module, signal transmission mould
Block, high in the clouds intelligent expert system and client are sequentially connected, wherein：
Signal detection module, for gathering pulse wave, blood pressure ripple, electrocardiogram, caardiophonogram and ballistocardiography signal and handling；
Signal transmission module, for by the pulse wave after signal detection module acquisition process, blood pressure ripple, electrocardiogram, caardiophonogram and
Ballistocardiography signal is wirelessly transmitted to high in the clouds intelligent expert system；
High in the clouds intelligent expert system, for the cloud server system based on CNN depth networks, for quantitative forecast cardiovascular and cerebrovascular disease
Disease；
Client, for showing the cardiovascular and cerebrovascular disease result predicted.
Further, the signal detection module includes pulse wave/blood pressure module, ECG detecting module, heart sound detection mould
Block, heart impulse detection module and with pulse wave/blood pressure module, ECG detecting module, heart sound detection module, heart impulse detection mould
The microprocessor of block connection.
Further, the signal transmission module is 4G/5G modules or WIFI module.
Further, the client is mobile phone or tablet computer.
Further, the pulse wave/blood pressure module monitoring Arteria carotis communis, left and right axillary artery, left and right arteria brachialis, a left side
Right radial artery, left and right ulnar artery, left and right anterior tibial artery, the pulse wave and blood pressure signal of the sufficient prerolandic artery Rolando in left and right.
A kind of wearable cardiovascular and cerebrovascular disease intelligent monitoring method, comprises the following steps：
Step 1, high in the clouds intelligent expert system using signal transmission module transmission come pulse wave, blood pressure ripple, electrocardiogram, caardiophonogram
CNN depth network inputs matrixes are built with ballistocardiography signal, wherein input matrix formula is：
Wherein, input M is the matrix of a 200x124,It is the column vector that length is 200, represents theiA input 2s signals are pressed
It is the n-th segment value that 200 orders take according to window；iValue 1 to 31 represent respectively 14 position pulse waves and blood pressure signal and to it is corresponding when
Between electrocardio, heart sound and ballistocardiography signal；
Step 2, using input matrix M build C1 convolutional layers, input signal M convolution is obtained using 6 5x5 windows；
Step 3, using the down-sampled layers of C1 convolution layer building S2,2x2 is carried out to the characteristic spectrum of 6 196x120 of C1 convolutional layers
Value is added again in the sampling of window, i.e. window plus one biases；
Step 4, using the down-sampled layer building C3 convolutional layers of S2, the down-sampled layers of S2 are rolled up entirely respectively using 16 5x5 windows
Product obtains the characteristic spectrum of 16 94x56；
Step 5, the structure full articulamentums of F4, are made of 120 neurons, are connected entirely with C3 convolutional layers, and by the knot after full connection
Fruit is input to ReLu activation primitives, obtains the state of each neuron；
Step 6, in output layer export 7 neurons, and activation primitive uses Sigmoid functions.
Further, the step 6 exports 7 neurons and represents brain recurrent state, left upper extremity recurrent state, a left side respectively
Lower limb recurrent state, right upper extremity recurrent state, right lower extremity recurrent state, heart state, apoplexy probability.
Further, the recurrent state, left upper extremity recurrent state, left lower extremity recurrent state, right upper extremity recurrent state, the right side
In good condition, the slight embolism of lower limb recurrent state, do not know, 5 kinds of possible embolism, high probability embolism states.
Further, the apoplexy probability include occur without, may occur without, not know, being likely to occur, high probability occur
5 kinds of states.
The beneficial effects of the invention are as follows：
(1) present invention can provide the quantitative assessment of cardiovascular and cerebrovascular disease, and early warning, curative effect to Patients with Cardiovascular/Cerebrovascular Diseases are commented
Valency and Fungicide screning etc. are respectively provided with significance；
(2) present invention can provide such as left upper extremity, left lower extremity, right upper extremity, the loop parameter of right lower extremity regional area, this is conventional
Had no in equipment；
(3) present invention has broken in the past to the single-mode of physiologic information indexing diagnosis, continuous for a long time by wearable device
Data acquisition and big data integrate application, take full advantage of each physiologic information.
(4) present invention is easy to use, has preferable portability, practicality and advance.
It is described further below with reference to the technique effect of design of the attached drawing to the present invention, concrete structure and generation, with
It is fully understood from the purpose of the present invention, feature and effect.
Brief description of the drawings
Fig. 1 is the system structure diagram of the present invention.
Fig. 2 is pulse wave blood pressure measurement position and the wearable device schematic diagram of the present invention.
Fig. 3 is the CNN depth network structures of the present invention.
Embodiment
As shown in Figure 1, a kind of wearable cardiovascular and cerebrovascular disease intelligent monitor system, including signal detection module, signal pass
Defeated module, high in the clouds intelligent expert system and client, the signal detection module, signal transmission module, high in the clouds intelligent expert system
System and client are sequentially connected, wherein：
Signal detection module, for gathering pulse wave, blood pressure ripple, electrocardiogram, caardiophonogram and ballistocardiography signal and handling；
Signal transmission module, for by the pulse wave after signal detection module acquisition process, blood pressure ripple, electrocardiogram, caardiophonogram and
Ballistocardiography signal is wirelessly transmitted to high in the clouds intelligent expert system；
High in the clouds intelligent expert system, for the cloud server system based on CNN depth networks, for quantitative forecast cardiovascular and cerebrovascular disease
Disease；
Client, for showing the cardiovascular and cerebrovascular disease result predicted.
In the present embodiment, the signal detection module includes pulse wave/blood pressure module, ECG detecting module, heart sound detection
Module, heart impulse detection module and with pulse wave/blood pressure module, ECG detecting module, heart sound detection module, heart impulse detection
The microprocessor of module connection.
In the present embodiment, the signal transmission module is 4G/5G modules or WIFI module.
In the present embodiment, the client is mobile phone or tablet computer.
In the present embodiment, the pulse wave/blood pressure module monitoring Arteria carotis communis, left and right axillary artery, left and right arteria brachialis,
Left and right radial artery, left and right ulnar artery, left and right anterior tibial artery, the pulse wave and blood pressure signal of the sufficient prerolandic artery Rolando in left and right.
As shown in figure 3, a kind of wearable cardiovascular and cerebrovascular disease intelligent monitoring method, comprises the following steps：
Step 1, high in the clouds intelligent expert system using signal transmission module transmission come pulse wave, blood pressure ripple, electrocardiogram, caardiophonogram
CNN depth network inputs matrixes are built with ballistocardiography signal, wherein input matrix formula is：
Wherein, input M is the matrix of a 200x124,It is the column vector that length is 200, represents theiA input 2s signals are pressed
It is the n-th segment value that 200 orders take according to window；iValue 1 to 31 represent respectively 14 position pulse waves and blood pressure signal and to it is corresponding when
Between electrocardio, heart sound and ballistocardiography signal；
Step 2, using input matrix M build C1 convolutional layers, input signal M convolution is obtained using 6 5x5 windows；
Step 3, using the down-sampled layers of C1 convolution layer building S2,2x2 is carried out to the characteristic spectrum of 6 196x120 of C1 convolutional layers
Value is added again in the sampling of window, i.e. window plus one biases；
Step 4, using the down-sampled layer building C3 convolutional layers of S2, the down-sampled layers of S2 are rolled up entirely respectively using 16 5x5 windows
Product obtains the characteristic spectrum of 16 94x56；
Step 5, the structure full articulamentums of F4, are made of 120 neurons, are connected entirely with C3 convolutional layers, and by the knot after full connection
Fruit is input to ReLu activation primitives, obtains the state of each neuron；
Step 6, in output layer export 7 neurons, and activation primitive uses Sigmoid functions.
In the present embodiment, the step 6 export 7 neurons represent respectively brain recurrent state, left upper extremity recurrent state,
Left lower extremity recurrent state, right upper extremity recurrent state, right lower extremity recurrent state, heart state, apoplexy probability.
In the present embodiment, the recurrent state, left upper extremity recurrent state, left lower extremity recurrent state, right upper extremity recurrent state,
In good condition, the slight embolism of right lower extremity recurrent state, do not know, 5 kinds of possible embolism, high probability embolism states.
In the present embodiment, the apoplexy probability is including occurring without, may occurring without, not know, being likely to occur, high probability goes out
Existing 5 kinds of states.
The wearable cardiovascular and cerebrovascular disease intelligent monitor system block diagram of the present invention is as shown in Figure 1, by signal detection module, letter
Number transport module, high in the clouds intelligent expert system and client four is most of forms.Signal acquisition part collects pulse wave, blood pressure
Ripple, electrocardiogram, caardiophonogram and ballistocardiography, and by microprocessor Wireless transceiver to high in the clouds, then pass through intelligent algorithm
The expert system of foundation, provides the information of wearer's each several part blood circulation situation, the probability of later stage apoplexy, heart disease situation
It is sent to etc. diagnostic message in client end AP P.
Signal detection part is by four module compositions：
1. noninvasive pulse wave and non-invasive blood pressure measurement module.As shown in Fig. 2, on intelligent wearable device, this module is supervised in real time
Survey Arteria carotis communis, left and right axillary artery, left and right arteria brachialis, left and right radial artery, left and right ulnar artery, left and right anterior tibial artery, left and right
The pulse wave and blood pressure signal of sufficient prerolandic artery Rolando.Utilize non-invasive measurement device monitoring human pulse waveform and continuous blood pressure waveform（It is left
Right upper extremity, left and right lower limb）, diagnosis basis is provided for each side limb local blood circulation situation.
2. electrocardiogram acquisition module, electrocardiosignal continuous acquisition and identification.By electrode design in personal wearable garment, side
Just dress for a long time and measurement, so as to fulfill premature beat, atrial fibrillation, room flutter, the identification of the common arrhythmia cordis such as room speed, and be heart
Health status provides information.
3. heart sound acquisition module, cardiechema signals continuous acquisition.It is most strong that module electrodes are placed in intensity of heart sounds in portable jacket
Aortic area, pulmonary area, tricuspid valve area and mitral area measure, cardiac valves situation can be assessed.
4. ballistocardiography acquisition module.Cardiac cycle is shunk in diastole campaign, and blood flow can act human body
Power, therefore the size at H, I, J, K, L, M, N peak of shock wave figure and interval are the mechanics spies to cardiac cycle each session information
Property indicator, can provide the cardiovascular mechanical property that can not be obtained in conventional portable device.
Above signal is transferred to Cloud Server by microprocessor.It is accurate using hospital's large scale equipment in cloud server end
The rule that diagnostic result is established as training set, i.e., be trained deep learning network model parameter, the learning rules such as institute of table 1
Show, rule during use according to foundation handles data, draws the result of wearable device monitoring.As shown in table 1, this monitoring
The output result of method, can be to local blood circulation shape, arrhythmia cordis, heart allomeric function, apoplexy probability in the range of 0-1
The analysis result of quantitative.If prompting there may exist disease, what wearer can be earlier goes to hospital to be further examined, from
And realize the early monitoring of cardiovascular and cerebrovascular disease.
1 expert system input and output of table rule
The system can use different manually intelligence learning algorithm structure expert system rules.As embodiment, advised based on study
A kind of convolutional neural networks CNN is then constructed, structure is as shown in Figure 3.Learning network has five layers altogether, be respectively C1 volumes of basic unit one,
The down-sampled layers two of S2, C3 convolutional layers three, the full articulamentums of F4 and output layer.31 channel signals that four modules collect are down-sampled to be
400Hz, then multiplies the input of 124 matrix as CNN by one-dimensional map to the 200 of two dimension, and last output neuron 1-7 distinguishes
Corresponding table 1 exports train value.
The present invention allows preventive medicine by conversions concepts into daily life, is that a can enter community hospital or family
Easy use, easy donning, the examination of the person in middle and old age's cardiovascular and cerebrovascular disease easily monitored and early warning intelligent wearable device, have following excellent
Gesture：
(1) present invention can provide the quantitative assessment of cardiovascular and cerebrovascular disease, and early warning, curative effect to Patients with Cardiovascular/Cerebrovascular Diseases are commented
Valency and Fungicide screning etc. are respectively provided with significance；
(2) present invention can provide such as left upper extremity, left lower extremity, right upper extremity, the loop parameter of right lower extremity regional area, this is conventional
Had no in equipment；
(3) present invention has broken in the past to the single-mode of physiologic information indexing diagnosis, continuous for a long time by wearable device
Data acquisition and big data integrate application, take full advantage of each physiologic information.
(4) present invention is easy to use, has preferable portability, practicality and advance.
Preferred embodiment of the invention described in detail above.It should be appreciated that those of ordinary skill in the art without
Need creative work to conceive according to the present invention and make many modifications and variations.Therefore, all technologies in the art
Personnel are available by logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Technical solution, all should be in the protection domain being defined in the patent claims.
Claims (9)
1. a kind of wearable cardiovascular and cerebrovascular disease intelligent monitor system, it is characterised in that including signal detection module, signal transmission
Module, high in the clouds intelligent expert system and client, the signal detection module, signal transmission module, high in the clouds intelligent expert system
It is sequentially connected with client, wherein：
Signal detection module, for gathering pulse wave, blood pressure ripple, electrocardiogram, caardiophonogram and ballistocardiography signal and handling；
Signal transmission module, for by the pulse wave after signal detection module acquisition process, blood pressure ripple, electrocardiogram, caardiophonogram and
Ballistocardiography signal is wirelessly transmitted to high in the clouds intelligent expert system；
High in the clouds intelligent expert system, for the cloud server system based on CNN depth networks, for quantitative forecast cardiovascular and cerebrovascular disease
Disease；
Client, for showing the cardiovascular and cerebrovascular disease result predicted.
2. in a kind of wearable cardiovascular and cerebrovascular disease intelligent monitor system as claimed in claim 1, it is characterised in that：The letter
Number detection module include pulse wave/blood pressure module, ECG detecting module, heart sound detection module, heart impulse detection module and with
Pulse wave/blood pressure module, ECG detecting module, heart sound detection module, the microprocessor of heart impulse detection module connection.
A kind of 3. wearable cardiovascular and cerebrovascular disease intelligent monitor system as claimed in claim 1, it is characterised in that：The signal
Transport module is 4G/5G modules or WIFI module.
A kind of 4. wearable cardiovascular and cerebrovascular disease intelligent monitor system as claimed in claim 1, it is characterised in that：The client
Hold as mobile phone or tablet computer.
A kind of 5. wearable cardiovascular and cerebrovascular disease intelligent monitor system as claimed in claim 2, it is characterised in that：The pulse
Ripple/blood pressure module monitoring Arteria carotis communis, left and right axillary artery, left and right arteria brachialis, left and right radial artery, left and right ulnar artery, left and right
The pulse wave and blood pressure signal of anterior tibial artery, the sufficient prerolandic artery Rolando in left and right.
6. a kind of wearable cardiovascular and cerebrovascular disease intelligent monitoring method, it is characterised in that comprise the following steps：
Step 1, high in the clouds intelligent expert system using signal transmission module transmission come pulse wave, blood pressure ripple, electrocardiogram, caardiophonogram
CNN depth network inputs matrixes are built with ballistocardiography signal, wherein input matrix formula is：
Wherein, input M is the matrix of a 200x124,It is the column vector that length is 200, represents theiA input 2s signals are pressed
It is the n-th segment value that 200 orders take according to window；iValue 1 to 31 represent respectively 14 position pulse waves and blood pressure signal and to it is corresponding when
Between electrocardio, heart sound and ballistocardiography signal；
Step 2, using input matrix M build C1 convolutional layers, input signal M convolution is obtained using 6 5x5 windows；
Step 3, using the down-sampled layers of C1 convolution layer building S2,2x2 is carried out to the characteristic spectrum of 6 196x120 of C1 convolutional layers
Value is added again in the sampling of window, i.e. window plus one biases；
Step 4, using the down-sampled layer building C3 convolutional layers of S2, the down-sampled layers of S2 are rolled up entirely respectively using 16 5x5 windows
Product obtains the characteristic spectrum of 16 94x56；
Step 5, the structure full articulamentums of F4, are made of 120 neurons, are connected entirely with C3 convolutional layers, and by the knot after full connection
Fruit is input to ReLu activation primitives, obtains the state of each neuron；
Step 6, in output layer export 7 neurons, and activation primitive uses Sigmoid functions.
A kind of 7. wearable cardiovascular and cerebrovascular disease intelligent monitoring method as claimed in claim 6, it is characterised in that the step
67 neurons of output represent brain recurrent state, left upper extremity recurrent state, left lower extremity recurrent state, right upper extremity circulation shape respectively
State, right lower extremity recurrent state, heart state, apoplexy probability.
A kind of 8. wearable cardiovascular and cerebrovascular disease intelligent monitoring method as claimed in claim 7, it is characterised in that the circulation
State, left upper extremity recurrent state, left lower extremity recurrent state, right upper extremity recurrent state, right lower extremity recurrent state it is in good condition, light
Micro-embolization, do not know, 5 kinds of possible embolism, high probability embolism states.
A kind of 9. wearable cardiovascular and cerebrovascular disease intelligent monitoring method as claimed in claim 7, it is characterised in that the apoplexy
Probability is including occurring without, may occurring without, not know, being likely to occur, 5 kinds of states occurs in high probability.
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