CN108324271A - Electrocardiosignal recognition methods, system and cardioelectric monitor equipment - Google Patents
Electrocardiosignal recognition methods, system and cardioelectric monitor equipment Download PDFInfo
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- CN108324271A CN108324271A CN201711429249.4A CN201711429249A CN108324271A CN 108324271 A CN108324271 A CN 108324271A CN 201711429249 A CN201711429249 A CN 201711429249A CN 108324271 A CN108324271 A CN 108324271A
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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]
- A61B5/346—Analysis of electrocardiograms
- A61B5/349—Detecting specific parameters of the electrocardiograph cycle
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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
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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
- A61B5/7221—Determining signal validity, reliability or quality
Abstract
The present invention provides a kind of electrocardiosignal recognition methods, system and cardioelectric monitor equipment, are related to cardiac electrical technical field, including：Obtain the electrocardiosignal of collection period acquisition；According to electrocardiosignal, standard deviation, the subsegment standard deviation array of electrocardiosignal are calculated；According to standard deviation and subsegment standard deviation array, identification electrocardiosignal, which whether there is, substantially to be interfered；If electrocardiosignal is there is no substantially interfering, according to standard deviation and subsegment standard deviation array, the isolated degree of average wave crest and wave crest that calculate electrocardiosignal isolate number of degrees group；Number of degrees group is isolated according to the isolated degree of average wave crest and the wave crest, identification electrocardiosignal is with the presence or absence of slightly interference.More careful judgement can be carried out to electrocardiosignal, so as to provide more accurate data for later stage signal processing, the electrocardiosignal acquired in a collection period is established in the judgement of the present invention simultaneously, can reach the demand analyzed in real time, is suitable for heart real time and is monitored.
Description
Technical field
The present invention relates to ECG Technique fields, more particularly, to a kind of electrocardiosignal recognition methods, system and cardioelectric monitor
Equipment.
Background technology
Instantly the development of cardioelectric monitor technology is very rapid, produces the dynamic electrocardiogram much used towards layman
There is such as muscle tremors, instrument and will produce by situations such as electromagnetic interference in monitoring device however, during having an electro-cardiogram
Error so that false judgment occurs for computer automatic analysis algorithm, is missed to the ecg analysis to make mistake as a result, being formed to user
It leads.So one of the problem of accurately identifying ecg wave form artifact, being holter devices urgent need to resolve.
About the recognition methods of artifact in electrocardiogram, the method mainly for heart real time analysis.Heart real time analysis refers to,
User often acquires a bit of signal analysis once during acquiring signal, to give a kind of feeling of instant analysis of user.So
And existing real-time artifact identification method, it is incomplete for the classification judgement of artifact, judge roughly, when heart real time is analyzed
Using limited.If independent of recognizer, by manual identified artifact waveform, then need user that certain electrocardio profession is needed to know
Know, this reduces the practicabilities of application.
Invention content
It, can be in view of this, the purpose of the present invention is to provide electrocardiosignal recognition methods, system and cardioelectric monitor equipment
More careful judgement is carried out to electrocardiosignal, so as to provide accurate data, while this hair for later stage signal processing
The electrocardiosignal acquired in a collection period is established in bright judgement, can reach the demand analyzed in real time, is suitable for the real-time heart
Pyroelectric monitor.
In a first aspect, an embodiment of the present invention provides a kind of electrocardiosignal recognition methods, including：Obtain a collection period
The electrocardiosignal of acquisition；According to the electrocardiosignal, standard deviation, the subsegment standard deviation array of electrocardiosignal are calculated；According to described
Standard deviation and the subsegment standard deviation array identify that the electrocardiosignal whether there is and substantially interfere；If the electrocardiosignal
There is no substantially interfering, then according to the standard deviation and subsegment standard deviation array, the isolated degree of average wave crest of electrocardiosignal is calculated
Number of degrees group is isolated with wave crest；Number of degrees group is isolated according to the average isolated degree of wave crest and the wave crest, identifies the electrocardiosignal
With the presence or absence of small size interference.
With reference to first aspect, an embodiment of the present invention provides the first possible embodiments of first aspect, wherein institute
The standard deviation that electrocardiosignal is calculated according to the electrocardiosignal, subsegment standard deviation array are stated, including：According to electrocardiosignal, calculate
The standard deviation of electrocardiosignal；The electrocardiosignal is divided into multiple ecg wave form segments by the period；According to the multiple electrocardio
Waveform segment obtains the signal amplitude of each ecg wave form segment；According to the signal amplitude of each ecg wave form segment, meter
The subsegment standard deviation of each ecg wave form segment is calculated, subsegment standard deviation array is formed.
With reference to first aspect, an embodiment of the present invention provides second of possible embodiments of first aspect, wherein institute
It states according to the standard deviation and the subsegment standard deviation array, identifies that the electrocardiosignal whether there is and substantially interfere, including：Sentence
Whether the standard deviation of breaking is more than first threshold；If it is greater, then judging that the artifact type of the electrocardiosignal amplitude sequence is
Substantially interfere；If it is not greater, then judging that all subsegment standard deviations whether there is the subsegment standard deviation more than the first threshold；
If it is, obtaining the number that there is the subsegment standard deviation more than the first threshold；Judge described more than the first threshold
Subsegment standard deviation number whether be more than second threshold；If it is, judging the artifact class of the electrocardiosignal amplitude sequence
Type is that part is substantially interfered.
With reference to first aspect, an embodiment of the present invention provides the third possible embodiments of first aspect, wherein institute
State the isolated degree of average wave crest and the isolated degree of wave crest that electrocardiosignal is calculated according to the standard deviation and the subsegment standard deviation array
Array, including：Calculate the sum of the Euclidean distance of signal amplitude of each ecg wave form segment；From multiple ecg wave form segments
The sum of the Euclidean distance of signal amplitude in choose minimum value, and determine reference signal amplitude corresponding with the minimum value；From
In the signal amplitude of multiple ecg wave form segments, the signal amplitude more than the reference signal amplitude is chosen；Calculate all be more than
The isolated degree of the wave crest of the signal amplitude of the reference signal amplitude；According to the isolated degree of the wave crest, sets up wave crest and isolate number of degrees group；
Number of degrees group is isolated according to the wave crest, obtains the isolated degree of average wave crest.
With reference to first aspect, an embodiment of the present invention provides the 4th kind of possible embodiments of first aspect, wherein institute
It states and number of degrees group is isolated according to the average isolated degree of wave crest and the wave crest, identify the electrocardiosignal with the presence or absence of slightly dry
It disturbs, including：Judge whether the isolated degree of average wave crest is more than third threshold value；If it is greater, then judging the electrocardiosignal width
The artifact type of value sequence is slightly interference；If it is not greater, judging that the element number that the wave crest isolates in number of degrees group is again
It is no to be more than the 4th threshold value；If it is, judging the artifact type of the electrocardiosignal amplitude sequence for part slightly interference.
Second aspect, the embodiment of the present invention also provide a kind of electrocardiosignal identifying system, including：Acquisition module, for obtaining
The electrocardiosignal for taking a collection period to acquire；Computing module, for according to the electrocardiosignal, calculating the standard of electrocardiosignal
Difference, subsegment standard deviation array are substantially interfered if the electrocardiosignal is not present, according to the standard deviation and subsegment standard deviation
Array, the isolated degree of average wave crest and wave crest for calculating electrocardiosignal isolate number of degrees group；First identification module, for according to the mark
Quasi- difference and the subsegment standard deviation array identify that the electrocardiosignal whether there is and substantially interfere；Second identification module is used for root
Number of degrees group is isolated according to the average isolated degree of wave crest and the wave crest, identifies the electrocardiosignal with the presence or absence of slightly interference.
In conjunction with second aspect, an embodiment of the present invention provides the first possible embodiments of second aspect, wherein institute
Computing module is stated, is used for：According to the electrocardiosignal, the standard deviation of electrocardiosignal is calculated, by the electrocardiosignal by period etc.
It is divided into multiple ecg wave form segments, according to the multiple ecg wave form segment, obtains the signal amplitude of each ecg wave form segment,
According to the signal amplitude of each ecg wave form segment, the subsegment standard deviation of each ecg wave form segment is calculated, forms subsegment
Standard deviation array.
In conjunction with second aspect, an embodiment of the present invention provides second of possible embodiments of second aspect, wherein institute
The first identification module is stated, is used for：Judge whether the standard deviation is more than first threshold, if it is greater, then judging the electrocardio letter
The artifact type of number amplitude sequence is substantially to interfere, if it is not greater, then judging that all subsegment standard deviations whether there is is more than institute
The subsegment standard deviation of first threshold is stated, if it is, obtaining the number that there is the subsegment standard deviation more than the first threshold, is sentenced
Whether the number of the disconnected subsegment standard deviation more than the first threshold is more than second threshold, if it is, judging the heart
The artifact type of electric signal amplitude sequence is that part is substantially interfered.
In conjunction with second aspect, an embodiment of the present invention provides the third possible embodiments of second aspect, wherein institute
Computing module is stated, is used for：Calculate the sum of the Euclidean distance of signal amplitude of each ecg wave form segment；From multiple electrocardio waves
Minimum value is chosen in the sum of Euclidean distance of signal amplitude of shape segment, and determines reference signal width corresponding with the minimum value
Value；From the signal amplitude of multiple ecg wave form segments, the signal amplitude more than the reference signal amplitude is chosen；It calculates all
More than the isolated degree of wave crest of the signal amplitude of the reference signal amplitude；According to the isolated degree of the wave crest, the isolated degree of wave crest is set up
Array；Degrees of data array is isolated according to the wave crest, obtains the isolated degree of average wave crest.
In conjunction with second aspect, an embodiment of the present invention provides the 4th kind of possible embodiments of second aspect, wherein institute
The second identification module is stated, including：Judge whether the isolated degree of average wave crest is more than third threshold value；If it is greater, then judgement institute
The artifact type for stating electrocardiosignal amplitude sequence is slightly interference, if it is not greater, judging that the wave crest isolates in number of degrees group again
Element number whether be more than the 4th threshold value, if it is, judging that the artifact type of the electrocardiosignal amplitude sequence is part
Slightly interference.
The third aspect, the embodiment of the present invention also provide a kind of cardioelectric monitor equipment, including processor, connect with the processor
The memory connect；Wherein, the memory is configured to execute for storing one or more computer instruction, the processor
Computer instruction in the memory, to pass through the electrocardiosignal of the method identification acquisition described in any one of above-described embodiment
With the presence or absence of interference.
The embodiment of the present invention brings following advantageous effect：Standard deviation that can be by electrocardiosignal, subsegment standard difference
Group judges collected electrocardiosignal with the presence or absence of substantially interfering, if it does not exist, then further according to the isolated degree of average wave crest and wave
Peak isolates number of degrees group, judges collected electrocardiosignal with the presence or absence of slightly interference, the present invention can carry out more electrocardiosignal
The judgement that refinement causes, so as to provide accurate data for later stage signal processing, while the judgement of the present invention is established one
The electrocardiosignal of a collection period acquisition, can reach the demand analyzed in real time, be suitable for heart real time and monitor.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The purpose of the present invention and other advantages are in specification, claims
And specifically noted structure is realized and is obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment cited below particularly, and coordinate
Appended attached drawing, is described in detail below.
Description of the drawings
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described, it should be apparent that, in being described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, other drawings may also be obtained based on these drawings.
Fig. 1 is the flow chart of electrocardiosignal recognition methods provided in an embodiment of the present invention；
Fig. 2 is the schematic diagram of electrocardiosignal；
Fig. 3 is the schematic diagram of the electrocardiosignal in a cycle；
Fig. 4 is the flow chart of the method provided in an embodiment of the present invention for judging substantially to interfere；
Fig. 5 is the flow chart of the method provided in an embodiment of the present invention for judging slightly to interfere；
Fig. 6 is the structure chart of electrocardiosignal identifying system provided in an embodiment of the present invention；
Fig. 7 is the structure chart of cardioelectric monitor equipment provided in an embodiment of the present invention.
Icon：
200- electrocardiosignal identifying systems；210- acquisition modules；220- computing modules；The first identification modules of 230-；240-
Second identification module；300- cardioelectric monitor equipment；310- processors；320- memories；330- buses；340- communication interfaces.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, shall fall within the protection scope of the present invention.
In cardioelectric monitor, obtained electrocardiogram may have artifact, this is because being deposited during having an electro-cardiogram
It is interfering, such as situations such as muscle twitches, instrument receive electromagnetic interference, the error occurred in the presence of interference is puppet
Difference.Currently, the method analyzed in real time often acquires a bit of signal analysis once during acquiring signal for user, used to give
A kind of feeling of instant analysis in family.However, existing real-time artifact identification method, judges incomplete, judgement for the classification of artifact
Roughly, the application when heart real time is analyzed is limited.If independent of recognizer, by manual identified artifact waveform, then need
User needs certain electrocardio professional knowledge, and this reduces the practicabilities of application.Based on this, provided in an embodiment of the present invention one
The recognition methods of kind electrocardiosignal, system and cardioelectric monitor equipment, standard deviation, subsegment standard deviation array that can be by electrocardiosignal
Collected electrocardiosignal is judged with the presence or absence of substantially interfering, if it does not exist, then further according to the isolated degree of average wave crest and wave crest
Isolated number of degrees group judges collected electrocardiosignal with the presence or absence of slightly interference, and the present invention can carry out more electrocardiosignal
Careful judgement, so as to offer precise data for later stage signal processing, while the present invention is using collection period
Electrocardiosignal carries out the judgement of artifact, can judge closer to electrocardio artifact is completed in real time, the time of delay is to be analyzed
Period, and the setting in period is arbitrary, when the period is shorter, so that it may to reach intimate real-time effect.Furtherly, originally
Invention need not carry out a large amount of data complicated statistical analysis, only be needed every time to a short-period electrocardiosignal amplitude sequence
Arrange for statistical analysis, the speed of service is fast, can meet the needs of analyzing in real time, rather than through can be only achieved after a period of time compared with
Good effect.
For ease of understanding the present embodiment, first to a kind of electrocardiosignal identification side disclosed in the embodiment of the present invention
Method describes in detail, shown in Figure 1, including：
S110：Obtain the electrocardiosignal of collection period acquisition.
In conjunction with shown in Fig. 2, for the electrocardiosignal of acquisition.User can use holter devices to carry out electrocardio and adopt
Collection, and obtain the electrocardiosignal of collection period acquisition, wherein collected electrocardiosignal is actually signal amplitude sequence
Row are the electrocardiogram curve record of voltage by time, ordinate of abscissa.
S120：According to electrocardiosignal, standard deviation, the subsegment standard deviation array of electrocardiosignal are calculated.
As an example, step S120 includes：According to electrocardiosignal, the standard deviation of electrocardiosignal is calculated；Electrocardio is believed
Number it is divided into multiple ecg wave form segments by the period；According to multiple ecg wave form segments, the letter of each ecg wave form segment is obtained
Number amplitude；According to the signal amplitude of each ecg wave form segment, the subsegment standard deviation of each ecg wave form segment, composition are calculated
Segment standard difference group.
Wherein, electrocardiosignal is divided into being meant according to primary by the period in multiple ecg wave form segments by the period
Bounce is calculated as a cycle, and in conjunction with shown in Fig. 3, the time of a bounce includes the time of phase and U waves between phase, Q-T between P-R.One
The electrocardiosignal of secondary period acquisition includes multiple primary bounces, these primary bounces are split and are divided into ecg wave form segment.
In some embodiments, before step S120, can also include：It is pre- that data are carried out to the electrocardiosignal got
Processing, to filter baseline drift interference and high-frequency noise, obtains pretreated EGC waveform data.
S130：According to standard deviation and subsegment standard deviation array, identification electrocardiosignal, which whether there is, substantially to be interfered.
In some embodiments, in conjunction with shown in Fig. 4, step S130 is specifically included：
S131：Whether criterion difference is more than first threshold.
Wherein, first threshold is tested to obtain by multiple known data.That is, first threshold is when calculating
When standard deviation is more than this threshold limit value, it is known that collected electrocardiosignal amplitude sequence has received and substantially interferes.If
It is more than, then carries out step S132；If it is not greater, then carrying out step S133.
S132：The artifact type of judgement electrocardiosignal amplitude sequence is substantially to interfere.
Wherein, the meaning substantially interfered is that the periodicity of ecg wave form is very chaotic, is hard to tell P waves, the QRS of Chu's ecg wave form
Wave, T waves, U waves.For example, in conjunction with shown in Fig. 3, for the ecg wave form figure under not interfering with, in this ecg wave form figure, P
Wave, T waves, U waves amplitude be significantly less than the amplitude of R waves, and judging that the artifact type of the electrocardiosignal amplitude sequence of acquisition is
When substantially interfering, the electrocardiogram showed is hard to tell P waves, QRS wave, T waves, the U waves of Chu's ecg wave form, collected each
Amplitude variation is chaotic.
S133：Judge that subsegment standard deviation whether there is the subsegment standard deviation more than first threshold.If it is present being walked
Rapid S134 and step S135.
Wherein, step S135：Judge whether the number of the subsegment standard deviation more than first threshold is more than in second threshold
Second threshold is natural number, and second threshold refers to that the number of the subsegment standard deviation more than first threshold is compared with this critical value
Compared with, judge whether part substantially interfere.Wherein, this second threshold is depending on the electrocardiosignal acquired in a cycle.It lifts
For example, when collecting 20 ecg wave form segments once beated in a collection period, when in 20 ecg wave form segments
There is the standard deviation of 10 ecg wave form segments to be more than first threshold, it is, the artifact type of 10 ecg wave form segments is big
Width interferes, this 10 is exactly second threshold.The value of certain second threshold can be according to collected electrocardio in a collection period
Depending on the number of waveform segment.If it is greater, then step S136 is carried out, if it is not greater, then carrying out step S140.
S136：The artifact type of electrocardiosignal amplitude sequence is judged partly substantially to interfere.
Wherein, the electrocardio with part ecg wave form segment meant in a collection period is substantially interfered in part
The periodicity of waveform is very chaotic, is hard to tell P waves, QRS wave, T waves, the U waves of Chu's ecg wave form.
In some embodiments, further include before step S130：Set up the signal amplitude of multiple ecg wave form segments
Array, judge the length of array for 0 when, judge that the electrocardiosignal that currently obtains is no signal condition.That is, not collecting letter
Number.
S140：If electrocardiosignal, according to standard deviation and subsegment standard deviation array, calculates electrocardio there is no substantially interfering
The isolated degree of the average wave crest of signal and wave crest isolate number of degrees group.
In some embodiments, according to standard deviation and subsegment standard deviation array, the average wave crest for calculating electrocardiosignal is isolated
Degree and wave crest isolate number of degrees group, including：Calculate the sum of the Euclidean distance of signal amplitude of each ecg wave form segment；From multiple hearts
Minimum value is chosen in the sum of Euclidean distance of signal amplitude of electrical waveform segment, and determines reference signal width corresponding with minimum value
Value；From the signal amplitude of multiple ecg wave form segments, the signal amplitude more than reference signal amplitude is chosen；Calculate all be more than
The isolated degree of the wave crest of the signal amplitude of reference signal amplitude；According to the isolated degree of wave crest, sets up wave crest and isolate number of degrees group；According to wave crest
Isolated number of degrees group obtains the isolated degree of average wave crest.
For example, when the ecg wave form segment of a collection period of acquisition is 20, there are 20 signal amplitudes,
The Euclidean distance between each signal amplitude and other signal amplitudes is calculated, after obtaining Euclidean distance, calculates a signal width
The sum of Euclidean distance of value, i.e. 20 ecg wave form segments correspond to the sum of 20 Euclidean distances, compare the sum of 20 Euclidean distances
Size, choose the minimum value in the sum of 20 Euclidean distances, determine signal width on the basis of signal amplitude corresponding with minimum value
Value.
Wherein, this reference signal amplitude is act as：The main wave of electrocardio, the i.e. threshold value of the amplitude of R waves.Threshold value is obtained again
Afterwards, this threshold value is compared with the signal amplitude of 20 ecg wave form segments, chooses the signal amplitude more than this threshold value,
And determine position of this signal amplitude in this electrocardiosignal obtained.Particularly, because electrocardiosignal is with abscissa
Time, the form that ordinate is voltage record, then specific location information can be indicated with the time.
After obtaining these location informations, the isolated degree of wave crest of the signal amplitude is calculated.The isolated degree of wave crest refers to a wave
The a certain range of wave crest number that meets condition of peak centered on by its own.Citing, in conjunction with shown in Fig. 2, if third
A signal amplitude is the signal amplitude of the isolated degree of wave crest to be calculated, then centered on the position of third signal amplitude, to the left
The wave crest number of the condition of satisfaction is looked for during same range is interior in a certain range and to the right.The wave crest mentioned here for meeting condition is
Refer to, the size of the crest value is the certain proportion of the signal amplitude of the isolated degree of wave crest to be calculated, this is a certain proportion of ranging from
[0.5,0.9].Particularly, if a certain range memory centered on by the position of the signal amplitude of the isolated degree of wave crest to be calculated
It is more than the signal amplitude of the isolated degree of wave crest to be calculated in the size of crest value, then the wave of the signal amplitude of the isolated degree of wave crest to be calculated
The isolated degree in peak is 0.
Wherein, the isolated degree of average wave crest is the arithmetic mean of instantaneous value that wave crest isolates number of degrees group.
S150：Number of degrees group is isolated according to the isolated degree of average wave crest and wave crest, identification electrocardiosignal is with the presence or absence of slightly interference.
In conjunction with shown in Fig. 5, number of degrees group is isolated according to the isolated degree of average wave crest and wave crest, identification electrocardiosignal is with the presence or absence of small
Width interferes, including：
S151：Judge whether the isolated degree of average wave crest is more than third threshold value.
Specifically, third threshold value is according to known normal electrocardiogram (ECG) data and with the electrocardio number of small size disturbed condition
According to the critical value of two kinds of data of judgement.If it is greater, then carrying out step S152；If it is not greater, then carrying out step S153.
S152：Judge that the artifact type of electrocardiosignal amplitude sequence is slightly interference.
Wherein, in conjunction with shown in Fig. 2 and Fig. 3, in the electrocardiosignal amplitude size not interfered with, P waves, T waves, U waves width
Value is significantly less than the amplitude of R waves, and slightly interference refers to the amplitude of P waves, T waves, U waves at least one signal amplitude and R waves therein
Sizableness, or amplitude size for R waves certain proportion, wherein it is a certain proportion of to may range from [0.5,0.9], I
By it is this interference be defined as slightly interfering.P waves, R waves, T waves, U waves can be determined by slightly interfering, but P waves, T waves, U waves and R
Amplitude between wave compares unobvious.
S153：Judge whether the element number that wave crest isolates in number of degrees group is more than the 4th threshold value.If it is greater, then being walked
Rapid S154；If it is not greater, then carrying out step S155.
S154：Judge the artifact type of electrocardiosignal amplitude sequence for part slightly interference.
Part slightly interfere mean in a collection period with part ecg wave form segment with above-mentioned
The case where described small size interference.
S155：Judge that the signal does not receive interference.
In conjunction with shown in Fig. 6, electrocardiosignal identifying system 200, including：Acquisition module 210, computing module 220, first identify
Module 230 and the second identification module 240.
Wherein, acquisition module 210 is used to obtain the electrocardiosignal of collection period acquisition.Computing module 220 and acquisition
Module 210 is connected, for according to electrocardiosignal, standard deviation, the subsegment standard deviation array of electrocardiosignal being calculated, if electrocardiosignal
There is no severe jamming phenomenons, then according to standard deviation and subsegment standard deviation array, calculate the isolated degree of average wave crest of electrocardiosignal
Number of degrees group is isolated with wave crest.First identification module 230 is connected with computing module 220, for according to standard deviation and subsegment standard deviation
Array, identification electrocardiosignal, which whether there is, substantially to be interfered.Second identification module 240 and computing module 220, for according to average wave
The isolated degree in peak and the wave crest isolate number of degrees group, and identification electrocardiosignal is with the presence or absence of slightly interference.
In some embodiments, computing module 220 is used for：According to electrocardiosignal, the standard deviation of electrocardiosignal is calculated, by the heart
Electric signal is divided into multiple ecg wave form segments by the period, according to multiple ecg wave form segments, obtains each ecg wave form segment
Signal amplitude the subsegment standard deviation of each ecg wave form segment, group are calculated according to the signal amplitude of each ecg wave form segment
At subsegment standard deviation array.
In some embodiments, the first identification module 230, is used for：Whether criterion difference is more than first threshold, if greatly
In the artifact type of electrocardiosignal amplitude sequence then being judged substantially to interfere, if it is not greater, then judging all subsegment standard deviations
With the presence or absence of the subsegment standard deviation more than first threshold, if it is present obtaining the subsegment standard deviation existed more than first threshold
Number, judge more than first threshold subsegment standard deviation number whether be more than second threshold, if it is greater, then judging electrocardio
The artifact type of signal amplitude sequence is that part is substantially interfered.
In some embodiments, computing module 220 are used for：Calculate the European of the signal amplitude of each ecg wave form segment
Sum of the distance；Minimum value is chosen in the sum of Euclidean distance of signal amplitude from multiple ecg wave form segments, and is determined and minimum
It is worth corresponding reference signal amplitude；From the signal amplitude of multiple ecg wave form segments, the letter more than reference signal amplitude is chosen
Number amplitude；Calculate the isolated degree of wave crest of all signal amplitudes more than reference signal amplitude；According to the isolated degree of wave crest, wave crest is set up
Isolated number of degrees group；Degrees of data array is isolated according to wave crest, obtains the isolated degree of average wave crest.
In some embodiments, the second identification module 240, including：Judge whether the isolated degree of average wave crest is more than third threshold
Value；If it is greater, then judging that the artifact type of electrocardiosignal amplitude sequence is too small for amplitude, if it is not greater, judging wave crest again
Whether the element number in isolated number of degrees group is more than the 4th threshold value, if it is greater, then judging the artifact of electrocardiosignal amplitude sequence
Type is a small amount of disturbance.
The technique effect and preceding method embodiment phase of the system that the embodiment of the present invention is provided, realization principle and generation
Together, to briefly describe, system embodiment part does not refer to place, can refer to corresponding contents in preceding method embodiment.
It is shown in Figure 7, cardioelectric monitor equipment 300, which is characterized in that including processor 310, connect with processor 310
Memory 320；Wherein, memory 320 is configured to execute for storing one or more computer instruction, processor 310
Computer instruction in memory 320, to identify that the electrocardiosignal of acquisition is by above-described embodiment any one of them method
It is no to there is interference.
Referring back to Fig. 7, further include：Bus 330 and communication interface 340, the processor 310, communication interface 340 and storage
Device 320 is connected by bus 330.
Wherein, memory 320 may include high-speed random access memory (RAM, Random Access Memory),
May further include non-labile memory (non-volatile memory), for example, at least a magnetic disk storage.By extremely
A few communication interface 340 (can be wired or wireless) is realized logical between the system network element and at least one other network element
Letter connection can use internet, wide area network, local network, Metropolitan Area Network (MAN) etc..
Bus 330 can be isa bus, pci bus or eisa bus etc..The bus can be divided into address bus, number
According to bus, controlling bus etc..For ease of indicating, only indicated with a four-headed arrow in Fig. 7, it is not intended that an only bus
Or a type of bus.
Wherein, memory 320 is for storing program, and the processor 310 executes the journey after receiving and executing instruction
Sequence 401, the method performed by device that the stream process that aforementioned any embodiment of the embodiment of the present invention discloses defines can be applied to
In processor 310, or realized by processor 310.
Processor 310 may be a kind of IC chip, the processing capacity with signal.It is above-mentioned during realization
Each step of method can be completed by the integrated logic circuit of the hardware in processor 310 or the instruction of software form.On
The processor 310 stated can be general processor, including central processing unit (Central Processing Unit, abbreviation
CPU), network processing unit (Network Processor, abbreviation NP) etc.；It can also be digital signal processor (Digital
Signal Processing, abbreviation DSP), application-specific integrated circuit (Application Specific Integrated
Circuit, abbreviation ASIC), ready-made programmable gate array (Field-Programmable Gate Array, abbreviation FPGA) or
Person other programmable logic device, discrete gate or transistor logic, discrete hardware components.It may be implemented or execute sheet
Disclosed each method, step and logic diagram in inventive embodiments.General processor can be microprocessor or the processing
Device can also be any conventional processor etc..The step of method in conjunction with disclosed in the embodiment of the present invention, can be embodied directly in
Hardware decoding processor executes completion, or in decoding processor hardware and software module combination execute completion.Software mould
Block can be located at random access memory, flash memory, read-only memory, programmable read only memory or electrically erasable programmable storage
In the storage medium of this fields such as device, register maturation.The storage medium is located at memory 320, and processor 310 reads memory
Information in 320, in conjunction with the step of its hardware completion above method.
Unless specifically stated otherwise, the opposite step of the component and step that otherwise illustrate in these embodiments, digital table
It is not limit the scope of the invention up to formula and numerical value.
In all examples being illustrated and described herein, any occurrence should be construed as merely illustrative, without
It is as limitation, therefore, other examples of exemplary embodiment can have different values.
It should be noted that：Similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent attached drawing in a attached drawing.
Flow chart and block diagram in attached drawing show the system, method and computer journey of multiple embodiments according to the present invention
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part for a part for one module, section or code of table, the module, section or code includes one or more uses
The executable instruction of the logic function as defined in realization.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two continuous boxes can essentially base
Originally it is performed in parallel, they can also be executed in the opposite order sometimes, this is depended on the functions involved.It is also noted that
It is the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, can uses and execute rule
The dedicated hardware based system of fixed function or action is realized, or can use the group of specialized hardware and computer instruction
It closes to realize.
In addition, in the description of the embodiment of the present invention unless specifically defined or limited otherwise, term " connected " should be done extensively
Reason and good sense solution may be a detachable connection for example, it may be being fixedly connected, or be integrally connected；Can be mechanical connection,
It can be electrical connection；It can be directly connected, can also can be indirectly connected through an intermediary the company inside two elements
It is logical.For the ordinary skill in the art, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.
In the description of the present invention, it should be noted that the fingers such as term "center", "upper", "lower", "left", "right", "inner"
The orientation or positional relationship shown is to be based on the orientation or positional relationship shown in the drawings, and is merely for convenience of the description present invention and simplifies
Description, does not indicate or imply the indicated device or element must have a particular orientation, with specific azimuth configuration and behaviour
Make, therefore is not considered as limiting the invention.In addition, term " first ", " second ", " third " are used for description purposes only,
It is not understood to indicate or imply relative importance.
In several embodiments provided herein, it should be understood that disclosed system and method can pass through it
Its mode is realized.System embodiment described above is only schematical, for example, the division of the unit, only
A kind of division of logic function, formula that in actual implementation, there may be another division manner, in another example, multiple units or component can combine
Or it is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed phase
Coupling, direct-coupling or communication connection between mutually can be by some communication interfaces, the INDIRECT COUPLING or communication link of unit
It connects, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in the executable non-volatile computer read/write memory medium of a processor.Based on this understanding, of the invention
Technical solution substantially the part of the part that contributes to existing technology or the technical solution can be with software in other words
The form of product embodies, which is stored in a storage medium, including some instructions use so that
One computer equipment (can be personal computer, server or the network equipment etc.) executes each embodiment institute of the present invention
State all or part of step of method.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with
Store the medium of program code.
Finally it should be noted that：Embodiment described above, only specific implementation mode of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, it will be understood by those of ordinary skill in the art that：Any one skilled in the art
In the technical scope disclosed by the present invention, it can still modify to the technical solution recorded in previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover the protection in the present invention
Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (11)
1. a kind of electrocardiosignal recognition methods, which is characterized in that including：
Obtain the electrocardiosignal of collection period acquisition；
According to the electrocardiosignal, standard deviation, the subsegment standard deviation array of electrocardiosignal are calculated；
According to the standard deviation and the subsegment standard deviation array, identifies that the electrocardiosignal whether there is and substantially interfere；
If the electrocardiosignal, according to the standard deviation and subsegment standard deviation array, calculates electrocardio there is no substantially interfering
The isolated degree of the average wave crest of signal and wave crest isolate number of degrees group；
Number of degrees group is isolated according to the average isolated degree of wave crest and the wave crest, identifies the electrocardiosignal with the presence or absence of slightly dry
It disturbs.
2. electrocardiosignal recognition methods according to claim 1, which is characterized in that described according to the electrocardiosignal, meter
Standard deviation, the subsegment standard deviation array of electrocardiosignal are calculated, including：
According to electrocardiosignal, the standard deviation of electrocardiosignal is calculated；
The electrocardiosignal is divided into multiple ecg wave form segments by the period；
According to the multiple ecg wave form segment, the signal amplitude of each ecg wave form segment is obtained；
According to the signal amplitude of each ecg wave form segment, the subsegment standard deviation of each ecg wave form segment is calculated, is formed
Subsegment standard deviation array.
3. electrocardiosignal recognition methods according to claim 2, which is characterized in that described according to the standard deviation and described
Subsegment standard deviation array identifies the electrocardiosignal with the presence or absence of substantially interfering, including：
Judge whether the standard deviation is more than first threshold；
If it is greater, then judging that the artifact type of the electrocardiosignal amplitude sequence is substantially to interfere；
If it is not greater, then judging that all subsegment standard deviations whether there is the subsegment standard deviation more than the first threshold；
If it is, obtaining the number that there is the subsegment standard deviation more than the first threshold；
Judge whether the number of the subsegment standard deviation more than the first threshold is more than second threshold；
If it is, judging the artifact type of the electrocardiosignal amplitude sequence partly substantially to interfere.
4. electrocardiosignal recognition methods according to claim 2, which is characterized in that described according to the standard deviation and described
Subsegment standard deviation array, the isolated degree of average wave crest and wave crest for calculating electrocardiosignal isolate number of degrees group, including：
Calculate the sum of the Euclidean distance of signal amplitude of each ecg wave form segment；
Minimum value is chosen in the sum of Euclidean distance of signal amplitude from multiple ecg wave form segments, and is determined and the minimum value
Corresponding reference signal amplitude；
From the signal amplitude of multiple ecg wave form segments, the signal amplitude more than the reference signal amplitude is chosen；
Calculate the isolated degree of wave crest of all signal amplitudes more than the reference signal amplitude；
According to the isolated degree of the wave crest, sets up wave crest and isolate number of degrees group；
Number of degrees group is isolated according to the wave crest, obtains the isolated degree of average wave crest.
5. electrocardiosignal recognition methods according to claim 4, which is characterized in that described isolated according to the average wave crest
Degree and the wave crest isolate number of degrees group, identify the electrocardiosignal with the presence or absence of slightly interference, including：
Judge whether the isolated degree of average wave crest is more than third threshold value；
If it is greater, then judging that the artifact type of the electrocardiosignal amplitude sequence is slightly interference；
If it is not greater, judging whether the element number that the wave crest isolates in number of degrees group is more than the 4th threshold value again；
If it is, judging the artifact type of the electrocardiosignal amplitude sequence for part slightly interference.
6. a kind of electrocardiosignal identifying system, which is characterized in that including：
Acquisition module, the electrocardiosignal for obtaining the acquisition of a collection period；
Computing module, for according to the electrocardiosignal, standard deviation, the subsegment standard deviation array of electrocardiosignal being calculated, if institute
Electrocardiosignal is stated there is no substantially interfering, then according to the standard deviation and subsegment standard deviation array, calculates being averaged for electrocardiosignal
The isolated degree of wave crest and wave crest isolate number of degrees group；
First identification module, for according to the standard deviation and the subsegment standard deviation array, whether identifying the electrocardiosignal
In the presence of substantially interfering；
Second identification module identifies the electrocardio for isolating number of degrees group according to the average isolated degree of wave crest and the wave crest
Signal is with the presence or absence of slightly interference.
7. electrocardiosignal identifying system according to claim 6, which is characterized in that the computing module is used for：According to institute
Electrocardiosignal is stated, the standard deviation of electrocardiosignal is calculated, the electrocardiosignal is divided into multiple ecg wave form segments, root by the period
According to the multiple ecg wave form segment, the signal amplitude of each ecg wave form segment is obtained, according to each ecg wave form piece
The signal amplitude of section calculates the subsegment standard deviation of each ecg wave form segment, forms subsegment standard deviation array.
8. electrocardiosignal identifying system according to claim 7, which is characterized in that first identification module is used for：Sentence
Whether the standard deviation of breaking is more than first threshold, if it is greater, then judging that the artifact type of the electrocardiosignal amplitude sequence is
Substantially interfere, if it is not greater, then judge that all subsegment standard deviations whether there is the subsegment standard deviation more than the first threshold,
If it is, obtaining the number that there is the subsegment standard deviation more than the first threshold, judgement is described to be more than the first threshold
Subsegment standard deviation number whether be more than second threshold, if it is, judging the artifact class of the electrocardiosignal amplitude sequence
Type is that part is substantially interfered.
9. electrocardiosignal identifying system according to claim 7, which is characterized in that the computing module is used for：It calculates every
The sum of the Euclidean distance of signal amplitude of a ecg wave form segment；From the European of the signal amplitudes of multiple ecg wave form segments
Minimum value is chosen in sum of the distance, and determines reference signal amplitude corresponding with the minimum value；From multiple ecg wave form segments
Signal amplitude in, choose more than the reference signal amplitude signal amplitude；It calculates all more than the reference signal amplitude
Signal amplitude the isolated degree of wave crest；According to the isolated degree of the wave crest, sets up wave crest and isolate number of degrees group；It is isolated according to the wave crest
Degrees of data array obtains the isolated degree of average wave crest.
10. electrocardiosignal identifying system according to claim 9, which is characterized in that second identification module, including：
Judge whether the isolated degree of average wave crest is more than third threshold value；If it is greater, then judging the electrocardiosignal amplitude sequence
Artifact type is slightly interference, if it is not greater, judging whether element number that the wave crest isolates in number of degrees groups is more than the again
Four threshold values, if it is, judging the artifact type of the electrocardiosignal amplitude sequence for part slightly interference.
11. a kind of cardioelectric monitor equipment, which is characterized in that including processor, the memory that is connected to the processor；Wherein,
The memory is configured to execute the meter in the memory for storing one or more computer instruction, the processor
Calculation machine instructs, with the electrocardiosignal by the method identification acquisition described in any one of claim 1 to 5 with the presence or absence of interference.
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