CN109390054A - System, method and readable medium for analyzing cardiac beat signals for estimating atrial fibrillation - Google Patents
System, method and readable medium for analyzing cardiac beat signals for estimating atrial fibrillation Download PDFInfo
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- 206010003658 Atrial Fibrillation Diseases 0.000 title claims abstract description 61
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Abstract
The invention discloses a heartbeat signal analysis method for presuming atrial fibrillation, which comprises the following steps: providing n continuous heartbeat information within 5 minutes, wherein n is a positive integer greater than 1; calculating the time difference of each heartbeat message from the 0 th heartbeat message to the nth heartbeat message to obtain n pieces of heartbeat interval messages; calculating a standard deviation (SD parameter) of a heartbeat interval; judging whether the standard deviation of the heartbeat interval exceeds a threshold value, wherein the threshold value is 100; and if the judgment result is yes, the atrial fibrillation is presumed. The SD parameter used by the invention is obtained by analyzing the standard deviation of all normal heartbeat intervals by utilizing time domain analysis, and through statistical data of a plurality of clinical patients and healthy people, the SD parameter can be used as a prediction index for judging that atrial fibrillation is easy to occur in a crowd, thereby being beneficial to rapid screening and reducing the waste of medical resources.
Description
Technical field
Heartbeat signal analysis system, method and the machine for storing this method that the present invention relates to a kind of for speculating auricular fibrillation
Device readable media can rapidly speculate heartbeat signal analysis system, method and the storage of auricular fibrillation in particular to one kind
The machine-readable medium of this method.
Background technique
Auricular fibrillation (Atrial fibrillation, AF), also known as atrium is micro- to quiver, atrial fibrillation, atrial fibrillation,
Atrial fibrillation, atrial fibrillation etc. are one kind of cardiac arrhythmia, and characteristic is the quick and irregular bounce of heart, and auricular fibrillation is opened
Duration when originating raw may be relatively brief, but duration of seizure is possible to more and more longer, will not even alleviate, most of to send out
As when there is no symptom, sufferer may feel that palpitaition, faintness, expiratory dyspnea, pectoralgia sometimes, auricular fibrillation will increase heart failure,
The risk of dementia and apoplexy.
The reason of auricular fibrillation is the bounce of the most common initiation abnormal heart, in Europe and North America, estimated according to 2014
Meter, there are about 2 to 3% populations to be influenced by auricular fibrillation, 0.4 to 1% population compared to 2005, the patient of this disease
Number increased.And in developing country, male suffers from this disease there are about 0.6%, and there are about 0.4% female populations, also
Puzzlement by auricular fibrillation.Population ratio with auricular fibrillation increases with the age, the population of the right side of fifty, only
0.14%, and 60 to 70 years old age level, then be promoted to 4%, and once more than 80 years old, then is more than that 14% older can be intentionally
The dynamic problem of atrial fibrillation.
The diagnosis of auricular fibrillation relies primarily on the variation of electrocardiogram, and health care professional is needed to observe 24 hours hearts of patient
Electrograph, and carry out artificial interpretation is recorded with continuous ECG as reference data, its benefit is that operation is easy and speed
Fastly.Analysis method is to detect the interval of each QRS complex in continuous ECG, and adjacent R wave represents heartbeat week
Phase, it is R-R interval that the spacing between this period and period, which is unit with millisecond (ms), and by continuous R-R
The continuous spacing that interval is constituted then represents heart rate variability, is defined as normal-to-normal (NN)
Interval reapplies the degree of variation size that ASSOCIATE STATISTICS method quantifies these heartbeat intervals.Currently used temporal analysis and
Index is as follows:
1. heartbeat interval standard deviation (standard deviation of all normal to normal
Intervals, SDNN)-all normal heartbeat interphases standard deviation, that is, become the extraction of square root of variance (variance), mark
Quasi- difference is bigger, and heart rate variability is bigger, and unit is millisecond (ms).
2. poor (the standard deviation of average normal to of short period heartbeat interval average
Normal intervals index, SDANN index)-first calculate the short time average normal heartbeat interphase standard deviation,
Then the standard deviation of whole average normal heartbeat interphase is calculated again, and unit is millisecond (ms).
3. average value (the standard deviation ofall normal to normal of heartbeat interval standard deviation
Intervals index, SDNN index)-first calculate short time normal heartbeat interphase standard deviation, then calculate whole process again
The average of the standard deviation of normal heartbeat interphase is poor, and unit is millisecond (ms).
4. root mean square (the square root ofthe mean of adjacent normal heartbeat interphase squared difference sum
Squared differences ofsuccessive NN intervals, RMSSD)-calculate between all adjacent normal heartbeats
The root mean square (difference of the latter heartbeat spacing and previous heartbeat spacing RR) of phase squared difference sum, unit are millisecond (ms).
5.NN50(number ofpairs ofadjacentNN intervals differing by more than
50ms in the entire recording) index-calculate all normal heartbeat spacing be more than 50 milliseconds (ms)
Number, can assess parasympathetic activity, unit is number whereby.
6.pNN50(NN50count divided by the total number ofall NN intervals) refers to
It is more than the number of 50 milliseconds (ms) except upper total normal heartbeat spacing number, conversion that mark-, which will calculate the difference between per secondary heartbeat,
Percentage out, unit are percentage (%).
In the above time domain index, RMSSD, NN50、pNN50Belong to short-term degree of variation index, to estimate heart rate variability
The degree of variation (having confirmed that this index represents parasympathetic functions) of medium-high frequency is in the correlation of height between this three.Clinically
Most often suggest that the heart rate variability metrics being used to when doing time-domain analysis have SDNN (index of whole heart rate variability), SDANN (long
The index of phase heart rate variability) and RMSSD (index of short-term heart beat mobility).
Summary of the invention
The present invention proposes that one kind can rapidly speculate the heartbeat signal analysis system, method and storage this method of auricular fibrillation
Machine-readable medium, known judge that the mode of auricular fibrillation is relatively time consuming to patient and health care professional for solving
The technical issues of.
Heartbeat signal analysis method for speculating auricular fibrillation of the invention includes: to provide the n continuous hearts in 5 minutes
Hop-information, n are the positive integer greater than 1；The 0th heartbeat message is calculated to each heartbeat message between n-th of heartbeat message
Time difference is to obtain n heartbeat pitch information；Calculate obtain wholeheartedly hopscotch away from standard deviation；Judging the standard deviation of heartbeat spacing is
It is no more than a threshold value, threshold value 100；And if the determination result is YES, then it is speculated as auricular fibrillation.
The various features of heartbeat signal analysis method for speculating auricular fibrillation of the invention can be encoded for computer
Program, and the machine-readable medium readable storage medium for being stored in any computer or can recognizing, interpreting for processor system
On, therefore the machine-readable medium of the heartbeat signal analysis method of storage of the invention for speculating auricular fibrillation comprising one
Or multiple instruction sequence, when being executed by one or more processors, the instruction sequence causes: reading the n continuous hearts in 5 minutes
Hop-information, n are the positive integer greater than 1；The 0th heartbeat message is calculated to each heartbeat message between n-th of heartbeat message
Time difference is to obtain n heartbeat pitch information；Calculate obtain wholeheartedly hopscotch away from standard deviation；Judging the standard deviation of heartbeat spacing is
It is no more than a threshold value, threshold value 100；And if be judged as YES, be speculated as auricular fibrillation.
Of the invention is used to speculate that the heartbeat signal analysis system of auricular fibrillation includes: a heartbeat message measurement unit, one
Storage element and a processing unit 13.Heartbeat message measurement unit is to obtain in 5 minutes n continuous heartbeat messages, n
Positive integer greater than 1；Storage element is electrically connected at heartbeat message measurement unit, and to store the n continuous hearts in 5 minutes
Hop-information；Processing unit is electrically connected at storage element, and believes to calculate in 5 minutes the 0th heartbeat message to n-th of heartbeat
Between breath the time difference of each heartbeat message to obtain n heartbeat pitch information, and calculate obtain wholeheartedly hopscotch away from standard
Whether difference, processing unit further judge the standard deviation of heartbeat spacing more than a threshold value, threshold value 100, if being judged as YES,
It is speculated as auricular fibrillation.
In order to make skilled in the art realises that the technology of the present invention content, advantage and implement accordingly, with reference to the accompanying drawing with
The present invention is described in detail for specific embodiment.
Detailed description of the invention
Fig. 1 is the flow chart of an embodiment of heartbeat signal analysis method of the present invention for speculating auricular fibrillation；
Fig. 2 is the configuration diagram of an embodiment of heartbeat signal analysis system of the present invention for speculating auricular fibrillation；
Fig. 3 is that acquired, calculating or processing obtain 24 hours heart rate variabilities of a subject in one embodiment of the invention
Property figure (a) RR and (b) SD；
Fig. 4 is that SD analyzes result figure.
Description of symbols: S101~S105 is used to speculate the heartbeat signal analysis method steps flow chart of auricular fibrillation；10
For speculating the heartbeat signal analysis system of auricular fibrillation；11 heartbeat message measurement units；12 storage elements；13 processing units；
14 prompt units.
Specific embodiment
Fig. 1 shows an embodiment of heartbeat signal analysis method of the present invention for speculating auricular fibrillation, as shown,
The present invention is for speculating that the heartbeat signal analysis method of auricular fibrillation includes step S101~S105.Step S101: it provides 5 minutes
Interior n continuous heartbeat messages, n are the positive integer greater than 1.Step S102: it calculates the 0th heartbeat message and believes to n-th of heartbeat
The time difference of each heartbeat message is between breath to obtain n heartbeat pitch information (RR).Step S103: it calculates and obtains a heartbeat
The standard deviation (SD parameter) of spacing.Step S104: judge the standard deviation of heartbeat spacing whether more than a threshold value, threshold value 100.S
Step 105: if being judged as YES, being speculated as auricular fibrillation.In step s 103, SD parameter equation is as follows, and meanRR is the 1st
Heartbeat pitch information (RR1) to n-th of heartbeat pitch information (RRn) average value:
Disclosed method can be applicable in computer system or microprocessor system in the embodiment of the present invention.The present invention is real
Apply example execution step can the encoded instruction sequence for software program, software program can be stored in any system and can distinguish
The machine-readable medium known, interpreted, or include the article and device of above-mentioned machine-readable medium, it is not limited to any form,
Above-mentioned article can be hard disk, floppy disk, CD, ZIP, magneto-optical device (MO), IC chip, random access memory (RAM) or any
What those who are familiar with this art can be used includes the article of above-mentioned programmed recording medium.
Computer system may include display device, processor, memory, input unit and storage device.Wherein, input dress
Setting can be to the data such as input image, text, instruction to computer system.Storage device be, for example, hard disk, CD-ROM drive or by
The remote data base of internet connection can also store this hair to stocking system program, application program and user's data etc.
The software program that bright embodiment is write as.Memory system is configured to temporarily store the program of data or execution.Processor is to operation and processing
Data etc..Display device is then to show the data of output.It is corresponding when computer system executes the method for the embodiment of the present invention
Program be just loaded memory, with cooperate processor execute the embodiment of the present invention method.Finally, again will be as the result is shown in display
Device is stored in storage device.
The present invention is used to speculate that the various features of the heartbeat signal analysis method of auricular fibrillation can encoded to be instruction sequence,
And on the machine-readable medium readable storage medium that is stored in any computer or can be recognized for processor system, interpreted, because
The machine-readable medium (not shown) of heartbeat signal analysis method of this storage of the invention for speculating auricular fibrillation, packet
One or more instruction sequences are included, when being executed by one or more processors, which causes: it is a continuous to read n in 5 minutes
Heartbeat message, n is positive integer greater than 1；The 0th heartbeat message is calculated to believe to each heartbeat between n-th of heartbeat message
The time difference of breath is to obtain n heartbeat pitch information (RR)；Calculate obtain wholeheartedly hopscotch away from standard deviation (SD parameter)；Judge the heart
Hopscotch away from standard deviation whether more than a threshold value, threshold value 100；And if be judged as YES, be speculated as auricular fibrillation.
Fig. 2 shows the framework of an embodiment of heartbeat signal analysis dress system of the present invention for speculating auricular fibrillation,
As shown, the present invention is for speculating that the heartbeat signal analysis system 10 of auricular fibrillation includes: a heartbeat message measurement unit 11
An and processing unit 13.Heartbeat message measurement unit 11 is greater than 1 to obtain n continuous heartbeat messages in 5 minutes, n
Positive integer, heartbeat message measurement unit 11 can be the ecg equipments such as elecrocardiogram recorder or other can be used to measure
The equipment of heartbeat message, since the potential change of heart is because the ion flow on cell membrane is formed, signal is very faint,
The equipment such as elecrocardiogram recorder, which need to first carry out some pre-treatments, could obtain decipherable physiological signal, respectively amplification signal with
And filtering, the faint physiological signal that electrode is received amplify, it is therefore an objective to signal is promoted to noise ratio (specific gravity for improving signal), and
Filtering mode is divided into low pass and high-pass filtering, to reject the frequency band for being not belonging to physiological range, it is ensured that the physiological signal of circuit amplification
Authenticity.Processing unit 13 is electrically connected at heartbeat message measurement unit 11, receives acquired by heartbeat message measurement unit 11
Heartbeat message, and to calculate in 5 minutes the 0th heartbeat message to each heartbeat message between n-th of heartbeat message
Time difference to obtain n heartbeat pitch information (RR), and calculate obtain wholeheartedly hopscotch away from standard deviation (SD parameter), SD parameter is public
Formula is as follows, and meanRR is the 1st heartbeat pitch information ((RR1) to n-th of heartbeat pitch information (RRn) average value:
Whether processing unit 13 further judges the standard deviation of heartbeat spacing more than a threshold value, threshold value 100, if judgement
Be it is yes, then be speculated as auricular fibrillation.Processing unit 13 can be one or more processors, microprocessor or it is other have data
It handles with the equipment of operation and realizes.
In preferred embodiment, for speculating the heart rate signal analysis system 10 of auricular fibrillation also comprising a prompt unit
14, it is electrically connected at processing unit 13, and to when processing unit 13 judges that mean difference value information is more than threshold value 100
Wait generate auricular fibrillation prompt signal, prompt unit 14 be, for example, a display, using sound, light, image, text or
Other any modes that can notify testee's detecting result are realized.
In preferred embodiment, for speculating the heart rate signal analysis system 10 of auricular fibrillation also comprising a storage element
12, it is electrically connected at heartbeat message measurement unit 11 and processing unit 13, and taken to store heartbeat message measurement unit
N continuous heartbeat messages in 5 minutes are obtained, processing unit 13 can be allowed to carry out processing analysis, and analysis result is stored in wherein,
Storage element 12 can be but not limited to the volatile storage of such as random access memory, such as read-only memory, flash memory
Non-volatile storage, hard disk, or any combination thereof or other equipment with information storing capacity realize.
In preferred embodiment, for speculating the heart rate signal analysis system 10 of auricular fibrillation also comprising a transmission unit
(not shown), can by acquired by above-mentioned each unit, calculate or the obtained data of processing, be transmitted through the network to web service
Device allows manager or user to be browsed.
Heart rate variability is a kind of method for measuring successive heartbeat rate variation degree, by heartbeat between R wave and R wave
Spacing carry out the analysis method of time-domain analysis and frequency-domain analysis, SD parameter used in the present invention be using time-domain analysis, point
The standard deviation of whole normal heartbeat spacing is analysed, unit is millisecond.
Heartbeat message of the invention can be obtained by electrocardiogram (Electrocardiography, ECG or EKG), such as
Record the ECG signal of subject daytime, each subject measures 5 minutes ECG signals, and subject's posture is to be seated and breathe just
Often.
The original signal of ECG is to be recorded using the digital quantizer of 8bit, and the resolution ratio of the converter is
256Hz, the ECG signal meeting subsequent analytical procedure of real-time perfoming after number conversion, while can also access in such as memory card
Equal storage elements, future can carry out off-line analysis, and acquisition, storage, the data processing of signal all can be at computer system or micro- places
It is executed in reason device system.
Program language can be used to be write for the analysis software program of heart rate variability, such as Pascal language, but the present invention
It is not limited.And the pre-treatment of ECG signal then be can be used Task Force, 1996 method, but the present invention not as
Limit.Program can detect each QRS wave and be compared with QRS standard form, then resample to RR spacing, and with linear
Mode carries out 64Hz interpolation method to provide the continuity of time-domain analysis.
Fig. 3 is that acquired, calculating or processing obtain 24 hours heart rate variabilities of a subject in one embodiment of the invention
Property figure, wherein figure (a) is RR, figure (b) is SD, and the units of two figure Y-axis is millisecond (ms), and X-axis unit is hour, be should be noted
It is that the present invention only needs to provide continuous heartbeat message in 5 minutes, can rapidly speculates whether be auricular fibrillation, but sustainable
Monitoring 24 hours, allows subject to obtain more information.And the heart rate of atrial fibrillation patients once occurred by measurement for the present invention
Variability, and another group of ages of measurement, gender are consistent but never occurred the heart rate variability of the Healthy People of auricular fibrillation, into
Row statistical analysis, obtains SD analysis result figure such as Fig. 4, and the change of its heart rate of the patient of auricular fibrillation once occurred as the result is shown for analysis
The opposite sex is compared, and the height that the Healthy People of auricular fibrillation comes did not occurred, and once occurred in its heart rate variability of the patient of auricular fibrillation
The numerical value of SD is both greater than 100, this, can be by the SD in heart rate variability by many clinical patients and the statistical data of Healthy People
Parameter facilitates Rapid Screening and reduces medical resource as the prediction index for being easier to generation auricular fibrillation in judgement crowd
It wastes, through the invention disclosed technological means, it is only necessary to continuous heartbeat message in 5 minutes be provided, can rapidly be speculated
It whether is auricular fibrillation, compared to the practice of known technology time-consuming and labor intensive, actually a huge progress.
Feature of the various embodiments described above to illustrate the present invention, purpose will appreciate that the present invention making those skilled in the art
Content and implement accordingly, protection scope rather than limiting the invention, therefore it is all other complete without departing from disclosed spirit
At equivalent modification or modification, should fall under the scope of the present invention.
Claims (7)
1. one kind is for speculating the heartbeat signal analysis method of auricular fibrillation, comprising:
N continuous heartbeat messages in 5 minutes are provided, n is the positive integer greater than 1；
The 0th heartbeat message is calculated to the time difference of each heartbeat message between n-th of heartbeat message to obtain between n heartbeat
Away from information；
Calculate obtain wholeheartedly hopscotch away from standard deviation；
Whether the standard deviation of the heartbeat spacing is judged more than a threshold value, which is 100；And
If the determination result is YES, then it is speculated as auricular fibrillation.
2. a kind of machine-readable medium stored for speculating the heartbeat signal analysis method of auricular fibrillation, including one or more refer to
Sequence is enabled, the instruction sequence causes when being executed by one or more processors:
N continuous heartbeat messages in 5 minutes are read, n is the positive integer greater than 1；
The 0th heartbeat message is calculated to the time difference of each heartbeat message between n-th of heartbeat message to obtain between n heartbeat
Away from information；
Calculate obtain wholeheartedly hopscotch away from standard deviation；
Whether the standard deviation of the heartbeat spacing is judged more than a threshold value, which is 100；And
If the determination result is YES, then it is speculated as auricular fibrillation.
3. a kind of for speculating the heartbeat signal analysis system of auricular fibrillation, comprising:
One heartbeat message measurement unit, to obtain n continuous heartbeat messages in 5 minutes, n is the positive integer greater than 1；And
One processing unit is electrically connected at the heartbeat message measurement unit, to receive 5 acquired by the heartbeat message measurement unit
N continuous heartbeat message in minute, and the 0th heartbeat message is calculated in 5 minutes to each heart between n-th of heartbeat message
The time difference of hop-information to obtain n heartbeat pitch information, and calculate obtain wholeheartedly hopscotch away from standard deviation, processing unit judgement
Whether more than a threshold value, which is 100 to the standard deviation of heartbeat spacing, if the determination result is YES, is then speculated as auricular fibrillation.
Also include a storage element 4. system as claimed in claim 3, be electrically connected at the heartbeat message measurement unit and
The processing unit.
5. system as claimed in claim 3 further includes a prompt unit, is electrically connected at the processing unit.
6. system as claimed in claim 4, wherein the prompt unit is a display.
7. system as claimed in claim 4 further includes a transmission unit.
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|---|---|---|---|
| TW106127148A TW201909840A (en) | 2017-08-10 | 2017-08-10 | System, method and machine-readable medium for detecting atrial fibrillation |
| TW106127148 | 2017-08-10 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023103156A1 (en) * | 2021-12-10 | 2023-06-15 | 华中科技大学 | Atrial fibrillation occurrence risk prediction system based on heartbeat rhythm signals and application thereof |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101150981A (en) * | 2005-02-25 | 2008-03-26 | 约瑟夫·威塞尔 | Method and apparatus for detecting atrial fibrillation |
| US20100010360A1 (en) * | 2005-03-07 | 2010-01-14 | United Therapeutics Corporation | Atrial Fibrillation Detection |
| CN106073755A (en) * | 2016-05-27 | 2016-11-09 | 成都信汇聚源科技有限公司 | The implementation method that in a kind of miniature holter devices, atrial fibrillation identifies automatically |
| CN106691423A (en) * | 2015-11-13 | 2017-05-24 | 庆旺科技股份有限公司 | Wearable device and signal processing method of assessing heart health by heartbeat signals |
-
2017
- 2017-08-10 TW TW106127148A patent/TW201909840A/en unknown
- 2017-09-28 CN CN201710900161.XA patent/CN109390054A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101150981A (en) * | 2005-02-25 | 2008-03-26 | 约瑟夫·威塞尔 | Method and apparatus for detecting atrial fibrillation |
| US20100010360A1 (en) * | 2005-03-07 | 2010-01-14 | United Therapeutics Corporation | Atrial Fibrillation Detection |
| CN106691423A (en) * | 2015-11-13 | 2017-05-24 | 庆旺科技股份有限公司 | Wearable device and signal processing method of assessing heart health by heartbeat signals |
| CN106691423B (en) * | 2015-11-13 | 2019-09-24 | 庆旺科技股份有限公司 | The wearable device and signal processing method of health of heart are assessed by heartbeat signal |
| CN106073755A (en) * | 2016-05-27 | 2016-11-09 | 成都信汇聚源科技有限公司 | The implementation method that in a kind of miniature holter devices, atrial fibrillation identifies automatically |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023103156A1 (en) * | 2021-12-10 | 2023-06-15 | 华中科技大学 | Atrial fibrillation occurrence risk prediction system based on heartbeat rhythm signals and application thereof |
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Application publication date: 20190226 |