CN113712570A - Long-interval electrocardiosignal data early warning method - Google Patents
Long-interval electrocardiosignal data early warning method Download PDFInfo
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Abstract
The embodiment of the invention relates to a long intermittent electrocardiosignal data early warning method, which comprises the following steps: acquiring an ECG signal; carrying out electrocardiosignal data sampling on the ECG signal to obtain an electrocardiosignal data sequence; extracting R point data from the electrocardiosignal data sequence to obtain an R point data sequence; calculating absolute difference values of adjacent R point data in the R point data sequence to obtain an inter-heartbeat data sequence; when the inter-cardiac beat data is larger than or equal to the long pause threshold, marking the inter-cardiac beat data as long pause electrocardiosignal data, inquiring a long pause grade list according to the long pause electrocardiosignal data to obtain long pause grade event information, and performing early warning processing according to the long pause grade event information. The invention provides a long intermittent electrocardiosignal data early warning method, electronic equipment and a readable storage medium, wherein an early warning processing flow for the long intermittent electrocardiosignal data is added in a monitoring flow of an electrocardio monitoring device, and the monitoring range of the electrocardio monitoring device is expanded.
Description
Technical Field
The invention relates to the technical field of signal processing, in particular to a long-interval electrocardiosignal data early warning method.
Background
The electrocardiograph monitoring device is a device for monitoring the electrical activity of the heart, and after acquiring a real-time Electrocardiogram (ECG) signal of a patient, performs electrocardiograph signal data recognition on the ECG signal to obtain corresponding event information, further activates corresponding alarm operation according to the event information, and prompts medical staff to perform timely intervention or treatment on the state of the patient. There are 3 typical waveforms in an ECG signal: p-wave, QRS complex (consisting of Q-wave, R-wave, and S-wave), and T-wave. Among them, the QRS complex is the most characteristic waveform, and its higher amplitude (the maximum amplitude point is the peak point of R wave, called as R point) makes the QRS complex easier to identify compared with P wave and T wave. In an ECG signal, the time interval of adjacent R points is specifically considered as a cardiac cycle time, called the heart beat interval.
Long intermittence of the heart refers to the cessation of activity in the atrium or the entire heart due to the inability of the sinoatrial node of the heart to produce impulses. When long pauses occur, the inter-cardiac beat interval is longer than the interval values at which the heart is normally active. Discomfort symptoms such as dizziness and the like can be caused when the heart appears in long intermission, and sudden cardiac death can be caused when the condition is serious.
Disclosure of Invention
The invention aims to provide a long intermittent electrocardiosignal data early warning method, an electronic device and a readable storage medium aiming at the defects of the prior art, and the early warning processing flow of the long intermittent electrocardiosignal data is added in the monitoring flow of the electrocardio monitoring device, so that the monitoring range of the electrocardio monitoring device is expanded.
In order to achieve the above object, a first aspect of the embodiments of the present invention provides a long intermittent electrocardiographic signal data early warning method, where the method includes:
acquiring an ECG signal;
carrying out electrocardiosignal data sampling processing on the ECG signal to generate electrocardiosignal data, and forming an electrocardiosignal data sequence by the electrocardiosignal data;
performing R point data extraction processing on the electrocardiosignal data sequence to generate an R point data sequence; the R point data sequence comprises a plurality of R point data;
performing absolute difference value calculation processing on the adjacent R point data in the R point data sequence to generate interval of heart beat data, and forming an interval of heart beat data sequence by the interval of heart beat data;
and identifying and processing long intermittent electrocardiosignal data according to a long intermittent threshold value for each piece of the interval data in the interval data sequence, marking the interval data as the long intermittent electrocardiosignal data when the interval data is greater than or equal to the long intermittent threshold value, inquiring a long intermittent grade list according to the long intermittent electrocardiosignal data to obtain corresponding long intermittent grade event information, and performing corresponding early warning processing according to the long intermittent grade event information.
Preferably, the performing R point data extraction processing on the electrocardiographic signal data sequence to generate an R point data sequence specifically includes:
carrying out QRS complex signal identification processing on the electrocardiosignal data sequence to generate QRS complex signal data, and forming a QRS complex signal data sequence by the QRS complex signal data; the electrocardiosignal data sequence comprises a plurality of P wave signal data, a plurality of QRS complex signal data and a plurality of T wave signal data; the P wave signal data, the QRS complex signal data and the T wave signal data respectively comprise a plurality of electrocardiosignal data; the electrocardiosignal data specifically comprises signal amplitude information and signal time information;
for the QRS complex signal data in the QRS complex signal data sequence, extracting the electrocardiosignal data of which the signal amplitude information is the maximum value to generate R point signal data, extracting the signal time information from the R point signal data to generate the R point data, and forming the R point data sequence by the R point data.
Preferably, the querying a long intermittent grade list according to the long intermittent electrocardiographic signal data to obtain corresponding long intermittent grade event information specifically includes:
polling the long intermittent grade records of the long intermittent grade list according to the long intermittent electrocardiosignal data, and extracting the grade event identification of the long intermittent grade record to generate the long intermittent grade event information when the grade threshold range of the long intermittent grade record comprises the long intermittent electrocardiosignal data; the long pause level list comprises a plurality of the long pause level records; the long pause level record includes the level event identification and the level threshold range.
Preferably, the long intermittent level event information at least comprises long intermittent primary event information and long intermittent secondary event information; and the risk levels of the long intermittent primary event information and the long intermittent secondary event information are sequentially increased.
Preferably, the performing the corresponding early warning processing according to the long pause level event information specifically includes:
when the long intermittent level event information is the long intermittent primary event information, performing primary long intermittent event early warning processing;
and when the long intermittent grade event information is the long intermittent secondary event information, performing secondary long intermittent event early warning processing.
Preferably, after the long intermittent electrocardiosignal data is used for querying the long intermittent grade list to obtain the corresponding long intermittent grade event information, the method further comprises the following steps:
acquiring a data set of occurred primary events and the total number of the occurred primary events;
when the long intermittent level event information is the long intermittent primary event information, performing data adding processing on the long intermittent electrocardiosignal data to the occurred primary event data set, and adding 1 to the total number of the occurred primary events; carrying out early warning information display processing on the data set of the occurred primary events and the total number of the occurred primary events;
acquiring a data set of generated secondary events and the total number of the generated secondary events;
when the long intermittent level event information is the long intermittent secondary event information, performing data adding processing on the long intermittent electrocardiosignal data to the occurred secondary event data set, and adding 1 to the total number of the occurred secondary events; and performing early warning information display processing on the data set of the occurred secondary events and the total number of the occurred secondary events.
A second aspect of an embodiment of the present invention provides an electronic device, including: memory, processor and transceiver:
the processor is configured to be coupled to the memory, read and execute instructions in the memory, so as to implement the method steps of the first aspect;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
A third aspect of embodiments of the present invention provides a computer program product comprising computer program code which, when executed by a computer, causes the computer to perform the method of the first aspect.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the method of the first aspect.
According to the long-intermittent electrocardiosignal data early warning method, the electronic device and the readable storage medium, the early warning processing flow of the long-intermittent electrocardiosignal data is added in the monitoring flow of the electrocardio monitoring device, and the monitoring range of the electrocardio monitoring device is expanded.
Drawings
Fig. 1 is a schematic diagram of a long intermittent electrocardiographic signal data early warning method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an ECG signal provided according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a warning information display processing method according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a long intermittent electrocardiosignal data early warning method, which adds an early warning processing flow to long intermittent electrocardiosignal data in the monitoring flow of an electrocardio monitoring device, enlarges the monitoring range of the electrocardio monitoring device: after the ECG monitoring equipment obtains the ECG signal, continuously sampling and extracting R point data to obtain an R point data sequence, calculating absolute difference values of adjacent R point data to obtain a heart interval difference data sequence, identifying and processing long intermittent electrocardiosignal data of the heart interval difference data sequence to obtain long intermittent grade event information, and performing early warning processing according to the long intermittent grade event information.
As shown in fig. 1, which is a schematic diagram of a long intermittent electrocardiographic signal data early warning method provided in an embodiment of the present invention, the method mainly includes the following steps:
step 1, an ECG signal is acquired.
Specifically, the electrocardiograph monitoring device acquires an ECG signal of the patient by directly acquiring the patient, can also acquire the ECG signal of the patient by connecting with other ECG acquisition devices, and can also acquire the ECG signal stored in the database by connecting with the database; the ECG monitoring equipment carries out ECG signal data sampling processing on the ECG signal according to the specified sampling frequency to obtain ECG signal data to form an ECG signal data sequence.
Here, the electrocardiographic monitoring device is a terminal device or a server for monitoring the electrical activity of the heart.
Step 2, carrying out electrocardiosignal data sampling processing on the ECG signal to generate electrocardiosignal data, and forming an electrocardiosignal data sequence by the electrocardiosignal data;
the electrocardiosignal data comprise signal amplitude information and signal time information.
Specifically, the electrocardiograph monitoring device performs electrocardiograph signal data sampling processing on the ECG signal according to a specified sampling frequency to generate electrocardiograph signal data, and the electrocardiograph signal data sequence is composed of a plurality of electrocardiograph signal data.
Here, the signal time information of the electrocardiographic signal data is sampling time point information, and the signal amplitude information of the electrocardiographic signal data is ECG signal amplitude information at the sampling time point.
wherein the R point data sequence comprises a plurality of R point data;
the method specifically comprises the following steps: step 31, performing QRS complex signal identification processing on the electrocardiosignal data sequence to generate QRS complex signal data, and forming the QRS complex signal data sequence by the QRS complex signal data;
the electrocardiosignal data sequence comprises a plurality of P wave signal data, a plurality of QRS complex signal data and a plurality of T wave signal data; the P wave signal data, the QRS wave group signal data and the T wave signal data respectively comprise a plurality of electrocardiosignal data;
here, as shown in fig. 2, which is a schematic diagram of an ECG signal provided by an embodiment of the present invention, the ECG signal includes a P-wave signal, a QRS complex signal, and a T-wave signal; extracting a QRS complex signal from the ECG signal, wherein each QRS complex signal data comprises a plurality of electrocardiographic signal data generated by sampling;
and step 32, extracting electrocardiosignal data with maximum signal amplitude information to generate R point signal data for QRS complex signal data in the QRS complex signal data sequence, extracting signal time information from the R point signal data to generate R point data, and forming the R point data sequence by the R point data.
Here, as shown in fig. 2, each QRS complex signal includes 1Q-point signal, 1R-point signal, and 1S-point signal, and the amplitude of the R-point signal is the largest of all signal amplitudes in the QRS complex signal, where the electrocardiographic signal data with the largest amplitude is extracted from all electrocardiographic signal data of the QRS complex signal data to be used as R-point signal data, and then signal time information is extracted from the R-point signal data to obtain R-point data.
And 4, performing absolute difference value calculation processing on adjacent R point data in the R point data sequence to generate inter-heartbeat data, and forming an inter-heartbeat data sequence by the inter-heartbeat data.
Here, the inter-beat data is the absolute difference between adjacent R-point data.
For example, the R point data sequence is the R point data sequence { R }1，R2…R100In which R is1，R2By analogy of R100Respectively 1 st, 2 nd, and by analogy 100 th R point data, the heart interval data sequence should be the heart interval data sequence { RR1，RR2…RR99Where RR1＝abs(R2-R1)、RR2＝abs(R3-R2) And analogy of RR99＝abs(R100-R99) Respectively, the 99 th interval data of 1 st, 2 nd and so on; abs () here is an absolute valued function.
And 5, identifying and processing long intermittent electrocardiosignal data for each piece of the interval data in the interval data sequence according to a long intermittent threshold, marking the interval data as the long intermittent electrocardiosignal data when the interval data is greater than or equal to the long intermittent threshold, inquiring a long intermittent grade list according to the long intermittent electrocardiosignal data to obtain corresponding long intermittent grade event information, and performing corresponding early warning processing according to the long intermittent grade event information.
The long pause threshold is a bottom threshold used for defining whether the inter-heartbeat data is long pause electrocardiosignal data, the electrocardiograph monitoring device uses the long pause threshold to check the inter-heartbeat data in the inter-heartbeat data sequence in sequence, marks the inter-heartbeat data exceeding the long pause threshold as the long pause electrocardiosignal data, carries out grade judgment on the long pause electrocardiosignal data to obtain corresponding long pause grade event information, and then executes corresponding early warning processing according to the long pause grade event information. Here, the electrocardiograph monitoring device performs early warning processing once when marking one long intermittent electrocardiograph signal data.
For example, the long pause threshold is 3 seconds, and 10 inter-cardiac-beat data exceeding 3 seconds in the inter-cardiac-beat data sequence are marked as long pause electrocardiograph signal data, 10 pieces of long pause level event information are correspondingly obtained, and 10 times of early warning processing is performed.
In step 5, the long intermittent level event information at least comprises long intermittent primary event information and long intermittent secondary event information; and the risk levels of the long intermittent primary event information and the long intermittent secondary event information are sequentially increased.
Here, the long pause level event information includes at least two levels of event information in order of the risk level from low to high: long intermittent primary event information and long intermittent secondary event information; for the long intermittent level event information, the electrocardiogram monitoring equipment can also increase more level event information above two levels according to the actual application requirements, for example; long intermittent tertiary event information, long intermittent quaternary event information, and the like.
In step 5, inquiring the long intermittent grade list according to the long intermittent electrocardiosignal data to obtain corresponding long intermittent grade event information, which specifically comprises the following steps: polling the long intermittent grade records of the long intermittent grade list according to the long intermittent electrocardiosignal data, and extracting the grade event identification of the long intermittent grade records to generate long intermittent grade event information when the grade threshold range of the long intermittent grade records comprises the long intermittent electrocardiosignal data; wherein the long pause level list comprises a plurality of long pause level records; the long intermittent rating record includes a rating event identification and a rating threshold range.
Here, the long pause level list structure is shown in table one, where N is an integer greater than 0,
| long intermittent hierarchical record indexing | Rating event identification | Range of grade threshold |
| 1 st long intermittent rating record | Level 1 event identification | Level 1 threshold range |
| Nth long pause level recording | Nth level event identification | Nth order threshold range |
Watch 1
The grade event identification corresponds to specific long intermittent grade event information, and when one piece of long intermittent electrocardiosignal data is within a specific grade threshold range, the grade event identification corresponding to the specific grade threshold range is used as the long intermittent grade event information corresponding to the long intermittent electrocardiosignal data.
For example, if the long intermittent electrocardiographic signal data is 11 seconds, and the long intermittent level list is specifically shown in table two, the electrocardiographic monitoring device queries table two according to the long intermittent electrocardiographic signal data, and because the level threshold range (greater than 10 seconds) of the 2 nd long intermittent level record includes the long intermittent electrocardiographic signal data (11 seconds), the level event identifier (long intermittent secondary event identifier) of the 2 nd long intermittent level record is extracted as the long intermittent level event information.
| Long intermittent hierarchical record indexing | Rating event identification | Range of grade threshold |
| 1 st long intermittent rating record | Long intermittent |
3 seconds to 10 seconds |
| 2 nd long intermittent rating record | Long intermittent secondary event identification | More than 10 seconds |
Watch two
In step 5, performing corresponding early warning processing according to the long intermittent level event information, specifically comprising: when the long intermittent level event information is long intermittent primary event information, performing primary long intermittent event early warning processing; and when the long intermittent level event information is long intermittent secondary event information, performing secondary long intermittent event early warning processing.
Here, since the risk level of the long intermittent primary event information is smaller than that of the long intermittent secondary event information, the early warning strength of the early warning processing of the primary long intermittent event is also smaller than that of the early warning processing of the secondary long intermittent event.
For example, the signal lamp is called by the long intermittent primary event information electrocardiogram monitoring equipment to carry out red light flicker early warning, and the buzzer is called by the long intermittent secondary event information electrocardiogram monitoring equipment to carry out high-pitch buzz early warning while the signal lamp is called to carry out red light flicker early warning.
In step 5 of the first embodiment, after the long intermittent level list is queried according to the long intermittent electrocardiosignal data to obtain corresponding long intermittent level event information, all the occurred long intermittent electrocardiosignal data and the total number of the long intermittent level events are subjected to classified statistics and display, so that convenience is provided for medical staff to check or review the long intermittent electrocardiosignal data of the patient.
As shown in fig. 3, which is a schematic diagram of an early warning information display processing method according to a second embodiment of the present invention, the method mainly includes the following steps:
Specifically, the electrocardiograph monitoring device acquires a data set of occurred primary events and a total number of the occurred primary events from a local storage medium; a primary event data set occurs, and specifically comprises long intermittent electrocardiosignal data corresponding to all the long intermittent primary event information before the current time point; the total number of the occurred primary events, specifically the total number of the long intermittent primary event information before all the current time points.
Here, the primary event data set has occurred so that the healthcare worker may review or review specific information for each of the patient's long pause primary event information, and the total number of primary events has occurred so that the healthcare worker may observe the patient's long pause trends.
For example, the electrocardiographic monitoring device has acquired 2 segments of ECG signals (segment 1 ECG signal and segment 2 ECG signal), and currently identifies segment 3 ECG signal, and it is known that the total number of the long intermittent primary event information identified in segment 1 ECG signal is 4, the total number of the long intermittent primary event information identified in segment 2 ECG signal is 2, and 1 long intermittent primary event information has been identified in segment 3 ECG signal, then the occurring primary event data set includes 4+2+ 1-7 long intermittent electrocardiographic signal data, and the total number of the occurring primary events is 7.
And step 562, when the long intermittent level event information is the long intermittent level event information, adding data to the data set of the occurred level events by the long intermittent electrocardiosignal data, and adding 1 to the total number of the occurred level events.
Here, in step 5 of the first embodiment, when the long intermittent level list is queried according to the long intermittent electrocardiographic signal data to obtain corresponding long intermittent level event information, specifically long intermittent primary event information, the long intermittent electrocardiographic signal data needs to be added to the occurred primary event data set, and meanwhile, the total number of the occurred primary events is added by 1, so as to ensure that the occurred primary event data set and the occurred primary event total number are synchronized with reality.
For example, the occurred primary event data set includes 7 long intermittent electrocardiographic signal data, the total number of the occurred primary events is 7, and in step 5 of the first embodiment, the long intermittent level list is queried according to the long intermittent electrocardiographic signal data to obtain corresponding long intermittent level event information, specifically, the long intermittent primary event information, so that the updated occurred primary event data set includes 8 long intermittent electrocardiographic signal data, and the total number of the occurred primary events is also 8.
And step 563, performing early warning information display processing on the data set of the occurred primary events and the total number of the occurred primary events.
Here, the electrocardiographic monitoring device always displays the latest data set of the occurred primary events and the total number of the occurred primary events, which provides convenience for medical staff to check or review the long intermittent electrocardiographic signal data of the patient in real time.
In step 564, the data set of occurred secondary events and the total number of occurred secondary events are obtained.
Specifically, the electrocardiograph monitoring device acquires a data set of occurred secondary events and a total number of the occurred secondary events from a local storage medium; a secondary event data set is generated, and specifically comprises long intermittent electrocardiosignal data corresponding to all the long intermittent secondary event information before the current time point; and the total number of the secondary events which have occurred is specifically the total number of the long intermittent secondary event information before all the current time points.
Here, the secondary event data set has occurred so that the healthcare worker may review or review specific information for each of the patient's long intermittent secondary event information, and the total number of secondary events has occurred so that the healthcare worker may observe the patient's long intermittent trends.
For example, the electrocardiographic monitoring device has acquired 2 segments of ECG signals (segment 1 ECG signal and segment 2 ECG signal), and currently identifies segment 3 ECG signal, and it is known that the total number of the long intermittent secondary event information identified in segment 1 ECG signal is 3, the total number of the long intermittent secondary event information identified in segment 2 ECG signal is 1, and 1 long intermittent secondary event information has been identified in segment 3 ECG signal, then there are 3+1+ 1-5 long intermittent electrocardiographic signal data included in the generated secondary event data set, and the total number of the generated secondary events is 5.
Here, in step 5 of the first embodiment, when the long intermittent level list is queried according to the long intermittent electrocardiographic signal data to obtain corresponding long intermittent level event information, specifically long intermittent secondary event information, the long intermittent electrocardiographic signal data needs to be added to the generated secondary event data set, and meanwhile, the total number of the generated secondary events is added by 1, so as to ensure that the generated secondary event data set and the generated secondary event total number are synchronized with reality.
For example, the generated secondary event data set includes 5 long intermittent electrocardiographic signal data, the total number of generated secondary events is 5, and in step 5 of the first embodiment, the long intermittent level list is queried according to the long intermittent electrocardiographic signal data to obtain corresponding long intermittent level event information, specifically, long intermittent secondary event information, so that the updated generated secondary event data set includes 6 long intermittent electrocardiographic signal data, and the total number of generated secondary events is also 6.
And 566, performing early warning information display processing on the data set of the occurred secondary events and the total number of the occurred secondary events.
Here, the electrocardiographic monitoring device always displays the latest data set of occurred secondary events and the total number of occurred secondary events, which facilitates the medical staff to check or review the long intermittent electrocardiographic signal data of the patient in real time.
Fig. 4 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. The electronic device may be the aforementioned electrocardiographic monitoring device, or may be a terminal device or a server connected to the aforementioned electrocardiographic monitoring device for implementing the method according to the embodiment of the present invention. As shown in fig. 4, the electronic device 400 may include: a processor 41 (e.g., CPU), memory 42, transceiver 43; the transceiver 43 is coupled to the processor 41, and the processor 41 controls the transceiving action of the transceiver 43. Various instructions may be stored in memory 42 for performing various processing functions and implementing the methods and processes provided in the above-described embodiments of the present invention. Preferably, the electronic device according to an embodiment of the present invention may further include: a power supply 44, a system bus 45, and a communication port 46. The system bus 45 is used to implement communication connections between the elements. The communication port 46 is used for connection communication between the electronic device and other peripherals.
The system bus mentioned in fig. 4 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM) and may also include a Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, including a central processing unit CPU, a Network Processor (NP), and the like; but also a digital signal processor DSP, an application specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components.
It should be noted that the embodiment of the present invention also provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the method and the processing procedure provided in the above-mentioned embodiment.
The embodiment of the invention also provides a chip for running the instructions, and the chip is used for executing the method and the processing process provided by the embodiment.
Embodiments of the present invention also provide a program product, which includes a computer program stored in a storage medium, from which the computer program can be read by at least one processor, and the at least one processor executes the methods and processes provided in the embodiments.
According to the long-intermittent electrocardiosignal data early warning method, the electronic device and the readable storage medium, the early warning processing flow of the long-intermittent electrocardiosignal data is added in the monitoring flow of the electrocardio monitoring device, and the monitoring range of the electrocardio monitoring device is expanded.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. A long intermittent electrocardiosignal data early warning method is characterized by comprising the following steps:
acquiring an Electrocardiogram (ECG) signal;
carrying out electrocardiosignal data sampling processing on the ECG signal to generate electrocardiosignal data, and forming an electrocardiosignal data sequence by the electrocardiosignal data;
performing R point data extraction processing on the electrocardiosignal data sequence to generate an R point data sequence; the R point data sequence comprises a plurality of R point data;
performing absolute difference value calculation processing on the adjacent R point data in the R point data sequence to generate interval of heart beat data, and forming an interval of heart beat data sequence by the interval of heart beat data;
and identifying and processing long intermittent electrocardiosignal data according to a long intermittent threshold value for each piece of the interval data in the interval data sequence, marking the interval data as the long intermittent electrocardiosignal data when the interval data is greater than or equal to the long intermittent threshold value, inquiring a long intermittent grade list according to the long intermittent electrocardiosignal data to obtain corresponding long intermittent grade event information, and performing corresponding early warning processing according to the long intermittent grade event information.
2. The long intermittent electrocardiosignal data early warning method as claimed in claim 1, wherein the R point data extraction processing is performed on the electrocardiosignal data sequence to generate an R point data sequence, and specifically comprises:
carrying out QRS complex signal identification processing on the electrocardiosignal data sequence to generate QRS complex signal data, and forming a QRS complex signal data sequence by the QRS complex signal data; the electrocardiosignal data sequence comprises a plurality of P wave signal data, a plurality of QRS complex signal data and a plurality of T wave signal data; the P wave signal data, the QRS complex signal data and the T wave signal data respectively comprise a plurality of electrocardiosignal data; the electrocardiosignal data specifically comprises signal amplitude information and signal time information;
for the QRS complex signal data in the QRS complex signal data sequence, extracting the electrocardiosignal data of which the signal amplitude information is the maximum value to generate R point signal data, extracting the signal time information from the R point signal data to generate the R point data, and forming the R point data sequence by the R point data.
3. The long intermittent electrocardiosignal data early warning method according to claim 1, wherein the querying of the long intermittent level list according to the long intermittent electrocardiosignal data to obtain the corresponding long intermittent level event information specifically comprises:
polling the long intermittent grade records of the long intermittent grade list according to the long intermittent electrocardiosignal data, and extracting the grade event identification of the long intermittent grade record to generate the long intermittent grade event information when the grade threshold range of the long intermittent grade record comprises the long intermittent electrocardiosignal data; the long pause level list comprises a plurality of the long pause level records; the long pause level record includes the level event identification and the level threshold range.
4. The long intermittent electrocardiosignal data early warning method according to claim 1,
the long intermittent level event information at least comprises long intermittent primary event information and long intermittent secondary event information; and the risk levels of the long intermittent primary event information and the long intermittent secondary event information are sequentially increased.
5. The long intermittent electrocardiosignal data early warning method according to claim 4, wherein the corresponding early warning processing is performed according to the long intermittent level event information, and specifically comprises the following steps:
when the long intermittent level event information is the long intermittent primary event information, performing primary long intermittent event early warning processing;
and when the long intermittent grade event information is the long intermittent secondary event information, performing secondary long intermittent event early warning processing.
6. The long intermittent electrocardiosignal data early warning method according to claim 4, wherein after the long intermittent level list is queried according to the long intermittent electrocardiosignal data to obtain the corresponding long intermittent level event information, the method further comprises the following steps:
acquiring a data set of occurred primary events and the total number of the occurred primary events;
when the long intermittent level event information is the long intermittent primary event information, performing data adding processing on the long intermittent electrocardiosignal data to the occurred primary event data set, and adding 1 to the total number of the occurred primary events;
carrying out early warning information display processing on the data set of the occurred primary events and the total number of the occurred primary events;
acquiring a data set of generated secondary events and the total number of the generated secondary events;
when the long intermittent level event information is the long intermittent secondary event information, performing data adding processing on the long intermittent electrocardiosignal data to the occurred secondary event data set, and adding 1 to the total number of the occurred secondary events;
and performing early warning information display processing on the data set of the occurred secondary events and the total number of the occurred secondary events.
7. An electronic device, comprising: a memory, a processor, and a transceiver;
the processor is used for being coupled with the memory, reading and executing the instructions in the memory to realize the method steps of any one of claims 1-6;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
8. A computer program product, characterized in that the computer program product comprises computer program code which, when executed by a computer, causes the computer to perform the method of any of claims 1-6.
9. A computer-readable storage medium having stored thereon computer instructions which, when executed by a computer, cause the computer to perform the method of any of claims 1-6.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1110121A (en) * | 1994-04-14 | 1995-10-18 | 王湘生 | Wearing type superminiature heart protecting system and method |
| CN103153177A (en) * | 2010-10-14 | 2013-06-12 | 株式会社村田制作所 | Pulse period computation device and bio-sensor provided with same |
| CN206792400U (en) * | 2017-01-16 | 2017-12-26 | 吉林东华原医疗设备有限责任公司 | HRV detection means |
| CN108309262A (en) * | 2018-02-24 | 2018-07-24 | 乐普（北京）医疗器械股份有限公司 | Multi-parameter monitoring data analysing method and multi-parameter monitor |
| CN110101375A (en) * | 2019-05-09 | 2019-08-09 | 上海交通大学医学院附属新华医院 | A kind of acquisition of Intensive Care Therapy data and early warning system |
| CN110558970A (en) * | 2019-10-09 | 2019-12-13 | 烟台奇创医疗科技有限公司 | electrocardiosignal analysis method for wearable intelligent underwear |
| CN110840443A (en) * | 2019-11-29 | 2020-02-28 | 京东方科技集团股份有限公司 | Electrocardiosignal processing method, electrocardiosignal processing device and electronic equipment |
-
2020
- 2020-05-12 CN CN202010399794.9A patent/CN113712570B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1110121A (en) * | 1994-04-14 | 1995-10-18 | 王湘生 | Wearing type superminiature heart protecting system and method |
| CN103153177A (en) * | 2010-10-14 | 2013-06-12 | 株式会社村田制作所 | Pulse period computation device and bio-sensor provided with same |
| CN206792400U (en) * | 2017-01-16 | 2017-12-26 | 吉林东华原医疗设备有限责任公司 | HRV detection means |
| CN108309262A (en) * | 2018-02-24 | 2018-07-24 | 乐普（北京）医疗器械股份有限公司 | Multi-parameter monitoring data analysing method and multi-parameter monitor |
| CN110101375A (en) * | 2019-05-09 | 2019-08-09 | 上海交通大学医学院附属新华医院 | A kind of acquisition of Intensive Care Therapy data and early warning system |
| CN110558970A (en) * | 2019-10-09 | 2019-12-13 | 烟台奇创医疗科技有限公司 | electrocardiosignal analysis method for wearable intelligent underwear |
| CN110840443A (en) * | 2019-11-29 | 2020-02-28 | 京东方科技集团股份有限公司 | Electrocardiosignal processing method, electrocardiosignal processing device and electronic equipment |
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