CN114533014A - Method for early warning according to heart rate ranges of different heart rhythm types - Google Patents
Method for early warning according to heart rate ranges of different heart rhythm types Download PDFInfo
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- CN114533014A CN114533014A CN202011355400.6A CN202011355400A CN114533014A CN 114533014 A CN114533014 A CN 114533014A CN 202011355400 A CN202011355400 A CN 202011355400A CN 114533014 A CN114533014 A CN 114533014A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/0245—Detecting, measuring or recording pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
- A61B5/02455—Detecting, measuring or recording pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals provided with high/low alarm devices
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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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
Abstract
The embodiment of the invention relates to a method for early warning according to heart rate ranges of different heart rhythm types, which comprises the following steps: acquiring electrocardiosignal sampling data; according to the electrocardiosignal sampling data, performing heart rate calculation processing to generate first heart rate data; according to the electrocardiosignal sampling data, carrying out heart rhythm type identification processing to generate first heart rhythm type data; inquiring a first corresponding relation table according to the first heart rate data and the first heart rate data to generate first early warning level data; inquiring a second corresponding relation table according to the first early warning level data to generate a first early warning parameter set; and carrying out first acousto-optic early warning treatment according to the first early warning parameter set. Therefore, the problems of missing report and false report which possibly occur in the heart rate early warning process under the conventional condition are solved, and the heart rate early warning precision of the electrocardio monitoring equipment is improved.
Description
Technical Field
The invention relates to the technical field of signal processing, in particular to a method for early warning according to heart rate ranges of different heart rate types.
Background
The electrocardio monitoring device is used for carrying out heart rate characteristic identification on electrocardiosignals of a patient, and when the heart rate is identified to be abnormal, early warning can be carried out according to the early warning level corresponding to the abnormal heart rate. However, in a conventional situation, the electrocardiographic monitoring device only performs threshold value determination on the heart rate, and does not distinguish the heart rate types, because the normal/abnormal ranges of the heart rate are different in different heart rate types, and if the same heart rate threshold value is used for determination, false alarm or false alarm failure may be caused.
Disclosure of Invention
The invention aims to provide a method, an electronic device, a computer program product and a computer readable storage medium for early warning according to heart rate ranges of different heart rhythm types, and aims to provide an early warning method, an early warning device, a computer program product and a computer readable storage medium for abnormal heart rate according to different heart rhythm types for acquired electrocardiosignals; therefore, the problems of missing report and false report which possibly occur in the heart rate early warning process under the conventional condition are solved, and the heart rate early warning precision of the electrocardio monitoring equipment is improved.
In order to achieve the above object, a first aspect of the embodiments of the present invention provides a method for performing early warning according to heart rate ranges of different heart rhythm types, where the method includes:
acquiring electrocardiosignal sampling data;
performing R point identification processing according to the electrocardiosignal sampling data to generate R point data, and forming an R point data sequence by the R point data; performing absolute difference processing on the adjacent R point data in the R point data sequence to generate interval data, and forming an interval data sequence by the interval data; then according to the heartbeat interval data sequence, carrying out heart rate calculation processing to generate first heart rate data;
according to the electrocardiosignal sampling data, performing heart rhythm type identification processing to generate first heart rhythm type data;
inquiring a first corresponding relation table reflecting the corresponding relation of the heart rhythm type, the heart rhythm range and the early warning level according to the first heart rhythm type data and the first heart rate data to generate first early warning level data;
inquiring a second corresponding relation table reflecting the corresponding relation between the early warning level and the early warning parameter according to the first early warning level data to generate a first early warning parameter set;
and carrying out first acousto-optic early warning treatment according to the first early warning parameter set.
Preferably, the first and second liquid crystal materials are,
the first correspondence table includes a plurality of first correspondence records; the first corresponding relation record comprises first heart rate type information, a first heart rate range and first early warning level information;
the second correspondence table includes a plurality of second correspondence records; the second corresponding relation record comprises first early warning level information, first sound early warning parameter information, first light early warning parameter information and first early warning duration parameter information;
the first early warning parameter set comprises first sound early warning data, first light early warning data and first early warning duration data.
Preferably, the querying, according to the first heart rate data and the first heart rate type data, a first correspondence table that reflects correspondence between heart rate types, heart rate ranges, and early warning levels to generate first early warning level data specifically includes:
inquiring all the first corresponding relation records of the first corresponding relation table according to the first heart rate data and the first rhythm type data; when the first heart rate data is the same as the first heart rate type information recorded by the first corresponding relation and meets the first heart rate range recorded by the first corresponding relation, extracting the first early warning level information recorded by the first corresponding relation, and generating the first early warning level data.
Preferably, the querying, according to the first early warning level data, a second correspondence table that reflects correspondence between early warning levels and early warning parameters, and generating a first early warning parameter set specifically includes:
inquiring all the second corresponding relation records of the second corresponding relation table according to the first early warning level data; when the first early warning level data is the same as the first early warning level information recorded by the second corresponding relation, extracting the first sound early warning parameter information recorded by the second corresponding relation as the first sound early warning data; extracting the first light early warning parameter information recorded by the second corresponding relation to be used as the first light early warning data; extracting the first early warning duration parameter information recorded by the second corresponding relation to be used as the first early warning duration data;
and forming the first early warning parameter set by the first sound early warning data, the first light early warning data and the first early warning duration data.
Preferably, the performing a first acousto-optic early warning process according to the first early warning parameter set specifically includes:
according to the first sound early warning data of the first early warning parameter set, taking the first early warning duration data as an early warning time length, and performing first sound early warning processing; and according to the first light early warning data of the first early warning parameter set, carrying out first light early warning processing by taking the first early warning duration data as an early warning time length.
A second aspect of an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a 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 the embodiments of the present invention provides a computer-readable storage medium, which stores computer instructions that, when executed by a computer, cause the computer to execute the instructions of the method according to the first aspect.
According to the method, the electronic device, the computer program product and the computer readable storage medium for early warning according to the heart rate ranges of different heart rhythm types, abnormal heart rate early warning is performed on the acquired electrocardiosignals according to different heart rhythm types; the problems of missing report and false report which possibly occur in the heart rate early warning process under the conventional condition are solved, and the heart rate early warning precision of the electrocardio monitoring equipment is improved.
Drawings
Fig. 1 is a schematic diagram of a method for performing early warning according to heart rate ranges of different heart rhythm types according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an electronic device according to a second embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
An embodiment of the present invention provides a method for performing an early warning according to heart rate ranges of different heart rhythm types, as shown in fig. 1, which is a schematic diagram of a method for performing an early warning according to heart rate ranges of different heart rhythm types provided by an embodiment of the present invention, the method mainly includes the following steps:
step 1, acquiring electrocardiosignal sampling data.
Specifically, the electrocardiograph monitoring device acquires electrocardiograph signal sampling data by performing electrocardiograph signal acquisition and signal sampling processing on a patient; the electrocardio monitoring device can also acquire electrocardio signals and sample the signals of the patient by connecting with an electrocardio signal sampling device to obtain electrocardio signal sampling data; the electrocardiogram monitoring equipment can also obtain the electrocardiosignal sampling data from the storage medium storing the sampling data through data reading. The electrocardiograph monitoring device is specifically a terminal device or a server capable of implementing the functions of the method of the embodiment of the invention.
Step 2, performing R point identification processing according to the electrocardiosignal sampling data to generate R point data, and forming an R point data sequence by the R point data; performing absolute difference processing on adjacent R point data in the R point data sequence to generate interval data, and forming an interval data sequence by the interval data; and then, according to the heart beat interval data sequence, carrying out heart rate calculation processing to generate first heart rate data.
The electrocardiosignal is composed of a plurality of groups of heart beat signals, each group of heart beat signals comprises 1 QRS complex, the maximum peak point in each QRS complex is the R point, the R point is identified, namely the R point with the maximum peak is found, the time information of the signal point is extracted to generate R point data, the time difference value of adjacent R points is the heart beat interval, and the heart beat interval is a necessary parameter for calculating the heart rate.
For example, the length of the cardiac signal sampling data is 12 seconds, the cardiac signal sampling data comprises 12R points, the cardiac interval data sequence comprises 11 cardiac interval data, the 11 cardiac interval data are subjected to mean calculation to obtain mean cardiac interval data, and then the first heart rate data can be obtained according to the formula that the heart rate is 60/mean cardiac interval data.
And 3, performing heart rhythm type identification processing according to the electrocardiosignal sampling data to generate first heart rhythm type data.
The electrocardiosignal consists of a plurality of groups of heartbeat signals, each group of heartbeat signals comprises waveform data such as P waves, QRS wave groups, T waves and the like, and different heart rhythm types, wherein the states and the correlations of the waveforms are different; the heart rhythm type identification processing is to use waveform characteristics of a plurality of heart rhythm types to carry out waveform identification on the electrocardiosignal sampling data, and if the current waveform conforms to the waveform characteristics corresponding to a certain heart rhythm type, the heart rhythm type of the current waveform is identified as the heart rhythm type.
Step 4, inquiring a first corresponding relation table reflecting the corresponding relation of the heart rhythm type, the heart rhythm range and the early warning level according to the first heart rhythm type data and the first heart rate data to generate first early warning level data;
wherein, the first corresponding relation table comprises a plurality of first corresponding relation records; the first corresponding relation record comprises first heart rate type information, a first heart rate range and first early warning level information;
the method specifically comprises the following steps: inquiring all first corresponding relation records of the first corresponding relation table according to the first heart rate data and the first heart rate data; and when the first heart rate data is the same as the first heart rate information recorded by the first corresponding relation and meets the first heart rate range recorded by the first corresponding relation, extracting the first early warning level information recorded by the first corresponding relation to generate first early warning level data.
Here, the first correspondence table is stored locally in the electrocardiographic monitoring device and is used for identifying different heart rhythm early warning ranges and early warning levels of different heart rhythm types. This allows the early warning heart rate to be distinguished based on the different heart rate types.
For example, if the first heart rate data is 32 times/minute, and the first correspondence table is shown in table one, the first early warning level data is level 2; here, the early warning level corresponds to the size of a natural number, and there are 3 early warning levels in table one: 1. grade 2, 3, the early warning severity of 3 promotes gradually, and conventional grade 3 early warning means emergency early warning, and grade 2 early warning means high-grade early warning, and grade 1 early warning means ordinary early warning.
Watch 1
the second corresponding relation table comprises a plurality of second corresponding relation records; the second corresponding relation record comprises first early warning level information, first sound early warning parameter information, first light early warning parameter information and first early warning duration parameter information; the first early warning parameter set comprises first sound early warning data, first light early warning data and first early warning duration data;
the method specifically comprises the following steps: inquiring all second corresponding relation records of a second corresponding relation table according to the first early warning level data; when the first early warning level data is the same as the first early warning level information recorded by the second corresponding relation, extracting first sound early warning parameter information recorded by the second corresponding relation as first sound early warning data; extracting first light early warning parameter information recorded by the second corresponding relation to be used as first light early warning data; extracting first early warning duration parameter information recorded by the second corresponding relation to be used as first early warning duration data; and forming a first early warning parameter set by the first sound early warning data, the first light early warning data and the first early warning duration data.
Here, the second correspondence table is stored locally in the electrocardiographic monitoring device, and is used for assigning different early warning parameters to different early warning levels: the early warning system comprises first sound early warning parameter information, first light early warning parameter information and first early warning duration parameter information, wherein the first sound early warning parameter information comprises information such as sound volume and frequency during early warning, the first light early warning parameter information comprises information such as light color and flicker frequency during early warning, and the first early warning duration parameter information is time length information for early warning; after the electrocardio device extracts the parameter group according to the first early warning level data, a first early warning parameter set is formed by the extracted three parameters.
For example, if the first warning level data is level 2 and the second mapping table is shown in table two, the first warning parameter set is: the first sound early warning data are 2-level sound early warning parameters, the first light early warning data are 2-level light early warning parameters, and the first early warning duration data are 2-level early warning duration parameters.
Watch two
Step 6, performing first acousto-optic early warning treatment according to the first early warning parameter set;
the method specifically comprises the following steps: according to first sound early warning data of the first early warning parameter set, taking first early warning duration data as early warning time length, and performing first sound early warning processing; and according to the first light early warning data of the first early warning parameter set, taking the first early warning duration data as the early warning time length, and carrying out first light early warning processing.
For example, the first set of early warning parameters: if the first sound early warning data is 2-level sound early warning parameters, the first light early warning data is 2-level light early warning parameters, and the first early warning duration data is 2-level early warning duration parameters, the electrocardiograph monitoring device calls an own sound component to perform sound early warning according to the 2-level sound early warning parameters, and the early warning duration is the same as the 2-level early warning duration parameters; and simultaneously, calling an own light component to perform light early warning according to the 2-level light early warning parameter, wherein the early warning time is the same as the 2-level early warning time parameter.
Fig. 2 is a schematic structural diagram of an electronic device according to a second 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. 2, the electronic device may include: a processor 21 (e.g., CPU), a memory 22, a transceiver 23; the transceiver 23 is coupled to the processor 21, and the processor 21 controls the transceiving action of the transceiver 23. Various instructions may be stored in memory 22 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 24, a system bus 25, and a communication port 26. The system bus 25 is used to implement communication connections between the elements. The communication port 26 is used for connection communication between the electronic device and other peripheral devices.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
The system bus mentioned in fig. 2 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.
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 method, the electronic device, the computer program product and the computer readable storage medium for early warning according to the heart rate ranges of different heart rhythm types, abnormal heart rate early warning is performed on the acquired electrocardiosignals according to different heart rhythm types; the problems of missing report and false report which possibly occur in the heart rate early warning process under the conventional condition are solved, and the heart rate early warning precision of the electrocardio monitoring equipment is improved.
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 (8)
1. A method for providing early warning based on heart rate ranges of different heart rhythm types, the method comprising:
acquiring electrocardiosignal sampling data;
performing R point identification processing according to the electrocardiosignal sampling data to generate R point data, and forming an R point data sequence by the R point data; performing absolute difference processing on the adjacent R point data in the R point data sequence to generate interval data, and forming an interval data sequence by the interval data; then according to the heartbeat interval data sequence, carrying out heart rate calculation processing to generate first heart rate data;
according to the electrocardiosignal sampling data, performing heart rhythm type identification processing to generate first heart rhythm type data;
inquiring a first corresponding relation table reflecting the corresponding relation of the heart rhythm type, the heart rhythm range and the early warning level according to the first heart rhythm type data and the first heart rate data to generate first early warning level data;
inquiring a second corresponding relation table reflecting the corresponding relation between the early warning level and the early warning parameter according to the first early warning level data to generate a first early warning parameter set;
and carrying out first acousto-optic early warning treatment according to the first early warning parameter set.
2. The method for pre-warning regarding heart rate range for different heart rhythm types as recited in claim 1,
the first correspondence table includes a plurality of first correspondence records; the first corresponding relation record comprises first heart rate type information, a first heart rate range and first early warning level information;
the second correspondence table includes a plurality of second correspondence records; the second corresponding relation record comprises first early warning level information, first sound early warning parameter information, first light early warning parameter information and first early warning duration parameter information;
the first early warning parameter set comprises first sound early warning data, first light early warning data and first early warning duration data.
3. The method according to claim 2, wherein the first pre-warning level data is generated by querying a first correspondence table reflecting correspondence among heart rhythm types, heart rate ranges, and pre-warning levels according to the first heart rhythm type data and the first heart rate data, and specifically includes:
inquiring all the first corresponding relation records of the first corresponding relation table according to the first heart rate data and the first heart rate data; when the first heart rate data is the same as the first heart rate type information recorded by the first corresponding relation and meets the first heart rate range recorded by the first corresponding relation, extracting the first early warning level information recorded by the first corresponding relation, and generating the first early warning level data.
4. The method according to claim 2, wherein the querying a second mapping table that reflects mapping between pre-warning levels and pre-warning parameters according to the first pre-warning level data to generate a first pre-warning parameter set includes:
inquiring all the second corresponding relation records of the second corresponding relation table according to the first early warning level data; when the first early warning level data is the same as the first early warning level information recorded by the second corresponding relation, extracting the first sound early warning parameter information recorded by the second corresponding relation as the first sound early warning data; extracting the first light early warning parameter information recorded by the second corresponding relation to be used as the first light early warning data; extracting the first early warning duration parameter information recorded by the second corresponding relation to serve as the first early warning duration data;
and forming the first early warning parameter set by the first sound early warning data, the first light early warning data and the first early warning duration data.
5. The method for performing early warning according to the heart rate ranges of different heart rhythm types according to claim 2, wherein performing a first acousto-optic early warning process according to the first early warning parameter set specifically includes:
according to the first sound early warning data of the first early warning parameter set, taking the first early warning duration data as an early warning time length, and performing first sound early warning processing; and according to the first light early warning data of the first early warning parameter set, carrying out first light early warning processing by taking the first early warning duration data as an early warning time length.
6. 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 the claims 1-5;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
7. 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 1-5.
8. 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 one of claims 1-5.
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