CN114550411B - Method for early warning of abnormal heart beat type data - Google Patents
Method for early warning of abnormal heart beat type data Download PDFInfo
- Publication number
- CN114550411B CN114550411B CN202011348712.4A CN202011348712A CN114550411B CN 114550411 B CN114550411 B CN 114550411B CN 202011348712 A CN202011348712 A CN 202011348712A CN 114550411 B CN114550411 B CN 114550411B
- Authority
- CN
- China
- Prior art keywords
- early warning
- data
- heart beat
- level
- abnormal heart
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
Landscapes
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Physiology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physical Education & Sports Medicine (AREA)
- Cardiology (AREA)
- Pulmonology (AREA)
- General Health & Medical Sciences (AREA)
- Gerontology & Geriatric Medicine (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The embodiment of the invention relates to a method for early warning abnormal heart beat type data, which comprises the following steps: acquiring first abnormal heart beat type data; inquiring a first corresponding relation table to generate first grade data; counting the highest abnormal grades corresponding to all the executing early warning processes, and generating current highest grade data; when the first level data is the first level, performing first exclusive early warning processing; when the first level data is the second level and the current highest level data is not the first level, performing second exclusive early warning processing; and when the first-level data is three-level and the current highest-level data is three-level, performing parallel early warning processing. The embodiment of the invention not only can give consideration to the forced early warning of the electrocardiographic monitoring equipment on dangerous and critical heart beat types, but also can improve the flexibility of the electrocardiographic monitoring equipment for early warning of various abnormal heart beat types, and can provide complete early warning information of the abnormal heart beat types for doctors.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method for early warning abnormal heart beat type data.
Background
And the electrocardiograph monitoring equipment is used for carrying out heart beat type characteristic identification on electrocardiograph monitoring data of a patient, and when the heart beat signal is identified to be abnormal, early warning is carried out according to the abnormal heart beat type. However, under the conventional situation, the electrocardiograph monitoring device only performs early warning on the abnormal heart beat type data one by one, or performs early warning on the abnormal heart beat type data with the largest early warning level, and when a plurality of abnormal heart beat type data occur, the electrocardiograph monitoring device can lose the abnormal heart beat type data with the lower level, so that a doctor cannot comprehensively know the overall abnormal condition of a patient.
Disclosure of Invention
The invention aims at overcoming the defects of the prior art and provides a method, electronic equipment, a computer program product and a computer readable storage medium for early warning abnormal heart beat type data, wherein abnormal grades are allocated to the abnormal heart beat type data, and when the abnormal grades are primary or secondary, exclusive early warning is carried out; when the abnormal level is three-level, four modes are provided to be combined with the early warning processing currently being executed, and parallel early warning is carried out. Therefore, the forced early warning requirement of the electrocardiograph monitoring equipment on dangerous and critical heart beat type data can be met, the flexibility of the electrocardiograph monitoring equipment for early warning of various abnormal heart beat types can be improved, and complete early warning information of the abnormal heart beat types can be provided for doctors.
To achieve the above object, a first aspect of an embodiment of the present invention provides a method for early warning abnormal heart beat type data, the method including:
acquiring first abnormal heart beat type data;
according to the first abnormal heart beat type data, inquiring all first corresponding relation records of a first corresponding relation table reflecting the corresponding relation between the abnormal heart beat type and the abnormal grade; when the first abnormal heart beat type information recorded in the first corresponding relation is the same as the first abnormal heart beat type data, extracting first abnormal grade information recorded in the first corresponding relation to generate first grade data; the first corresponding relation table comprises a plurality of first corresponding relation records; the first correspondence record includes the first abnormal heart beat type information and the first abnormal level information; the first level data is primary, secondary or tertiary; the grade of the first stage is higher than that of the second stage, and the grade of the second stage is higher than that of the third stage;
carrying out statistical processing on the highest abnormal level of the abnormal heart beat type corresponding to all the early warning processes currently being executed to generate current highest level data;
performing early warning processing according to the first grade data and/or the current highest grade data; when the first level data is the first level, performing first exclusive warning processing according to the first abnormal heart beat type data; when the first level data is the second level and the current highest level data is not the first level, performing second exclusive early warning processing according to the first abnormal heart beat type data; and when the first level data is the three levels and the current highest level data is the three levels, performing parallel early warning processing according to the first abnormal heart beat type data and preset shielding type data.
Preferably, the statistical processing is performed on the highest abnormal level of the abnormal heart beat type corresponding to all the currently executing early warning processes, so as to generate the current highest level data, which specifically includes:
counting abnormal heart beat type data corresponding to each executing early warning process, and generating corresponding second abnormal heart beat type data; according to each piece of second abnormal heart beat type data, inquiring the first corresponding relation table to generate corresponding second grade data; and carrying out statistical processing on the highest abnormal grade information in all the second grade data to generate the current highest grade data.
Preferably, the performing a first exclusive warning process according to the first abnormal heart beat type data specifically includes:
stopping all the executing early warning processes;
according to the first abnormal heart beat type data, inquiring all second corresponding relation records of a second corresponding relation table reflecting the corresponding relation between the abnormal heart beat type and the early warning level; when the second abnormal heart beat type information recorded in the second corresponding relation is the same as the first abnormal heart beat type data, extracting first early warning level information recorded in the second corresponding relation, and generating first early warning level data; the second corresponding relation table comprises a plurality of second corresponding relation records; the second corresponding relation record comprises the second abnormal heart beat type information and the first early warning level information;
according to the first early warning level data, inquiring all third corresponding relation records of a third corresponding relation table reflecting the corresponding relation between the early warning level and the early warning parameter; when the second pre-warning level information recorded in the third corresponding relation is the same as the first pre-warning level data, extracting first voice pre-warning parameter information recorded in the third corresponding relation, and generating first voice pre-warning parameter data; extracting first light early warning parameter information recorded by the third corresponding relation to generate first light early warning parameter data; extracting first early warning duration parameter information recorded by the third corresponding relation to generate first early warning duration parameter data; the third corresponding relation table comprises a plurality of third corresponding relation records; the third corresponding relation record comprises the second early warning level information, the first sound early warning parameter information, the first light early warning parameter information and the first early warning duration parameter information;
according to the first sound early warning parameter data, taking the first early warning duration parameter data as early warning time length, and performing first sound early warning processing; according to the first light early warning parameter data, taking the first early warning duration parameter data as early warning time length, and performing first light early warning processing; and counting early warning information related to the first abnormal heart beat type data, generating first display information, and performing first exclusive display early warning processing on the first display information.
Preferably, the performing parallel early warning processing according to the first abnormal heart beat type data and the preset shielding type data specifically includes:
inquiring the second corresponding relation table according to the first abnormal heart beat type data to generate second early warning level data;
counting abnormal heart beat type data corresponding to each executing early warning process, and generating corresponding third abnormal heart beat type data; inquiring the second corresponding relation table according to each third abnormal heart beat type data to generate corresponding third early warning level data;
carrying out statistical processing on the highest early warning level information in the second early warning level data and all the third early warning level data to generate current highest level data;
inquiring the third corresponding relation table according to the current highest-level data to generate second sound early-warning parameter data, second light early-warning parameter data and second early-warning duration parameter data;
when the shielding type data are of the shielding type, carrying out second sound early warning processing according to the second sound early warning parameter data by taking the second early warning duration parameter data as early warning time length; according to the second light early warning parameter data, taking the second early warning duration parameter data as early warning time length, and performing second light early warning processing; counting early warning information related to the first abnormal heart beat type data, generating second display information, and performing first parallel display early warning processing on the second display information;
when the shielding type data is of a first shielding type, performing third sound early warning processing by taking the second early warning duration parameter data as early warning time length according to the second sound early warning parameter data; counting early warning information related to the first abnormal heart beat type data, generating third display information, and performing second parallel display early warning processing on the third display information;
when the shielding type data is of a second shielding type, performing third light early warning processing by taking the second early warning duration parameter data as early warning time length according to the second light early warning parameter data; counting early warning information related to the first abnormal heart beat type data, generating fourth display information, and performing third parallel display early warning processing on the fourth display information;
and when the shielding type data is of a third shielding type, counting early warning information related to the first abnormal heart beat type data in a preset sound and light shielding duration, generating fifth display information, and carrying out fourth parallel display early warning processing on the fifth display information.
A second aspect of an embodiment of the present invention provides an electronic device, including: memory, processor, and transceiver;
the processor is configured to couple to the memory, and read and execute the instructions in the memory, so as to implement the method steps described in the first aspect;
the transceiver is coupled to the processor and is controlled by the processor to transmit and receive messages.
A third aspect of the 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 described above.
A fourth aspect of the 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.
The embodiment of the invention provides a method, electronic equipment, a computer program product and a computer readable storage medium for early warning abnormal heart beat type data, wherein abnormal grades are allocated to the abnormal heart beat type data, and when the abnormal grades are primary or secondary, exclusive early warning is carried out; when the abnormal level is three-level, four modes are provided to be combined with the early warning processing currently being executed, and parallel early warning is carried out. Therefore, the method not only gives consideration to the forced early warning of the electrocardiograph monitoring equipment on dangerous and critical heart beat types, but also improves the flexibility of the electrocardiograph monitoring equipment for early warning of various abnormal heart beat types, and provides complete early warning information of the abnormal heart beat types for doctors.
Drawings
Fig. 1 is a schematic diagram of a method for early warning abnormal heart beat type data according to a first 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
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
An embodiment of the present invention provides a method for early warning abnormal heart beat type data, as shown in fig. 1, which is a schematic diagram of a method for early warning abnormal heart beat type data, and the method mainly includes the following steps:
and step 1, acquiring first abnormal heart beat type data.
Specifically, the electrocardiograph monitoring device sequentially performs heart beat type identification processing on heart beat signals in the acquired electrocardiograph signals to obtain first abnormal heart beat type data. The electrocardiographic monitoring device is specifically a terminal device or a server capable of realizing the functions of the method according to the embodiment of the invention.
Step 2, according to the first abnormal heart beat type data, inquiring all first corresponding relation records of a first corresponding relation table reflecting the corresponding relation between the abnormal heart beat type and the abnormal grade; when the first abnormal heart beat type information recorded in the first corresponding relation is the same as the first abnormal heart beat type data, extracting first abnormal grade information recorded in the first corresponding relation, and generating first grade data;
the first corresponding relation table comprises a plurality of first corresponding relation records; the first corresponding relation record comprises first abnormal heart beat type information and first abnormal grade information; the first level data is primary, secondary or tertiary; the first level is higher than the second level, which is higher than the third level.
Here, the first correspondence table is stored locally to the electrocardiographic monitoring device, in which an abnormality class classification is performed for each abnormal heart beat type: first, second and third stages, with the first to third stages being successively lower in level.
For example, the obtained first abnormal heart beat type data is the 1 st abnormal type, the first corresponding relation table is shown in the first table, and after the first corresponding relation table is queried, the obtained first class data is the first class.
| First correspondence record index | First abnormal heart beat type information | First abnormality level information |
| 1 | Type 1 exception | First level |
| 2 | Type 2 exception | Second-level |
| 3 | Type 3 exception | Three stages |
| 4 | Type 4 exception | Three stages |
| 5 | Type 5 exception | Three stages |
| 6 | Type 6 exception | Three stages |
List one
Step 3, carrying out statistical processing on the highest abnormal level of the abnormal heart beat type corresponding to all the early warning processes currently being executed to generate current highest level data;
the method specifically comprises the following steps: counting abnormal heart beat type data corresponding to each executing early warning process, and generating corresponding second abnormal heart beat type data; according to each second abnormal heart beat type data, inquiring the first corresponding relation table to generate corresponding second grade data; and carrying out statistical processing on the highest abnormal grade information in all the second grade data to generate the current highest grade data.
Here, each ongoing pre-warning process corresponds to a specific abnormal heart beat type data; counting all abnormal heart beat type data corresponding to the early warning process currently being executed, and obtaining a plurality of second abnormal heart beat type data; by inquiring the first corresponding relation table, a plurality of second grade data can be achieved; among the plurality of second level data, the highest level is the current highest level data.
For example, there are only 1 pre-warning process currently being performed: the 1 st abnormal type early warning processing, the second abnormal heart beat type data only has 1: the 1 st abnormal type, the second level data obtained after inquiring the first corresponding relation table is only 1: one level, so the current highest level data should be one level;
for another example, there are 3 pre-warning processes currently being performed: abnormal type pre-warning processing 3, abnormal type pre-warning processing 5 and abnormal type pre-warning processing 6, and the number of the abnormal heart beat type data is 3: the 3 rd exception type, the 5 th exception type and the 6 th exception type, and the number of second level data obtained after the first corresponding relation table is queried is 3: three levels, three levels and three levels, the maximum level in the 3 second level data is three levels, so the current highest level data should be three levels.
Step 4, performing early warning processing according to the first grade data and/or the current highest grade data;
the method specifically comprises the following steps: step 41, when the first level data is the first level, performing a first exclusive warning process according to the first abnormal heart beat type data;
here, in the embodiment of the present invention, when the first level data is the first level, the electrocardiograph monitoring device regards the corresponding first abnormal heart beat type data as a dangerous heart beat type, and for the dangerous heart beat type, the electrocardiograph monitoring device performs exclusive early warning; the exclusive pre-warning means stopping all other pre-warning processes being executed, executing only the pre-warning process flow corresponding to the current first abnormal heart beat type data, and performing enhanced exclusive display on pre-warning information corresponding to the current first abnormal heart beat type data;
the method specifically comprises the following steps: step 411, stopping all executing pre-warning processes;
for example, there are 3 pre-warning processes currently being performed: 3 rd abnormality type early warning processing, 5 th abnormality type early warning processing, and 6 th abnormality type early warning processing; the corresponding anomaly grades are respectively: three stages, three stages; the first abnormal heart beat type data acquired by the electrocardiograph monitoring equipment is of the 1 st abnormal type, the corresponding abnormal level is of the first level, the electrocardiograph monitoring equipment immediately stops the 3 rd abnormal type early warning processing, the 5 th abnormal type early warning processing and the 6 th abnormal type early warning processing which are being executed, and the 1 st abnormal type early warning processing related to the 1 st abnormal type is executed only by the subsequent steps;
step 412, according to the first abnormal heart beat type data, querying all second corresponding relation records of the second corresponding relation table reflecting the corresponding relation between the abnormal heart beat type and the early warning level; when the second abnormal heart beat type information recorded in the second corresponding relation is the same as the first abnormal heart beat type data, extracting first early warning level information recorded in the second corresponding relation, and generating first early warning level data;
the second corresponding relation table comprises a plurality of second corresponding relation records; the second corresponding relation record comprises second abnormal heart beat type information and first early warning level information;
here, the second correspondence table is stored locally in the electrocardiographic monitoring device, each second correspondence record in the second correspondence table corresponds to an abnormal heart beat type, and an early warning level is allocated to each abnormal heart beat type, the early warning level is related to a subsequent early warning parameter, and the early warning levels are distinguished according to the natural size, for example, the early warning levels comprise 4 levels in total, namely, 1-4 levels, wherein the 1-level early warning level is the lowest, and the 4-level early warning level is the highest;
for example, the first abnormal heart beat type data is of the 1 st abnormal type, the second corresponding relation table is shown in the second table, and after the second corresponding relation table is queried, the obtained first early warning level data is of the 4 level;
watch II
Step 413, according to the first pre-warning level data, querying all third corresponding relation records of a third corresponding relation table reflecting the corresponding relation between the pre-warning level and the pre-warning parameter; when the second pre-warning level information recorded in the third corresponding relation is the same as the first pre-warning level data, extracting first voice pre-warning parameter information recorded in the third corresponding relation, and generating first voice pre-warning parameter data; extracting first light early warning parameter information recorded by the third corresponding relation to generate first light early warning parameter data; extracting first early warning duration parameter information recorded by the third corresponding relation, and generating first early warning duration parameter data;
the third corresponding relation table comprises a plurality of third corresponding relation records; the third corresponding relation record comprises second early warning level information, first sound early warning parameter information, first light early warning parameter information and first early warning duration parameter information;
here, the third correspondence table is stored locally in the electrocardiographic monitoring device, each third correspondence record in the third correspondence table corresponds to one early warning level, and a group of early warning parameters are allocated to each early warning level: the 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, frequency and the like of sounds during early warning, the first light early warning parameter information comprises information such as color, flicker frequency and the like of lamplight during early warning, and the first early warning duration parameter information is time length information for early warning;
for example, the first abnormal heart beat type data is of the 1 st abnormal type, the second lookup table obtains first early warning level data of 4 levels, the third corresponding relation table is shown in a third table, and according to the third lookup table of the first early warning level data, the first sound early warning parameter information is obtained as 4-level sound early warning parameters, the first light early warning parameter data is obtained as 4-level light early warning parameters, and the first early warning duration parameter data is obtained as 4-level early warning duration parameters;
watch III
Step 414, according to the first voice early warning parameter data, the first voice early warning processing is performed by taking the first early warning duration parameter data as the early warning time length; according to the first light early warning parameter data, taking the first early warning duration parameter data as early warning time length, and performing first light early warning processing; counting early warning information related to the first abnormal heart beat type data, generating first display information, and performing first exclusive display early warning processing on the first display information;
for example, the first abnormal heart beat type data is of the 1 st abnormal type, the first sound early warning parameter information is a 4-level sound early warning parameter, the first light early warning parameter data is a 4-level light early warning parameter, and the first early warning duration parameter data is a 4-level early warning duration parameter, then the electrocardiograph monitoring device performs sound early warning according to the 4-level sound early warning parameter and invokes own sound component, and the early warning duration is the same as the 4-level early warning duration parameter; meanwhile, according to the 4-level light early warning parameters, calling own light components to perform light early warning, wherein the early warning duration is the same as the 4-level early warning duration parameters; the monitoring information related to the 1 st abnormal type is also collected, the 1 st abnormal type early warning information is generated, and the 1 st abnormal type early warning information is displayed by calling an own display component, because when the early warning of the first abnormal heart beat type occurs, all other early warning processes are stopped, the first abnormal heart beat type early warning process belongs to dangerous conditions, and the electrocardiograph monitoring equipment can display the 1 st abnormal type early warning information in an enhanced exclusive display mode for enhancing early warning force, for example, the 1 st abnormal type early warning information is continuously displayed in a flashing mode with large fonts and high brightness at the most obvious position of a display interface;
step 42, when the first level data is two-level and the current highest level data is not one-level, performing a second exclusive pre-warning process according to the first abnormal heart beat type data;
here, in the embodiment of the present invention, when the first level data is two levels, the electrocardiograph monitoring device regards the first abnormal heartbeat type data corresponding to the first level data as a critical heartbeat type, and for the critical heartbeat type, when the current highest level is not one level, the electrocardiograph monitoring device performs exclusive early warning on the critical heartbeat type; the exclusive warning here is similar to that of the dangerous heart beat type: stopping all other executing early warning processes, only executing an early warning process flow corresponding to the current first abnormal heart beat type data, and performing enhanced exclusive display on early warning information corresponding to the current first abnormal heart beat type data; however, if the current highest level is one level, it means that the risk level of the early warning process being executed is higher, in the embodiment of the present invention, the electrocardiographic monitoring device will continue the early warning process being executed, and abandon the early warning process corresponding to the current first abnormal heartbeat type data;
for example, there are 3 pre-warning processes currently being performed: 3 rd abnormality type early warning processing, 5 th abnormality type early warning processing, and 6 th abnormality type early warning processing; the corresponding anomaly grades are respectively: three stages, three stages; the first abnormal heart beat type data acquired by the electrocardiograph monitoring equipment is of the 2 nd abnormal type, and the corresponding abnormal level is of the second level, so that the electrocardiograph monitoring equipment can immediately terminate the 3 rd abnormal type early warning processing, the 5 th abnormal type early warning processing and the 6 th abnormal type early warning processing which are being executed, and only execute the 2 nd abnormal type exclusive early warning processing related to the 2 nd abnormal type;
for another example, there are 1 pre-warning processes currently being performed: 1 st abnormal type early warning treatment; the corresponding anomaly level is: a first stage; the first abnormal heart beat type data acquired by the electrocardiograph monitoring equipment is of the 2 nd abnormal type, and the corresponding abnormal level is of the second level, so that the electrocardiograph monitoring equipment does not perform early warning processing on the 2 nd abnormal type, and still keeps executing the 1 st abnormal type early warning processing;
step 43, when the first level data is three-level and the current highest level data is three-level, performing parallel early warning processing according to the first abnormal heart beat type data and the preset shielding type data;
here, the electrocardiographic monitoring device provides four modes by setting mask type data when the highest level among the plurality of abnormal heart beat type data is three levels: the method comprises the steps of carrying out parallel early warning processing on data of a plurality of three-level abnormal heart beat types, wherein the data of the three-level abnormal heart beat types are of an unshielded type, a first shielding type, a second shielding type and a third shielding type; in parallel early warning, in order to ensure that the state of parallel early warning can be reflected from early warning information, the electrocardiograph monitoring equipment adopts a rolling display mode to conduct rolling display on all early warning information;
the method specifically comprises the following steps: step 431, inquiring a second corresponding relation table according to the first abnormal heart beat type data to generate second early warning level data;
for example, the first abnormal heart beat type data is of the 3 rd abnormal type, the second corresponding relation table is shown in the second table, and the second corresponding relation table is queried to obtain second early warning level data of the 2 nd level;
step 432, counting abnormal heart beat type data corresponding to each executing early warning process, and generating corresponding third abnormal heart beat type data; inquiring a second corresponding relation table according to each third abnormal heart beat type data to generate corresponding third early warning level data;
for example, there are 2 pre-warning processes currently being performed: 5 th abnormality type early warning processing, 6 th abnormality type early warning processing; the corresponding third abnormal heart beat type data are respectively: type 5 exception, type 6 exception; the second corresponding relation table is shown in a second table, and the query of the second corresponding relation table to obtain the third early warning level data is respectively as follows: level 1, level 1;
step 433, performing statistical processing on the highest early warning level information in the second early warning level data and all the third early warning level data to generate current highest level data;
for example, the second pre-warning level data is level 2; the number of the third early warning level data is 2: level 1, level 1; the current highest level data should be level 2;
step 434, according to the current highest level data, inquiring a third corresponding relation table, and generating second light early warning parameter data, second light early warning parameter data and second early warning duration parameter data;
for example, the current highest-level data is 2-level, the third corresponding relation table is shown in a third table, the third corresponding relation table is queried, the obtained second sound early-warning parameter information is 2-level sound early-warning parameters, the second light early-warning parameter data is 2-level light early-warning parameters, and the second early-warning duration parameter data is 2-level early-warning duration parameters;
step 435, when the shielding type data is of the non-shielding type, performing a second warning process according to the second warning parameter data and with the second warning duration parameter data as the warning time length; according to the second light early warning parameter data, taking the second early warning duration parameter data as early warning time length, and performing second light early warning processing; counting early warning information related to the first abnormal heart beat type data, generating second display information, and performing first parallel display early warning processing on the second display information;
here, when the shielding type data is of an unshielded type, the current highest-level data early warning parameters are adopted to carry out acousto-optic early warning, and all early warning information is displayed in a rolling bar mode;
for example, the first abnormal heart beat type data is the 3 rd abnormal type, and 2 pre-warning processes are currently being performed: 5 th abnormality type early warning processing, 6 th abnormality type early warning processing; the abnormal levels of the three abnormal heart beat types are three levels, the shielding type data is an unmasked type, and the current highest level data is the level of the 3 rd abnormal type: 2, the electrocardiograph monitoring equipment adopts 2-level sound early-warning parameters and 2-level early-warning duration parameters to carry out 2-level sound early-warning processing, and adopts 2-level light early-warning parameters and 2-level early-warning duration parameters to carry out 2-level light early-warning processing; meanwhile, the pre-warning information of the 3 rd abnormal type, the 5 th abnormal type and the 6 th abnormal type is displayed in a rolling mode;
step 436, when the shielding type data is the first shielding type, performing a third sound early warning process according to the second sound early warning parameter data and with the second early warning duration parameter data as the early warning time length; counting early warning information related to the first abnormal heart beat type data, generating third display information, and performing second parallel display early warning processing on the third display information;
when the shielding type data is the first shielding type, the current highest-level data pre-warning parameters are adopted to perform sound pre-warning, light pre-warning is shielded, and all pre-warning information is displayed in a rolling bar mode;
for example, the first abnormal heart beat type data is the 3 rd abnormal type, and 2 pre-warning processes are currently being performed: 5 th abnormality type early warning processing, 6 th abnormality type early warning processing; the abnormal levels of the three abnormal heart beat types are three levels, the shielding type data is the first shielding type, and the current highest level data is the level of the 3 rd abnormal type: the 2-level electrocardiograph monitoring equipment adopts 2-level sound early warning parameters and 2-level early warning duration parameters to carry out 2-level sound early warning treatment; meanwhile, the pre-warning information of the 3 rd abnormal type, the 5 th abnormal type and the 6 th abnormal type is displayed in a rolling mode;
step 437, when the shielding type data is the second shielding type, performing a third light early warning process according to the second light early warning parameter data and with the second early warning duration parameter data as the early warning time length; counting early warning information related to the first abnormal heart beat type data, generating fourth display information, and carrying out third parallel display early warning processing on the fourth display information;
when the shielding type data is the first shielding type, the current highest-level data early warning parameters are adopted to carry out light early warning, sound early warning is shielded, and all early warning information is displayed in a rolling bar mode;
for example, the first abnormal heart beat type data is the 3 rd abnormal type, and 2 pre-warning processes are currently being performed: 5 th abnormality type early warning processing, 6 th abnormality type early warning processing; the abnormal levels of the three abnormal heart beat types are three levels, the shielding type data is the first shielding type, and the current highest level data is the level of the 3 rd abnormal type: 2, the electrocardiograph monitoring equipment adopts 2-level light early warning parameters and 2-level early warning duration parameters to carry out 2-level light early warning treatment; meanwhile, the pre-warning information of the 3 rd abnormal type, the 5 th abnormal type and the 6 th abnormal type is displayed in a rolling mode;
and 438, counting early warning information related to the first abnormal heart beat type data in a preset sound and light shielding duration when the shielding type data is of the third shielding type, generating fifth display information, and performing fourth parallel display early warning processing on the fifth display information.
Here, the sound-light shielding period is a predetermined time length data.
Here, when the shielding type data is the third shielding type, that is, the acousto-optic early warning is shielded in the acousto-optic shielding duration, only all the early warning information is displayed in a scroll bar mode.
For example, the first abnormal heart beat type data is the 3 rd abnormal type, and 2 pre-warning processes are currently being performed: 5 th abnormality type early warning processing, 6 th abnormality type early warning processing; the abnormal grades of the three abnormal heart beat types are three, the shielding type data are the third shielding type, the sound and light shielding duration is 10 seconds, and the current highest grade data are the grade of the 3 rd abnormal type: and 2, shielding all acousto-optic early warning processing by the electrocardiograph monitoring equipment within 10 seconds after the electrocardiograph monitoring equipment obtains the first abnormal heart beat type data, and only carrying out rolling display on the early warning information of the 3 rd abnormal type, the 5 th abnormal type and the 6 th abnormal type.
In addition, when the shielding type data is of a third shielding type and the preset sound and light shielding time is 0 or the sound and light shielding time is exceeded, the electrocardiograph monitoring device can switch the subsequent early warning processing flow to the appointed flow according to the conversion state information by setting the conversion state information; for example, setting the conversion state information as an unshielded type, and carrying out parallel early warning by adopting an unshielded type early warning processing flow in the subsequent electrocardiographic monitoring equipment; setting the conversion state information as a first shielding type, and carrying out parallel early warning by adopting an early warning processing flow of the first shielding type in the follow-up of the electrocardiograph monitoring equipment; setting the conversion state information as a second shielding type, and carrying out parallel early warning on an early warning processing flow of a person shielding type adopted by the electrocardiograph monitoring equipment subsequently.
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 electrocardiographic monitoring device, or may be a terminal device or a server connected to the electrocardiographic monitoring device for implementing the method of 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 operation of the transceiver 23. The memory 22 may store various instructions 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 the 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 enable communication connections between the elements. The communication port 26 is used for connection communication between the electronic device and other peripheral devices.
The above-mentioned processors may be general-purpose processors including central processing units (Central Processing Unit, CPU), network processors (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
The system bus referred to in fig. 2 may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, or the like. The system bus may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus. The communication interface is used to enable communication between the database access apparatus and other devices (e.g., clients, read-write libraries, and read-only libraries). The Memory may comprise random access Memory (Random Access Memory, RAM) and may also include Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory.
It should be noted that the embodiments of the present invention also provide a computer readable storage medium having instructions stored therein, which when executed on a computer, cause the computer to perform the methods and processes provided in the above embodiments.
The embodiment of the invention also provides a chip for running the instructions, which is used for executing the method and the processing procedure provided in the embodiment.
The embodiment of the present invention also provides a program product, which includes a computer program stored in a storage medium, from which at least one processor can read the computer program, and the at least one processor performs the method and the process provided in the embodiment.
The embodiment of the invention provides a method, electronic equipment, a computer program product and a computer readable storage medium for early warning abnormal heart beat type data, wherein abnormal grades are allocated to the abnormal heart beat type data, and when the abnormal grades are primary (dangerous) or secondary (critical), the exclusive early warning is carried out; when the abnormal level is three-level, four modes are provided to be combined with the early warning processing currently being executed, and parallel early warning is carried out. Therefore, the method not only gives consideration to the forced early warning of the electrocardiograph monitoring equipment on dangerous and critical heart beat types, but also improves the flexibility of the electrocardiograph monitoring equipment for early warning of various abnormal heart beat types, and provides complete early warning information of the abnormal heart beat types for doctors.
Those of skill would further appreciate that the various illustrative elements 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 elements and steps are described above generally in terms of function in order to clearly illustrate the 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 solution. 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, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed 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 foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (3)
1. A method of pre-warning abnormal heart beat type data, the method comprising:
acquiring first abnormal heart beat type data;
according to the first abnormal heart beat type data, inquiring all first corresponding relation records of a first corresponding relation table reflecting the corresponding relation between the abnormal heart beat type and the abnormal grade; when the first abnormal heart beat type information recorded in the first corresponding relation is the same as the first abnormal heart beat type data, extracting first abnormal grade information recorded in the first corresponding relation to generate first grade data; the first corresponding relation table comprises a plurality of first corresponding relation records; the first correspondence record includes the first abnormal heart beat type information and the first abnormal level information; the first level data is primary, secondary or tertiary; the grade of the first stage is higher than that of the second stage, and the grade of the second stage is higher than that of the third stage;
carrying out statistical processing on the highest abnormal level of the abnormal heart beat type corresponding to all the early warning processes currently being executed to generate current highest level data;
performing early warning processing according to the first grade data and/or the current highest grade data; when the first level data is the first level, performing first exclusive warning processing according to the first abnormal heart beat type data; when the first level data is the second level and the current highest level data is not the first level, performing second exclusive early warning processing according to the first abnormal heart beat type data; when the first level data is the three levels and the current highest level data is the three levels, performing parallel early warning processing according to the first abnormal heart beat type data and preset shielding type data;
the statistics processing is performed on the highest abnormal level of the abnormal heart beat type corresponding to all the early warning processes currently being executed, so as to generate current highest level data, which specifically includes:
counting abnormal heart beat type data corresponding to each executing early warning process, and generating corresponding second abnormal heart beat type data; according to each piece of second abnormal heart beat type data, inquiring the first corresponding relation table to generate corresponding second grade data; carrying out highest abnormal grade information statistical processing in all the second grade data to generate the current highest grade data;
and performing a first exclusive pre-warning process according to the first abnormal heart beat type data, wherein the first exclusive pre-warning process specifically comprises:
stopping all the executing early warning processes;
according to the first abnormal heart beat type data, inquiring all second corresponding relation records of a second corresponding relation table reflecting the corresponding relation between the abnormal heart beat type and the early warning level; when the second abnormal heart beat type information recorded in the second corresponding relation is the same as the first abnormal heart beat type data, extracting first early warning level information recorded in the second corresponding relation, and generating first early warning level data; the second corresponding relation table comprises a plurality of second corresponding relation records; the second corresponding relation record comprises the second abnormal heart beat type information and the first early warning level information;
according to the first early warning level data, inquiring all third corresponding relation records of a third corresponding relation table reflecting the corresponding relation between the early warning level and the early warning parameter; when the second pre-warning level information recorded in the third corresponding relation is the same as the first pre-warning level data, extracting first voice pre-warning parameter information recorded in the third corresponding relation, and generating first voice pre-warning parameter data; extracting first light early warning parameter information recorded by the third corresponding relation to generate first light early warning parameter data; extracting first early warning duration parameter information recorded by the third corresponding relation to generate first early warning duration parameter data; the third corresponding relation table comprises a plurality of third corresponding relation records; the third corresponding relation record comprises the second early warning level information, the first sound early warning parameter information, the first light early warning parameter information and the first early warning duration parameter information;
according to the first sound early warning parameter data, taking the first early warning duration parameter data as early warning time length, and performing first sound early warning processing; according to the first light early warning parameter data, taking the first early warning duration parameter data as early warning time length, and performing first light early warning processing; counting early warning information related to the first abnormal heart beat type data, generating first display information, and performing first exclusive display early warning processing on the first display information;
the parallel early warning processing is performed according to the first abnormal heart beat type data and the preset shielding type data, and specifically includes:
inquiring the second corresponding relation table according to the first abnormal heart beat type data to generate second early warning level data;
counting abnormal heart beat type data corresponding to each executing early warning process, and generating corresponding third abnormal heart beat type data; inquiring the second corresponding relation table according to each third abnormal heart beat type data to generate corresponding third early warning level data;
carrying out statistical processing on the highest early warning level information in the second early warning level data and all the third early warning level data to generate current highest level data;
inquiring the third corresponding relation table according to the current highest-level data to generate second sound early-warning parameter data, second light early-warning parameter data and second early-warning duration parameter data;
when the shielding type data are of the shielding type, carrying out second sound early warning processing according to the second sound early warning parameter data by taking the second early warning duration parameter data as early warning time length; according to the second light early warning parameter data, taking the second early warning duration parameter data as early warning time length, and performing second light early warning processing; counting early warning information related to the first abnormal heart beat type data, generating second display information, and performing first parallel display early warning processing on the second display information;
when the shielding type data is of a first shielding type, performing third sound early warning processing by taking the second early warning duration parameter data as early warning time length according to the second sound early warning parameter data; counting early warning information related to the first abnormal heart beat type data, generating third display information, and performing second parallel display early warning processing on the third display information;
when the shielding type data is of a second shielding type, performing third light early warning processing by taking the second early warning duration parameter data as early warning time length according to the second light early warning parameter data; counting early warning information related to the first abnormal heart beat type data, generating fourth display information, and performing third parallel display early warning processing on the fourth display information;
and when the shielding type data is of a third shielding type, counting early warning information related to the first abnormal heart beat type data in a preset sound and light shielding duration, generating fifth display information, and carrying out fourth parallel display early warning processing on the fifth display information.
2. An electronic device, comprising: memory, processor, and transceiver;
the processor is configured to couple to the memory, read and execute instructions in the memory to implement the method of claim 1;
the transceiver is coupled to the processor and is controlled by the processor to transmit and receive messages.
3. A computer readable storage medium storing computer instructions which, when executed by a computer, cause the computer to perform the method of claim 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011348712.4A CN114550411B (en) | 2020-11-26 | 2020-11-26 | Method for early warning of abnormal heart beat type data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011348712.4A CN114550411B (en) | 2020-11-26 | 2020-11-26 | Method for early warning of abnormal heart beat type data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114550411A CN114550411A (en) | 2022-05-27 |
| CN114550411B true CN114550411B (en) | 2023-09-29 |
Family
ID=81667888
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011348712.4A Active CN114550411B (en) | 2020-11-26 | 2020-11-26 | Method for early warning of abnormal heart beat type data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114550411B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1119056A (en) * | 1997-06-27 | 1999-01-26 | Arata Nemoto | Method and device for measurement of heart rate |
| WO2019161607A1 (en) * | 2018-02-24 | 2019-08-29 | 乐普（北京）医疗器械股份有限公司 | Electrocardiogram information dynamic monitoring method and dynamic monitoring system |
| CN110664397A (en) * | 2019-10-09 | 2020-01-10 | 郑州大学 | Real-time analysis, diagnosis and early warning cloud system for electrocardiogram data |
| CN111134656A (en) * | 2018-11-05 | 2020-05-12 | 深圳市理邦精密仪器股份有限公司 | Method and device for detecting electrocardiogram data and computer readable storage medium |
-
2020
- 2020-11-26 CN CN202011348712.4A patent/CN114550411B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1119056A (en) * | 1997-06-27 | 1999-01-26 | Arata Nemoto | Method and device for measurement of heart rate |
| WO2019161607A1 (en) * | 2018-02-24 | 2019-08-29 | 乐普（北京）医疗器械股份有限公司 | Electrocardiogram information dynamic monitoring method and dynamic monitoring system |
| CN111134656A (en) * | 2018-11-05 | 2020-05-12 | 深圳市理邦精密仪器股份有限公司 | Method and device for detecting electrocardiogram data and computer readable storage medium |
| CN110664397A (en) * | 2019-10-09 | 2020-01-10 | 郑州大学 | Real-time analysis, diagnosis and early warning cloud system for electrocardiogram data |
Non-Patent Citations (1)
| Title |
|---|
| 扩张型心肌病患者窦性心率震荡的研究;汤立军;李瑞庆;严家常;邹;;临床心电学杂志(01);15-16 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114550411A (en) | 2022-05-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110221145B (en) | Power equipment fault diagnosis method and device and terminal equipment | |
| NL2025562B1 (en) | Method for automatic noise reduction of dynamic ecg signal | |
| CN111839495B (en) | Detection method, device and storage medium | |
| CN114550411B (en) | Method for early warning of abnormal heart beat type data | |
| CN113656255A (en) | Operation abnormity judgment method based on chip operation data | |
| CN110782905A (en) | Positioning method, device and system | |
| CN107680344B (en) | Method for acquiring alarm level of equipment and computing equipment | |
| CN112686205B (en) | Parameter updating method and device and multi-terminal network architecture | |
| CN110751045A (en) | Fault recording method, system and terminal equipment | |
| CN114533080B (en) | Method and device for identifying vibration wave of electrocardiosignal data | |
| CN113658678B (en) | Monitoring data early warning method | |
| CN114403825B (en) | Pulse wave signal identification method and device | |
| CN116610521A (en) | Processing method for monitoring database | |
| CN112237433B (en) | Electroencephalogram signal abnormity monitoring system and method | |
| CN113487010B (en) | Power grid network security event analysis method based on machine learning | |
| CN113229826B (en) | QRS wave detection method and device and electronic equipment | |
| CN111449647B (en) | Electrocardiogram identification method and device, storage medium and electronic equipment | |
| CN113705625A (en) | Method and device for identifying abnormal life guarantee application families and electronic equipment | |
| CN113313675A (en) | Artificial intelligent blood cell classification and disease auxiliary diagnosis method and system | |
| CN114533014A (en) | Method for early warning according to heart rate ranges of different heart rhythm types | |
| CN114533013B (en) | Method for processing continuously acquired heart beat data | |
| CN114533082B (en) | Method for marking QRS wave type based on inter-heart-beat period data | |
| CN114403826B (en) | Blood pressure measurement method and device | |
| WO2021227472A1 (en) | Alarm switching method | |
| CN110703058A (en) | Partial discharge detection method and device based on ultrasonic recognition and terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |