CN113658678B - Monitoring data early warning method - Google Patents
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- CN113658678B CN113658678B CN202010400951.3A CN202010400951A CN113658678B CN 113658678 B CN113658678 B CN 113658678B CN 202010400951 A CN202010400951 A CN 202010400951A CN 113658678 B CN113658678 B CN 113658678B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 106
- 238000000034 method Methods 0.000 title claims abstract description 78
- 238000012545 processing Methods 0.000 claims abstract description 179
- 238000012552 review Methods 0.000 claims description 37
- 230000008569 process Effects 0.000 description 39
- 238000012806 monitoring device Methods 0.000 description 27
- 208000001871 Tachycardia Diseases 0.000 description 24
- 230000006794 tachycardia Effects 0.000 description 24
- 206010020772 Hypertension Diseases 0.000 description 21
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 18
- 239000008280 blood Substances 0.000 description 18
- 210000004369 blood Anatomy 0.000 description 18
- 229910052760 oxygen Inorganic materials 0.000 description 18
- 239000001301 oxygen Substances 0.000 description 18
- 230000002631 hypothermal effect Effects 0.000 description 13
- 206010003658 Atrial Fibrillation Diseases 0.000 description 12
- 208000023504 respiratory system disease Diseases 0.000 description 11
- 238000004891 communication Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 239000000284 extract Substances 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000036760 body temperature Effects 0.000 description 3
- 230000002093 peripheral effect Effects 0.000 description 3
- 230000036772 blood pressure Effects 0.000 description 2
- 206010021143 Hypoxia Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001766 physiological effect Effects 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The embodiment of the invention relates to a monitoring data early warning method, which comprises the following steps: carrying out event identification on the acquired monitored data to generate monitored event data; obtaining corresponding monitoring event type data; when the monitored event type data is of an emergency type, carrying out local early warning according to the monitored event data; when the monitored event type data is of a first rechecking type, carrying out monitored event rechecking on the monitored event data according to the monitored event data to obtain first rechecked monitored event data and carrying out local early warning; and when the monitored event type data is of the second rechecking type, carrying out local early warning according to the monitored event data, rechecking the monitored event according to the monitored event data to generate second rechecked monitored event data, and switching the local early warning. The invention reforms the original monitoring data early warning flow of the monitoring equipment, ensures early warning real-time performance by using monitoring event early warning, increases monitoring event rechecking processing and improves early warning precision.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a monitoring data early warning method.
Background
The monitoring device is used for continuously collecting the monitored data of the patient and carrying out the characteristic identification of the monitored data, when the monitored data is identified to be abnormal, corresponding monitored events are automatically generated, and corresponding early warning processing is carried out by inquiring a monitored event list. The monitoring data feature recognition process only recognizes one feature recognition under the conventional condition of the monitoring equipment, so that the early warning precision is limited; the monitoring data feature recognition process is upgraded from feature recognition to subdivision feature recognition, and early warning is delayed due to overlong processing time.
Disclosure of Invention
The invention aims at overcoming the defects of the prior art, and provides a monitoring data early warning method, electronic equipment and a readable storage medium, which are used for modifying the original monitoring data early warning flow of monitoring equipment, ensuring early warning instantaneity by using a monitoring event early warning, increasing the checking processing of the monitoring event and the post early warning processing process corresponding to the checking monitoring event and improving the early warning precision.
In order to achieve the above object, a first aspect of the present invention provides a method for early warning monitored data, the method comprising:
acquiring monitoring data;
carrying out event identification processing on the monitored data to generate monitored event data;
respectively inquiring an emergency type set, a first rechecking type set and a second rechecking type set in an event type set, and taking the emergency type as monitored event type data when the monitored event data is included in the emergency type set; when the monitored event data is included in the first review type set, a first review type is used as the monitored event type data; when the monitored event data is included in the second review type set, a second review type is used as the monitored event type data; the event type set comprises the emergency type set, the first review type set and the second review type set; the emergency type set, the first review type set and the second review type set respectively comprise a plurality of the monitored event data;
when the monitored event type data is the emergency type, inquiring a monitored event list according to the monitored event data, and performing local early warning processing;
when the monitored event type data is of the first rechecking type, carrying out monitored event rechecking processing on the monitored event data according to the monitored event data to generate first rechecked monitored event data, and inquiring the monitored event list according to the first rechecked monitored event data to carry out local early warning processing;
and when the monitored event type data is the second recheck type, inquiring the monitored event list according to the monitored event data to perform local early warning processing, performing monitored event recheck processing on the monitored data according to the monitored event data to generate second recheck monitored event data, and performing local early warning switching processing according to the second recheck monitored event data.
Preferably, the method comprises the steps of,
the monitored event list comprises a plurality of monitored event records; the monitored event record comprises a monitored event identifier and a local early warning processing identifier.
Preferably, when the monitored event type data is the emergency type, inquiring a monitored event list according to the monitored event data, and performing local early warning processing, including:
when the monitored event type data is the emergency type, all the monitored event records in the monitored event list are polled according to the monitored event data, and when the monitored event identification of the monitored event record is equal to the monitored event data, the local early warning processing identification of the monitored event record is extracted to generate first local early warning processing identification data; and carrying out first local early warning processing corresponding to the first local early warning processing identification data according to the first local early warning processing identification data.
Preferably, when the monitored event type data is the first recheck type, performing monitored event recheck processing on the monitored event data according to the monitored event data to generate first recheck monitored event data, and querying the monitored event list according to the first recheck monitored event data to perform local early warning processing, including:
when the monitored event type data is the first rechecking type, selecting a monitored event rechecking processing flow according to the monitored event data, and performing monitored event rechecking processing on the monitored event data to generate the first rechecked monitored event data;
polling all the monitored event records in the monitored event list according to the first rechecked monitored event data, and when the monitored event identification of the monitored event record is equal to the first rechecked monitored event data, extracting the local early warning processing identification of the monitored event record to generate second local early warning processing identification data; and carrying out second local early warning processing corresponding to the second local early warning processing identification data according to the second local early warning processing identification data.
Preferably, when the monitored event type data is the second check type, the local early warning processing is performed by querying the monitored event list according to the monitored event data, the monitored event check processing is performed on the monitored event data according to the monitored event data to generate second check monitored event data, and the local early warning switching processing is performed according to the second check monitored event data, which specifically includes:
when the monitored event type data is the second rechecking type, all the monitored event records in the monitored event list are polled according to the monitored event data, and when the monitored event identification of the monitored event record is equal to the monitored event data, the local early warning processing identification of the monitored event record is extracted to generate third local early warning processing identification data; performing third local early warning processing corresponding to the third local early warning processing identification data according to the third local early warning processing identification data;
selecting a monitored event rechecking processing flow according to the monitored event data, and performing monitored event rechecking processing on the monitored event data to generate second rechecked monitored event data;
polling all the monitored event records in the monitored event list according to the second rechecked monitored event data, and when the monitored event identification of the monitored event record is equal to the second rechecked monitored event data, extracting the local early warning processing identification of the monitored event record to generate fourth local early warning processing identification data; and switching the ongoing local early warning from the third local early warning processing to fourth local early warning processing corresponding to the fourth local early warning processing identification data.
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 monitoring data early warning method, the electronic device and the readable storage medium provided by the embodiment of the invention reform the original monitoring data early warning flow of the monitoring device. Early warning is carried out by using a monitoring event, so that the early warning instantaneity is ensured; and the review processing of the monitored event and the post-early warning processing process corresponding to the review monitored event are increased, so that the early warning precision is improved.
Drawings
Fig. 1 is a schematic diagram of a method for early warning of monitored 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.
According to the monitoring data early warning method, event identification processing is carried out on monitoring data to obtain monitoring event data, and type identification processing is carried out on the monitoring event data to obtain monitoring event type data; when the monitored event type data is of an emergency type, the method is consistent with the conventional early warning processing flow of the monitoring equipment, and the local early warning is directly carried out according to the monitored event data, so that the early warning instantaneity is ensured; when the monitored event type data is of a first rechecking type, carrying out monitored event rechecking processing on the monitored event data to obtain first rechecked monitored event data, and then executing local early warning according to the first rechecked monitored event data, so that early warning precision is improved; when the monitored event type data is of the second rechecking type, local early warning is firstly carried out according to the monitored event data, then the monitored event rechecking processing is carried out on the monitored event data to obtain second rechecked monitored event data, and the executing local early warning is replaced by an early warning mode corresponding to the second rechecked monitored event data, so that the early warning instantaneity is guaranteed, and the early warning precision is improved.
As shown in fig. 1, which is a schematic diagram of a method for early warning of monitored data according to a first embodiment of the present invention, the method mainly includes the following steps:
and step 1, acquiring monitoring data.
Specifically, the monitoring device may acquire the monitored data by directly acquiring the monitored data, or may acquire the monitored data by connecting with other acquisition devices.
The monitoring device is specifically a terminal device or a server capable of realizing the monitoring device function in the embodiment of the invention; the monitored data are physiological activity parameters acquired from the patient, such as electrocardiogram data, respiration data, blood pressure data, body temperature data, blood oxygen saturation data, and the like.
And step 2, carrying out event identification processing on the monitored data to generate monitored event data.
Specifically, the monitoring device performs feature recognition processing on the monitored data to obtain feature data segments, and then allocates corresponding monitored event data to each feature data segment.
The monitoring device can perform corresponding feature recognition processing on various monitoring data, and extract corresponding feature data from the monitoring data to obtain feature data segments when performing the feature recognition processing, wherein the monitoring event data is a unique identifier allocated to each feature data segment.
For example, the monitoring device may identify a tachycardia characteristic data segment from electrocardiogram data, a respiratory disorder characteristic data segment from respiratory data, a hypertension characteristic data segment from blood pressure data, a hypothermia characteristic data segment from body temperature data, a hypothermia saturation characteristic data segment from blood oxygen saturation data, etc., and the monitoring device may assign tachycardia monitoring event data to the tachycardia characteristic data segment, respiratory disorder monitoring event data to the respiratory disorder characteristic data segment, hypertension monitoring event data segment to the hypertension characteristic, hypothermia monitoring event data to the hypothermia characteristic data segment, hypothermia saturation monitoring event data to the hypothermia characteristic data segment, etc.
Step 3, respectively inquiring an emergency type set, a first rechecking type set and a second rechecking type set in the event type set, and taking the emergency type as monitored event type data when the monitored event data is included in the emergency type set; when the monitored event data is included in the first rechecking type set, the first rechecking type is used as monitored event type data; when the monitored event data is included in the second rechecking type set, the second rechecking type is used as the monitored event type data;
the event type set comprises an emergency type set, a first review type set and a second review type set; the emergency type set, the first review type set and the second review type set respectively comprise a plurality of monitoring event data;
here, the event type set is used to categorize all monitored event data: an emergency type set, a first review type set, and a second review type set; under the emergency type set, monitoring event data without rechecking is placed, and local early warning can be immediately started for the monitoring event data under the emergency type set so as to ensure early warning instantaneity of monitoring equipment; under the first rechecking type set, the monitored event data needing to be rechecked is placed, and early warning is executed after rechecking is carried out on the monitored event data under the first rechecking type set, so that the early warning precision of the monitored equipment is improved; under the second review type set, the monitored event data supporting early warning switching is placed, and for the monitored event data under the second review type set, the local early warning is started first, and then the local early warning is switched according to the monitored event review result, so that the early warning instantaneity of the monitored equipment is guaranteed, and the early warning precision is improved.
For example, the monitored event data is respiratory disorder monitored event data, or low body temperature monitored event data, or high blood pressure monitored event data, or low blood oxygen saturation monitored event data, or tachycardia monitored event data, and the event type set is specifically shown in table one:
| type set | Guardian event data included under a type |
| Emergency type collection | Respiratory disorder monitoring event data, hypothermia monitoring event data |
| First review type set | Hypertension monitoring event data and hypooximetry monitoring event data |
| Second review type set | Tachycardia monitoring event data |
List one
The monitored event type data should be of an emergency type when the monitored event data is respiratory disorder monitored event data or hypothermia monitored event data; when the monitored event data is high blood pressure monitored event data or low blood oxygen saturation monitored event data, the monitored event type data is a first rechecking type; when the monitored event data is tachycardia monitored event data, the monitored event type data should be of a second review type.
After the monitored event type data are obtained, the embodiment of the invention carries out corresponding early warning processing according to the monitored event type data:
when the monitored event type data is of an emergency type, executing the early warning processing of the step 4;
when the monitored event type data is of a first rechecking type, executing the early warning processing of the step 5;
and when the monitored event type data is the second rechecking type, executing the early warning processing in the step 6.
Step 4, inquiring a monitored event list according to the monitored event data, and performing local early warning processing;
the monitoring event list comprises a plurality of monitoring event records; the monitored event record includes a monitored event identification and a local pre-warning processing identification.
The method specifically comprises the following steps: step 41, polling all the monitored event records in the monitored event list according to the monitored event data, and when the monitored event identification of the monitored event record is equal to the monitored event data, extracting the local early warning processing identification of the monitored event record to generate first local early warning processing identification data;
the monitored event list is specifically an event vector table, the monitored event record of the monitored event list is specifically an event vector, the monitored event identifier of the monitored event record corresponds to specific monitored event data, and the local early warning processing identifier of the monitored event record corresponds to a specific early warning processing process; the monitoring equipment obtains a monitoring event record corresponding to the monitoring event data by searching a monitoring event list, and extracts a corresponding local early warning processing identifier from the corresponding monitoring event record to serve as first local early warning processing identifier data, wherein the first local early warning processing identifier data corresponds to a first local early warning processing process;
for example, the monitored event data is respiratory disorder monitored event data or hypothermia monitored event data, and the monitored event list is specifically shown in table two:
watch II
When the monitored event data is respiratory disorder monitored event data, the first local early warning processing identification data is respiratory disorder early warning processing identification data; when the monitored event data is hypothermia monitored event data, the first local early warning processing identification data is hypothermia early warning processing identification data;
and step 42, performing first local early warning processing corresponding to the first local early warning processing identification data according to the first local early warning processing identification data.
For example, as shown in table two, when the monitored event data is respiratory disorder monitored event data, the first local early warning processing process is that the monitoring device sets the color of the signal lamp to red, the flicker frequency to fastest, the volume of the buzzer to maximum, the frequency to fastest, the information prompt color to red and displays respiratory disorder early warning information; when the monitored event data is hypothermia monitored event data, the monitoring device sets the color of the signal lamp to be red, the flicker frequency to be fastest, the volume of the buzzer to be maximum, the frequency to be fastest, the information prompt color to be red and the hypothermia early warning information to be displayed in the first local early warning processing process.
In conclusion, the step 4 is consistent with the conventional monitoring equipment early warning processing flow, and local early warning is directly carried out according to the monitoring event data, so that early warning instantaneity is guaranteed.
Step 5, monitoring event rechecking processing is carried out on the monitoring data according to the monitoring event data to generate first rechecked monitoring event data, and a monitoring event list is inquired according to the first rechecked monitoring event data to carry out local early warning processing;
the method specifically comprises the following steps: step 51, selecting a monitored event rechecking processing flow according to the monitored event data, and performing monitored event rechecking processing on the monitored event data to generate first rechecked monitored event data;
here, the monitoring device may perform step 51 using a local process flow, and may also perform step 51 by connecting to other devices (e.g., servers);
for example, the monitored event data is high blood pressure monitored event data or low blood oxygen saturation monitored event data, the monitoring device uses a local processing flow to execute step 51, the local monitoring device includes a high blood pressure classified monitored event rechecking processing flow and a low blood oxygen saturation classified monitored event rechecking processing flow, when the monitored event data is high blood pressure monitored event data, the monitoring device performs high blood pressure classified monitored event rechecking processing on the monitored data, and the obtained first rechecked monitored event data is specifically three-level high blood pressure monitored event data (the higher the level is, the more dangerous); when the monitored event data is low blood oxygen saturation monitored event data, the monitored equipment carries out low blood oxygen saturation grading monitored event rechecking processing on the monitored data, and the obtained first rechecked monitored event data is specifically three-level low blood oxygen saturation monitored event data (the higher the level is, the more dangerous);
for another example, the monitored event data is high blood pressure monitored event data or low blood oxygen saturation monitored event data, the monitoring device executes step 51 by connecting with the server, the server locally includes a high blood pressure classified monitored event rechecking process flow and a low blood oxygen saturation classified monitored event rechecking process flow, when the monitored event data is high blood pressure monitored event data, the server performs high blood pressure classified monitored event rechecking processing on the monitored event data, and the obtained first rechecked monitored event data is specifically three-level high blood pressure monitored event data (the higher the level is, the more dangerous); when the monitored event data is low blood oxygen saturation monitored event data, the server carries out low blood oxygen saturation grading monitored event rechecking processing on the monitored data, and the obtained first rechecked monitored event data is specifically three-level low blood oxygen saturation monitored event data (the higher the level is, the more dangerous);
step 52, polling all the monitored event records in the monitored event list according to the first rechecked monitored event data, and when the monitored event identification of the monitored event record is equal to the first rechecked monitored event data, extracting the local early warning processing identification of the monitored event record to generate second local early warning processing identification data;
the monitoring equipment obtains a monitoring event record corresponding to the monitoring event data by searching the monitoring event list, and extracts a corresponding local early warning processing identifier from the corresponding monitoring event record to serve as second local early warning processing identifier data, wherein the second local early warning processing identifier data corresponds to a second local early warning processing process;
for example, the monitored event data is hypertension monitored event data or hypoxia-saturation monitored event data, and the monitored event list is shown in table three:
watch III
When the first recheck monitoring event data is the three-level hypertension monitoring event data, the second local early warning processing identification data is the three-level hypertension early warning processing identification data; when the monitored event data is three-level low blood oxygen saturation monitored event data, the second local early warning processing identification data is three-level low blood oxygen saturation early warning processing identification data;
and step 53, performing a second local early warning process corresponding to the second local early warning process identification data according to the second local early warning process identification data.
For example, as shown in table three, when the first review monitoring event data is three-level hypertension monitoring event data, the second local early warning processing process is that the monitoring device sets the color of the signal lamp to yellow, turns off the light to flash, sets the volume of the buzzer to medium and the frequency to normal, sets the information prompt color to yellow, and displays three-level hypertension early warning information; when the first recheck monitoring event data are particularly three-level low blood oxygen saturation monitoring event data, the second local early warning processing process is that the monitoring equipment sets the color of a signal lamp to yellow, turns off the light to flash, sets the volume of a buzzer to medium and the frequency to be normal, sets the information prompt color to yellow and displays three-level low blood oxygen saturation early warning information.
In summary, step 5, the monitored data is subjected to the monitored event rechecking process to obtain first rechecked monitored event data, and then the local early warning is executed according to the first rechecked monitored event data, so that the early warning precision is improved.
Step 6, inquiring a monitored event list according to the monitored event data to perform local early warning processing, performing monitored event rechecking processing on the monitored event data according to the monitored event data to generate second rechecked monitored event data, and performing local early warning switching processing according to the second rechecked monitored event;
the method specifically comprises the following steps: step 61, polling all the monitored event records in the monitored event list according to the monitored event data, and when the monitored event identification of the monitored event record is equal to the monitored event data, extracting the local early warning processing identification of the monitored event record to generate third local early warning processing identification data; according to the third local early warning processing identification data, performing third local early warning processing corresponding to the third local early warning processing identification data;
when the monitored event type data is the second rechecking type, firstly, executing local early warning processing according to the monitored event data;
for example, the monitored event data is tachycardia monitored event data, and the monitored event list is specifically shown in table four:
table four
The monitoring device queries a fourth table to obtain that the third local early warning processing identification data is tachycardia early warning processing identification data, and the third local early warning processing process is as follows: the color of the signal lamp is orange, the flicker frequency is set to be the next highest, the volume of the buzzer is increased to be medium, the frequency is set to be the next highest, the information prompt color is set to be orange, and the tachycardia warning information is displayed;
step 62, selecting a monitored event rechecking processing flow according to the monitored event data, and performing monitored event rechecking processing on the monitored event data to generate second rechecked monitored event data;
here, the monitoring device may perform step 62 using a local process flow, and may also perform step 62 by connecting to other devices (e.g., servers);
for example, the monitoring event data is tachycardia monitoring event data, the monitoring device uses a local processing procedure to execute step 62, and the monitoring device locally includes a tachycardia monitoring event review processing procedure, when the monitoring event data is tachycardia monitoring event data, the monitoring device performs the tachycardia monitoring event review processing procedure on the monitoring data, and the obtained second review monitoring event data is specifically atrial fibrillation monitoring event data (atrial fibrillation is one of the causes of tachycardia);
for another example, the monitoring event data is tachycardia monitoring event data, the monitoring device executes step 62 by connecting with the server, and the server locally includes a tachycardia monitoring event rechecking process flow, when the monitoring event data is tachycardia monitoring event data, the server performs the tachycardia monitoring event rechecking process flow on the monitoring data, and the obtained second rechecking monitoring event data is specifically atrial fibrillation monitoring event data (atrial fibrillation is one of the causes of tachycardia);
step 63, polling all the monitored event records in the monitored event list according to the second rechecked monitored event data, and when the monitored event identification of the monitored event record is equal to the second rechecked monitored event data, extracting the local early warning processing identification of the monitored event record to generate fourth local early warning processing identification data:
the monitoring equipment obtains a monitoring event record corresponding to the monitoring event data by searching the monitoring event list, and extracts a corresponding local early warning processing identifier from the corresponding monitoring event record to serve as fourth local early warning processing identifier data, wherein the fourth local early warning processing identifier data corresponds to a fourth local early warning processing process;
for example, the monitored event data is tachycardia monitored event data, the second recheck monitored event data is atrial fibrillation monitored event data, the monitored event list is shown in table four, the fourth local early warning processing identification data is atrial fibrillation early warning processing identification data, and the fourth local early warning processing process is atrial fibrillation early warning processing process;
and step 64, switching the ongoing local early warning from the third local early warning processing to fourth local early warning processing corresponding to the fourth local early warning processing identification data.
Here, if the third local early-warning process (tachycardia early-warning process) started in advance in step 61 has ended, four local early-warning processes (atrial fibrillation early-warning process) are directly performed; if the third local pre-warning process (tachycardia pre-warning process) started in step 61 has not been completed, the switch from the third local pre-warning process to the fourth local pre-warning process is implemented by stopping the third local pre-warning process (tachycardia pre-warning process) and then executing the fourth local pre-warning process (atrial fibrillation pre-warning process).
For example, the tachycardia monitoring event data, the second review monitoring event data is atrial fibrillation monitoring event data, the fourth local early warning processing identification data is atrial fibrillation early warning processing identification data, and the fourth local early warning processing is that the monitoring device sets the color of the signal lamp to red, the flashing frequency to fastest, the volume of the buzzer to maximum, the frequency to fastest, the information prompt color to red and displays atrial fibrillation early warning information.
In summary, step 6, local early warning is performed according to the monitored event data, and then the monitored event rechecking processing is performed on the monitored event data to obtain second rechecked monitored event data, and the executed local early warning is replaced by the early warning mode corresponding to the second rechecked monitored event data, so that the real-time early warning performance is ensured, and the early warning precision is improved.
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 foregoing monitoring device, or may be a device or a server connected to the foregoing monitoring device and having the function of the method provided by the embodiment of the present invention. As shown in fig. 2, the electronic device 200 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 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.
The processor may be a general-purpose processor, including a Central Processing Unit (CPU), a network processor (Network Processor, NP), etc.; but may also be a digital signal processor DSP, an application specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component.
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 monitoring data early warning method, the electronic device and the readable storage medium provided by the embodiment of the invention reform the original monitoring data early warning flow of the monitoring device. Early warning is carried out by using a monitoring event, so that the early warning instantaneity is ensured; and the review processing of the monitored event and the post-early warning processing process corresponding to the review monitored event are increased, so that the early warning precision is improved.
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 (4)
1. A method for monitoring data and pre-warning, the method comprising:
acquiring monitoring data;
carrying out event identification processing on the monitored data to generate monitored event data;
respectively inquiring an emergency type set, a first rechecking type set and a second rechecking type set in an event type set, and taking the emergency type as monitored event type data when the monitored event data is included in the emergency type set; when the monitored event data is included in the first review type set, a first review type is used as the monitored event type data; when the monitored event data is included in the second review type set, a second review type is used as the monitored event type data; the event type set comprises the emergency type set, the first review type set and the second review type set; the emergency type set, the first review type set and the second review type set respectively comprise a plurality of the monitored event data;
when the monitored event type data is the emergency type, inquiring a monitored event list according to the monitored event data, and performing local early warning processing;
when the monitored event type data is of the first rechecking type, carrying out monitored event rechecking processing on the monitored event data according to the monitored event data to generate first rechecked monitored event data, and inquiring the monitored event list according to the first rechecked monitored event data to carry out local early warning processing;
when the monitored event type data is of the second rechecking type, inquiring the monitored event list according to the monitored event data to perform local early warning processing, performing monitored event rechecking processing on the monitored event data according to the monitored event data to generate second rechecking monitored event data, and performing local early warning switching processing according to the second rechecking monitored event data;
wherein the monitored event list comprises a plurality of monitored event records; the monitoring event record comprises a monitoring event identifier and a local early warning processing identifier;
when the monitored event type data is the first recheck type, carrying out monitored event recheck processing on the monitored event data according to the monitored event data to generate first recheck monitored event data, and inquiring the monitored event list according to the first recheck monitored event data to carry out local early warning processing, wherein the method specifically comprises the following steps:
when the monitored event type data is the first rechecking type, selecting a monitored event rechecking processing flow according to the monitored event data, and performing monitored event rechecking processing on the monitored event data to generate the first rechecked monitored event data;
polling all the monitored event records in the monitored event list according to the first rechecked monitored event data, and when the monitored event identification of the monitored event record is equal to the first rechecked monitored event data, extracting the local early warning processing identification of the monitored event record to generate second local early warning processing identification data; performing second local early warning processing corresponding to the second local early warning processing identification data according to the second local early warning processing identification data;
when the monitored event type data is the second recheck type, inquiring the monitored event list according to the monitored event data to perform local early warning processing, performing monitored event recheck processing on the monitored event data according to the monitored event data to generate second recheck monitored event data, and performing local early warning switching processing according to the second recheck monitored event data, wherein the method specifically comprises the steps of:
when the monitored event type data is the second rechecking type, all the monitored event records in the monitored event list are polled according to the monitored event data, and when the monitored event identification of the monitored event record is equal to the monitored event data, the local early warning processing identification of the monitored event record is extracted to generate third local early warning processing identification data; performing third local early warning processing corresponding to the third local early warning processing identification data according to the third local early warning processing identification data;
selecting a monitored event rechecking processing flow according to the monitored event data, and performing monitored event rechecking processing on the monitored event data to generate second rechecked monitored event data;
polling all the monitored event records in the monitored event list according to the second rechecked monitored event data, and when the monitored event identification of the monitored event record is equal to the second rechecked monitored event data, extracting the local early warning processing identification of the monitored event record to generate fourth local early warning processing identification data; and switching the ongoing local early warning from the third local early warning processing to fourth local early warning processing corresponding to the fourth local early warning processing identification data.
2. The method of claim 1, wherein when the monitored event type data is the emergency type, querying a monitored event list according to the monitored event data to perform local early warning processing, and the method specifically comprises:
when the monitored event type data is the emergency type, all the monitored event records in the monitored event list are polled according to the monitored event data, and when the monitored event identification of the monitored event record is equal to the monitored event data, the local early warning processing identification of the monitored event record is extracted to generate first local early warning processing identification data; and carrying out first local early warning processing corresponding to the first local early warning processing identification data according to the first local early warning processing identification data.
3. An electronic device, comprising: memory, processor, and transceiver;
the processor being adapted to be coupled to the memory, read and execute the instructions in the memory to implement the method steps of any of claims 1-2;
the transceiver is coupled to the processor and is controlled by the processor to transmit and receive messages.
4. A computer readable storage medium storing computer instructions which, when executed by a computer, cause the computer to perform the instructions of the method of any one of claims 1-2.
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