An emergency call system for cardiology nursing

Abstract

The invention discloses an emergency call system for cardiology nursing, relates to the technical field of Internet of Things, and comprises a monitoring center, wherein the monitoring center is connected with a nursing acquisition module, an intracardiac processing module, a comprehensive analysis module and an intelligent management and control module; cardiology medical data and intracardiac monitoring data are collected by the nursing acquisition module; data conversion and feature transformation are performed on the intracardiac monitoring data in the intracardiac processing module to obtain a capture extraction coefficient; data conversion is performed on the cardiology medical data in the comprehensive analysis module, and a comprehensive capture coefficient graph is formed with the capture extraction coefficient, and a difference threshold comparison is performed on the comprehensive capture coefficient graph to obtain a difference change graph; variable determination and level determination are performed on the difference change graph by the intelligent management and control module to obtain a base measurement risk index, rescue allocation is performed on the base measurement risk index, and rescue dispatch resources are obtained; patient information is automatically acquired and processed in a centralized manner, errors in information transmission are reduced, and medical work efficiency is greatly improved.

Description

Technical Field

[0001] The invention relates to the technical field of Internet of Things, and in particular to an emergency call system for cardiology nursing. Background Art

[0002] Cardiology nursing refers to the nursing services provided to patients with heart disease in the field of cardiology. Cardiology nursing involves comprehensive care for patients with heart disease, including but not limited to disease monitoring, medication management, pre- and post-operative care for endovascular interventional procedures, maintenance of cardiac devices (such as pacemakers), as well as health education and long-term follow-up of patients.

[0003] With the aging of society and the increase in the incidence of cardiovascular diseases, the demand for cardiology care continues to rise. In emergency situations, such as cardiac arrest and heart failure, rapid and effective communication and help-seeking between patients and medical staff are essential. The emergency call systems currently on the market generally have problems such as long response time, complex operation, and inaccurate information transmission. These drawbacks are particularly evident in cardiology care; therefore, the specific needs of cardiology care are optimized and designed to significantly improve the quality of care in emergency situations; for this purpose, an emergency call system for cardiology care is now provided. Summary of the invention

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] An emergency call system for cardiology nursing, comprising a monitoring center, wherein the monitoring center is connected to a nursing acquisition module, a cardiology processing module, a comprehensive analysis module and an intelligent management and control module;

[0006] The process of collecting cardiology medical data and intracardiac monitoring data by the nursing collection module includes:

[0007] Set up the data entry terminal and user collection sub-terminal;

[0008] Enter the diagnosis through the data entry terminal to obtain cardiology medical data;

[0009] The monitoring center issues a collection instruction to the user collection sub-terminal, and performs temporal collection on the user collection sub-terminal according to the collection instruction to obtain intracardiac monitoring data;

[0010] The intracardiac monitoring data is time-matched according to the acquired acquisition instructions to obtain the actual measured acquisition time.

[0011] The process of obtaining monitoring sampling points includes:

[0012] Performing data conversion on the acquired intracardiac monitoring data to obtain an intracardiac monitoring signal;

[0013] Set the signal extraction coefficient, perform variable conversion on the signal extraction coefficient, obtain conversion parameters, perform parameter statistics on the signal extraction coefficient according to the conversion parameters, obtain the conversion interval, and obtain the conversion series according to the conversion interval and the conversion parameters;

[0014] The intracardiac monitoring signal is sampled and captured according to the conversion order to obtain the monitoring sampling point.

[0015] The process of obtaining the capture extraction coefficient includes:

[0016] An edge extraction frame is set according to the obtained monitoring sampling points, and a terminal extraction coefficient is captured by the edge extraction frame to obtain a terminal extraction coefficient;

[0017] Performing segment truncation of the terminal extraction coefficient according to the conversion order to obtain the conversion extraction coefficient segment;

[0018] The coefficients of the intracardiac monitoring signal are captured according to the obtained conversion extraction coefficient segment to obtain the capture extraction coefficient.

[0019] The process of obtaining the comprehensive capture coefficient map includes:

[0020] Performing spectrum conversion on the obtained capture extraction coefficient based on the measured acquisition time to obtain a capture extraction coefficient graph, and marking the measured acquisition time in the capture extraction coefficient graph to obtain a measured node;

[0021] Perform data conversion on cardiology medical data to obtain intracardiac medical signals, perform coefficient capture on intracardiac medical signals according to the conversion extraction coefficient segments to obtain captured medical coefficients, upload the captured medical coefficients to a capture extraction coefficient graph to obtain a comprehensive capture coefficient graph.

[0022] The process of generating a difference change graph based on the difference coefficient value includes:

[0023] Perform difference threshold comparison on the comprehensive capture coefficient map to obtain the difference coefficient value;

[0024] A two-dimensional rectangular coordinate system of the difference coefficient value is constructed according to the measured nodes, a difference value curve is generated according to the obtained difference coefficient value, and the obtained difference value curve is uploaded to the two-dimensional rectangular coordinate system to obtain a difference change diagram.

[0025] The process of obtaining rescue dispatch resources includes:

[0026] Set the determination threshold axis according to the difference change graph, and upload the determination threshold axis to the difference change graph;

[0027] According to the difference change diagram, the standard sample actual measurement points are set, and based on the standard sample actual measurement points, the difference value curve is subjected to variable determination according to the determination threshold axis to obtain the safety threshold coefficient and the excess threshold coefficient;

[0028] According to the safety threshold coefficient and the excess threshold coefficient, the grade of the standard sample actual measurement point is determined to obtain the basic measurement hazard index;

[0029] Rescue is allocated based on the basic risk indicators obtained to obtain rescue dispatch resources.

[0030] The process of allocating rescue efforts based on the obtained baseline risk indicators includes:

[0031] Enter resources for hospital rescue services through the data entry terminal to obtain medical rescue resources;

[0032] According to the basic risk index, a progressive factor is set, and the basic risk index is progressively divided according to the progressive factor to obtain a progressive risk level;

[0033] Medical rescue resources are matched according to progressive danger levels to obtain rescue dispatch resources.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] Perform data conversion and feature transformation on the collected intracardiac monitoring data to obtain the capture extraction coefficient, process the collected cardiology medical data into the same form of capture medical coefficient, form a comprehensive capture coefficient graph based on the capture extraction coefficient and the capture medical coefficient, and perform difference threshold comparison on the comprehensive capture coefficient graph to obtain a difference change graph; monitor the patient's condition in real time, collect the patient's monitoring data and process it uniformly, and effectively reduce errors in the information transmission process;

[0036] Perform variable and level judgment on the differential change graph to obtain the basic risk index, allocate rescue for the basic risk index, and obtain rescue dispatch resources; quickly allocate rescue forces to patients, shorten treatment time, improve rescue success rate, effectively reduce the accidental risks of cardiology patients, and ensure the safety of patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0039] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] like Figure 1 As shown, an emergency call system for cardiology nursing includes a monitoring center, and the monitoring center is connected to a nursing collection module, a cardiology processing module, a comprehensive analysis module and an intelligent management and control module;

[0041] The nursing collection module is used to collect cardiology medical data and intracardiac monitoring data. The specific process includes:

[0042] Set up the data entry terminal and user collection sub-terminal;

[0043] Enter the diagnosis through the data entry terminal to obtain cardiology medical data;

[0044] Furthermore, the diagnosis entry means entering the medical data of the cardiology department, wherein the medical data includes clinical research on heart disease, medical literature, patient data, biomarker research data, imaging research data, and epidemiological survey data. The entered medical data is used to determine the severity and urgency of the heart disease patient and to match the corresponding medical rescue;

[0045] The monitoring center issues a collection instruction to the user collection sub-terminal, and performs temporal collection on the user collection sub-terminal through the collection instruction to obtain intracardiac monitoring data;

[0046] The intracardiac monitoring data includes vital sign data, patient symptom data, and surrounding environment information;

[0047] It should be further explained that, in the specific implementation process, the user collection sub-end is set at a place where the patient can be monitored, and is used to monitor the patient's vital signs and collect the nurse's drug treatment data and condition assessment data of the patient;

[0048] The acquisition instruction includes an acquisition interval and an acquisition time, and real-time acquisition is performed on the patient at a corresponding time point according to the acquisition interval and the acquisition time to obtain intracardiac monitoring data at the corresponding acquisition time point; the temporal acquisition means that data of the user acquisition sub-end is collected according to the acquisition time to obtain real-time data;

[0049] Performing time matching on the intracardiac monitoring data according to the acquired acquisition instruction to obtain the measured acquisition time, and associating the acquired measured acquisition time with the corresponding intracardiac monitoring data;

[0050] Furthermore, the measured acquisition time indicates the time point at which the intracardiac monitoring data is obtained through the user acquisition sub-terminal.

[0051] The intracardiac processing module is used to perform data conversion and feature transformation on the intracardiac monitoring data to obtain the capture extraction coefficient. The specific process includes:

[0052] Performing data conversion on the acquired intracardiac monitoring data to obtain an intracardiac monitoring signal;

[0053] Furthermore, the data conversion means converting the obtained intracardiac monitoring data into a signal form to obtain an intracardiac monitoring signal;

[0054] According to the vital sign data, patient symptom data and surrounding environment information included in the intracardiac monitoring data, the intracardiac monitoring signal includes a vital sign signal, a patient symptom signal and a surrounding environment signal;

[0055] Setting a signal extraction coefficient, wherein the signal extraction coefficient is expressed in a function form;

[0056] Performing a change conversion on the obtained signal extraction coefficient to obtain a conversion parameter;

[0057] Furthermore, the change conversion represents the scaling and translation transformation of the control signal extraction coefficients in the time dimension and the frequency dimension, and the distance of the scaling and translation transformation is marked to obtain the transformation parameters;

[0058] Perform parameter statistics on the signal extraction coefficients according to the obtained conversion parameters to obtain the conversion interval;

[0059] Furthermore, the parameter statistics represent that the distances between the conversion parameters are counted in the signal extraction coefficients to obtain the conversion interval;

[0060] The conversion order is obtained according to the obtained conversion interval and conversion parameter, and the obtained conversion order is marked as ZH, where: , C represents the signal length of the intracardiac monitoring signal, z represents the conversion interval, m represents the number of conversion intervals, and s represents the conversion parameter, " indicates calculation" " and then round down;

[0061] Sampling and capturing the intracardiac monitoring signal according to the obtained conversion level to obtain a monitoring sampling point;

[0062] Further, the sampling capture means setting a sampling interval first, selecting the amplitude point of the signal in the intracardiac monitoring signal according to the time interval according to the set sampling interval, and obtaining the monitoring sampling point, wherein the number of the set sampling intervals is related to the number of conversion levels, and the number of sampling intervals = β * the number of conversion levels, β is a proportional factor, 1<β<2;

[0063] An edge extraction frame is set according to the obtained monitoring sampling points, and the length of the obtained edge extraction frame is a, where a=θ*the number of monitoring sampling points, θ is a proportional coefficient, and θ is a positive integer, θ>2;

[0064] The obtained edge extraction box is marked as B(t), where , is the weight coefficient, t represents the monitoring sampling point, Indicates the number of monitoring sampling points;

[0065] Perform terminal capture of the signal extraction coefficient through the edge extraction frame to obtain the terminal extraction coefficient;

[0066] Further, the terminal capture means uploading the obtained edge extraction frame to the signal extraction coefficient, dynamically convolving the signal extraction coefficient through the edge extraction frame, obtaining the terminal extraction convolution, and marking the obtained terminal extraction convolution as ZD, wherein, H, " represents the convolution symbol, H represents the signal extraction coefficient, and the obtained terminal extraction convolution is subjected to discrete Fourier transform to obtain the terminal extraction coefficient;

[0067] According to the obtained conversion order, the terminal extraction coefficient is segmented to obtain the conversion extraction coefficient segment;

[0068] Furthermore, the segment truncation means that the terminal extraction coefficients are equally divided according to the number of conversion levels to obtain conversion extraction coefficient segments of equal length;

[0069] Perform coefficient capture on the intracardiac monitoring signal according to the obtained conversion extraction coefficient segment to obtain the capture extraction coefficient;

[0070] It should be further explained that, in the specific implementation process, the coefficient capture process includes:

[0071] According to the order of segment interception, the obtained conversion extraction coefficient segment is uploaded to the intracardiac monitoring signal, and the conversion extraction coefficient segment is convolved with the corresponding position of the intracardiac monitoring signal to obtain the convolution monitoring signal segment, and then the next conversion extraction coefficient segment is uploaded to the intracardiac monitoring signal, and the convolution process is repeated to obtain the convolution monitoring signal segment, until all the conversion extraction coefficient segments are convolved with the intracardiac monitoring signal, and the obtained convolution monitoring signal segments are summed to obtain the capture extraction coefficient;

[0072] Further, according to the vital sign signal, the patient symptom signal and the surrounding environment signal included in the intracardiac monitoring signal, the capture and extraction coefficients include the vital sign coefficient, the patient symptom coefficient and the surrounding environment coefficient.

[0073] The comprehensive analysis module is used to perform data conversion on the cardiology medical data, and to form a comprehensive capture coefficient map with the capture extraction coefficient, and to perform a difference threshold comparison on the comprehensive capture coefficient map to obtain a difference change map. The specific process includes:

[0074] Performing spectrum conversion on the obtained capture extraction coefficient based on the measured acquisition time to obtain a capture extraction coefficient graph, and marking the measured acquisition time in the capture extraction coefficient graph to obtain a measured node;

[0075] Furthermore, the capture extraction coefficient diagram is a two-dimensional rectangular coordinate system consisting of the measured acquisition time as the horizontal axis and the capture extraction coefficient as the vertical axis, and the measured acquisition time is marked as a measured node in the capture extraction coefficient diagram, and according to the intracardiac monitoring data collected at each measured acquisition time, each measured node corresponding to the measured acquisition time in the capture extraction coefficient diagram has a corresponding capture extraction coefficient;

[0076] Performing data conversion on the acquired cardiology medical data to obtain cardiology medical signals;

[0077] Perform coefficient capture on the intracardiac medical signal according to the obtained conversion extraction coefficient segment to obtain captured medical coefficients;

[0078] The obtained captured medical coefficient is uploaded to the captured extraction coefficient diagram to obtain a comprehensive captured coefficient diagram, and the comprehensive captured coefficient diagram is curve-marked to obtain an extraction coefficient spectrum line and a medical coefficient spectrum line, wherein the extraction coefficient spectrum line represents a variation curve generated in the comprehensive captured coefficient diagram according to the captured extraction coefficient, and the medical coefficient spectrum line represents a variation curve generated in the comprehensive captured coefficient diagram according to the captured medical coefficient;

[0079] It should be further explained that, in the specific implementation process, the extraction coefficient spectrum and the medical coefficient spectrum in the obtained comprehensive capture coefficient diagram are marked with different colors, that is, the extraction coefficient spectrum is marked with one color, and the medical coefficient spectrum is marked with another color. According to the vital sign coefficient, patient symptom coefficient and surrounding environment coefficient included in the capture extraction coefficient, the corresponding capture medical coefficient is also composed of coefficients of medical standard data corresponding to the vital sign coefficient, patient symptom coefficient and surrounding environment coefficient. For example, the vital sign coefficient has a corresponding standard vital sign coefficient in the medical coefficient spectrum. By comparing the vital sign coefficient with the standard vital sign coefficient in the medical coefficient spectrum, it is determined whether the patient's indicator is safe. If it is not safe, the patient needs to be rescued.

[0080] Perform a difference threshold comparison on the obtained comprehensive capture coefficient map to obtain the difference coefficient value, and mark the obtained difference coefficient value as ∆ ,in, , represents the captured medical coefficient of the medical coefficient spectrum at the i-th measured node, represents the capture extraction coefficient of the medical coefficient spectrum at the i-th measured node, i represents the sequence number of the measured node, i=1, 2, 3, ..., v1, v1 is a positive integer;

[0081] A two-dimensional rectangular coordinate system of the difference coefficient value is constructed according to the measured nodes, a difference value curve is generated according to the obtained difference coefficient value, and the obtained difference value curve is uploaded to the two-dimensional rectangular coordinate system to obtain a difference change diagram.

[0082] The intelligent control module is used to perform variable determination and level determination on the difference change graph, obtain the basic measurement risk index, perform rescue allocation on the basic measurement risk index, and obtain rescue dispatch resources. The specific process includes:

[0083] Setting a determination threshold axis for the obtained difference change graph, wherein the determination threshold axis includes a determination upper limit axis and a determination lower limit axis, and the set determination threshold axis is a horizontal line parallel to the horizontal axis;

[0084] Uploading the obtained determination threshold axis to the difference change graph;

[0085] In particular, according to the vital sign coefficient, patient symptom coefficient and surrounding environment coefficient included in the capture extraction coefficient, the determination threshold axis is set according to the standard coefficient corresponding to the vital sign coefficient, patient symptom coefficient and surrounding environment coefficient respectively, then, the determination threshold axis corresponding to different indicators is different; for example, the heart rate data in the vital sign data, the safety range that can be set according to the normal range of the heart rate data of the vital sign data in the cardiology medical data is the range of the determination threshold axis;

[0086] The standard sample actual measurement points are set according to the obtained difference change diagram, and the difference value curve is subjected to variable determination according to the determination threshold axis based on the standard sample actual measurement points to obtain the safety threshold coefficient and the excess threshold coefficient;

[0087] The set standard sample actual measurement point is to select any actual measurement node in the difference change diagram as the standard sample actual measurement point. In this embodiment, i=1 is used as the first standard sample actual measurement point for comparison, and the points are selected in sequence according to the number of the actual measurement nodes.

[0088] It should be further explained that, in the specific implementation process, the variable determination process includes:

[0089] When the difference coefficient value is greater than or equal to the lower limit axis and less than or equal to the upper limit axis, the difference coefficient value is a safe difference value, and the capture extraction coefficient corresponding to the safe difference value is obtained, and the obtained capture extraction coefficient is marked as a safe threshold coefficient, indicating that the capture extraction coefficient at the actual measurement point of the standard sample is qualified and does not reach the dangerous range of the indicator, that is, the indicator of the patient is within the safe range;

[0090] When the difference coefficient value is less than the lower limit axis or greater than the upper limit axis, the difference coefficient value is an abnormal difference value, and the capture extraction coefficient corresponding to the abnormal difference value is obtained, and the obtained capture extraction coefficient is marked as an excess threshold coefficient, indicating that the capture extraction coefficient at the actual measurement point of the standard sample is unqualified and exceeds the dangerous range of the indicator, that is, the indicator of the patient is abnormal;

[0091] According to the obtained safety threshold coefficient and excess threshold coefficient, the grade of the standard sample actual measurement point is determined to obtain the basic measurement hazard index;

[0092] Furthermore, the level determination means making a safety determination on the actual measurement point of the standard sample to determine whether the various indicators of the patient are within the safety range. If they are beyond the safety range, the risk level is divided according to the excess threshold coefficient, and the divided risk level is used for medical rescue services;

[0093] The process of grade determination includes:

[0094] Based on the actual measurement points of the standard samples, the safety threshold coefficients and the excess threshold coefficients are statistically analyzed to obtain the safety threshold quantity and the excess threshold quantity;

[0095] The number statistics indicate that at the same standard sample actual measurement point, the capture extraction coefficients corresponding to multiple indicators can be obtained according to the intracardiac monitoring data, and the number of these capture extraction coefficients determined as safety threshold coefficients is counted to obtain the safety threshold amount, and the number of these capture extraction coefficients determined as excess threshold coefficients is counted to obtain the excess threshold amount;

[0096] The base measurement hazard index is obtained according to the obtained safety threshold value and the excess threshold value, and the obtained base measurement hazard index is marked as JW, where: *φ, represents the safety threshold value, represents the excess threshold amount, φ represents the weight coefficient, and the final form of the basic risk index is in percentage form;

[0097] Allocate rescue operations based on the basic risk indicators obtained and obtain rescue dispatch resources;

[0098] It should be further explained that, in the specific implementation process, the rescue allocation process includes:

[0099] Enter resources for hospital rescue services through the data entry terminal to obtain medical rescue resources;

[0100] Furthermore, the medical rescue resources refer to the rescue resources required for medical rescue of patients in emergency situations in the hospital, including rescue personnel, rescue equipment, and medical supplies. The obtained medical rescue resources include not only the rescue resources of the hospital where the patient is treated, but also the rescue resources of the nearest hospitals, so as to ensure that the rescue resources of surrounding hospitals can be mobilized as quickly as possible when the rescue resources of the hospital are in short supply;

[0101] A progressive factor is set according to the obtained basic risk index, and the obtained progressive factor is marked as e, where e is expressed in percentage form, for example, e=5% or e=3%;

[0102] The basic risk index is progressively divided according to the obtained progressive factors to obtain the progressive risk level;

[0103] The progressive division means obtaining the maximum value of the base-measured risk index, recording the maximum value of the base-measured risk index as the initial progressive point, and dividing the base-measured risk index into levels based on the progressive factor starting from the initial progressive point, that is, recording the initial progressive point as 100%, subtracting a progressive factor from the initial progressive point to obtain a primary progressive point, and marking the base-measured risk index between the primary progressive point and the initial progressive point as the first risk level, then subtracting a progressive factor from the primary progressive point to obtain a secondary progressive point, and marking the base-measured risk index between the secondary progressive point and the primary progressive point as the second risk level, and so on, until the base-measured risk index minus the progressive factor is less than or equal to zero, then the level division is completed, and the obtained first risk level, second risk level, ..., Nth risk level are the progressive risk levels, wherein N represents the risk level after the last base-measured risk index minus the progressive factor;

[0104] According to the obtained progressive danger level, medical rescue resources are matched to obtain rescue dispatch resources;

[0105] Further, the level matching means that according to the obtained Nth risk level of the progressive risk level, the obtained medical rescue resources are divided into K parts to obtain graded rescue resources, wherein K=N, that is, the number of medical rescue resources is equal to the number of progressive risk levels;

[0106] According to the obtained progressive danger level and graded rescue resources, the danger rescue amount is obtained, and the obtained danger rescue amount is marked as WX, where: , and N is the danger level corresponding to the basic risk indicator. For example, if the final Nth danger level is the tenth danger level, then N=10. When the basic risk indicator corresponds to the first danger level, , then the amount of dangerous rescue obtained is 9;

[0107] Corresponding medical rescue resources are obtained according to the obtained dangerous rescue amount, and recorded as rescue dispatch resources, that is, corresponding rescue dispatch resources are obtained according to the amount of dangerous rescue obtained; for example, if the dangerous rescue amount is 9, then 90% of the medical rescue resources will be allocated to patients and rescue the patients, of which 90% means 90% of the medical rescue resources; if the dangerous rescue amount is 3, then 30% of the medical rescue resources will be allocated to patients and rescue the patients, of which 30% means 30% of the medical rescue resources.

[0108] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An emergency call system for cardiology nursing, comprising a monitoring center, characterized in that: The monitoring center is connected to a nursing collection module, an intracardiac processing module, a comprehensive analysis module, and an intelligent management and control module; The nursing collection module is used to collect cardiology medical data and intracardiac monitoring data; The intracardiac monitoring data includes vital sign data, patient symptom data, and surrounding environment information; The intracardiac processing module is used to perform data conversion on the intracardiac monitoring data to obtain the intracardiac monitoring signal, set the signal extraction coefficient and perform conversion to obtain the conversion series, sample and capture the intracardiac monitoring signal according to the conversion series, and obtain the monitoring sampling point: Performing data conversion on the acquired intracardiac monitoring data to obtain an intracardiac monitoring signal; Setting a signal extraction coefficient, performing a change conversion on the signal extraction coefficient, wherein the change conversion represents controlling the scaling and translation transformation of the signal extraction coefficient in the time dimension and the frequency dimension, and marking the distance of the scaling and translation transformation to obtain a conversion parameter, performing parameter statistics on the signal extraction coefficient according to the conversion parameter, wherein the parameter statistics represents performing statistics on the distance between the conversion parameters in the signal extraction coefficient to obtain a conversion interval, and obtaining a conversion order according to the conversion interval and the conversion parameter; Sampling and capturing the intracardiac monitoring signal according to the conversion order to obtain the monitoring sampling point; According to the monitoring sampling points, the edge extraction frame is set to capture the coefficients of the intracardiac monitoring signal to obtain the capture extraction coefficients: An edge extraction frame is set according to the obtained monitoring sampling points, and the signal extraction coefficient is terminally captured through the edge extraction frame. The terminal capture means uploading the obtained edge extraction frame to the signal extraction coefficient, and dynamically convolving the signal extraction coefficient through the edge extraction frame to obtain the terminal extraction convolution, and marking the obtained terminal extraction convolution as ZD, wherein, , the obtained edge extraction box is marked as B(t)," " represents the convolution symbol, H represents the signal extraction coefficient, and the obtained terminal extraction convolution is subjected to discrete Fourier transform to obtain the terminal extraction coefficient; The terminal extraction coefficient is segmented according to the conversion level, wherein the segmentation means that the terminal extraction coefficient is equally divided according to the number of conversion levels to obtain conversion extraction coefficient segments of equal length; The intracardiac monitoring signal is coefficient captured according to the obtained conversion extraction coefficient segment, the obtained conversion extraction coefficient segment is uploaded to the intracardiac monitoring signal according to the order of segment interception, and the conversion extraction coefficient segment is convolved with the corresponding position of the intracardiac monitoring signal to obtain a convolution monitoring signal segment, and then the next conversion extraction coefficient segment is uploaded to the intracardiac monitoring signal, and the convolution process is repeated to obtain a convolution monitoring signal segment, until all the conversion extraction coefficient segments are convolved with the intracardiac monitoring signal, and the obtained convolution monitoring signal segments are summed to obtain the capture extraction coefficient; The comprehensive analysis module is used to perform spectrum conversion on the capture extraction coefficient to obtain a capture extraction coefficient map, perform data conversion on the cardiology medical data and upload it to the capture extraction coefficient map to obtain a comprehensive capture coefficient map: Performing spectrum conversion on the obtained capture extraction coefficient based on the measured acquisition time to obtain a capture extraction coefficient graph, and marking the measured acquisition time in the capture extraction coefficient graph to obtain a measured node; The capture extraction coefficient diagram is a two-dimensional rectangular coordinate system consisting of the measured acquisition time as the horizontal axis and the capture extraction coefficient as the vertical axis, and the measured acquisition time is marked as a measured node in the capture extraction coefficient diagram, and according to the intracardiac monitoring data collected at each measured acquisition time, each measured node corresponding to the measured acquisition time in the capture extraction coefficient diagram has a corresponding capture extraction coefficient; Performing data conversion on cardiology medical data to obtain intracardiac medical signals, performing coefficient capture on the intracardiac medical signals according to the conversion extraction coefficient segment to obtain captured medical coefficients, uploading the captured medical coefficients to a capture extraction coefficient map to obtain a comprehensive capture coefficient map; Perform difference threshold comparison on the comprehensive capture coefficient map to obtain the difference coefficient value, and generate the difference change map according to the difference coefficient value: Perform difference threshold comparison on the comprehensive capture coefficient map to obtain the difference coefficient value; A two-dimensional rectangular coordinate system of differential coefficient values ​​is constructed according to the measured nodes, a differential value curve is generated according to the obtained differential coefficient values, and the obtained differential value curve is uploaded to the two-dimensional rectangular coordinate system to obtain a differential change diagram; The intelligent control module is used to perform variable determination on the difference change diagram based on the standard sample measured point according to the determination threshold axis, obtain the safety threshold coefficient and the excess threshold coefficient, perform grade determination on the standard sample measured point through the safety threshold coefficient and the excess threshold coefficient, obtain the basic measurement hazard index, perform rescue allocation on the basic measurement hazard index, and obtain rescue dispatch resources: Set the determination threshold axis according to the difference change graph, and upload the determination threshold axis to the difference change graph; According to the difference change diagram, the standard sample actual measurement points are set, and based on the standard sample actual measurement points, the difference value curve is subjected to variable determination according to the determination threshold axis to obtain the safety threshold coefficient and the excess threshold coefficient; According to the safety threshold coefficient and the excess threshold coefficient, the grade of the standard sample actual measurement point is determined to obtain the basic measurement hazard index; Rescue is allocated based on the basic risk indicators obtained to obtain rescue dispatch resources.

2. An emergency call system for cardiology nursing according to claim 1, characterized in that: The process of collecting cardiology medical data and intracardiac monitoring data by the nursing collection module includes: Set up the data entry terminal and user collection sub-terminal; Enter the diagnosis through the data entry terminal to obtain cardiology medical data; The monitoring center issues a collection instruction to the user collection sub-terminal, and performs temporal collection on the user collection sub-terminal according to the collection instruction to obtain intracardiac monitoring data; The intracardiac monitoring data is time-matched according to the acquired acquisition instructions to obtain the actual measured acquisition time.

3. An emergency call system for cardiology nursing according to claim 1, characterized in that: The process of allocating rescue efforts based on the obtained baseline risk indicators includes: Enter resources for hospital rescue services through the data entry terminal to obtain medical rescue resources; According to the basic risk index, a progressive factor is set, and the basic risk index is progressively divided according to the progressive factor to obtain a progressive risk level; Medical rescue resources are matched according to progressive danger levels to obtain rescue dispatch resources.

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