CN116725549B - Electrocardiogram data analysis method, apparatus, computer device and storage medium - Google Patents
Electrocardiogram data analysis method, apparatus, computer device and storage medium Download PDFInfo
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Abstract
The application relates to an electrocardio data analysis method, an electrocardio data analysis device, computer equipment and a storage medium. The method comprises the following steps: acquiring current electrocardiographic data acquired in a first stage corresponding to target electrocardiographic detection; the current electrocardiographic data at least comprises a current resting electrocardiographic signal; analyzing the high-frequency component of the QRS complex in the current electrocardiograph data according to the target electrocardiograph detection to obtain the current overall risk assessment score; analyzing the current resting electrocardiosignal to obtain an autonomic innervation evaluation score and a cardiac function evaluation score; acquiring a historical overall risk assessment score corresponding to the testee in the second stage; the historical overall risk assessment score is determined by historical electrocardiographic data corresponding to target electrocardiographic detection; determining a rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score; the rehabilitation guidance reference index comprises an overall risk change index and a target risk assessment grade.
Description
Technical Field
The present application relates to the field of electrocardiographic data processing technology, and in particular, to an electrocardiographic data analysis method, an electrocardiographic data analysis device, a computer device, and a storage medium.
Background
The heart disease mortality rate can be effectively reduced through prevention, monitoring and timely rehabilitation treatment of heart disease. And how to evaluate the cardiac rehabilitation situation in the first stage of the cardiac disease, so that the doctor can provide further rehabilitation guidance reference advice based on the cardiac rehabilitation situation and clinical symptoms.
Currently, cardiac rehabilitation is usually evaluated based on clinical gold standards or ST-T segment data in an electrocardiogram, but most clinical gold standards are invasive tests, which have a more or less effect on the physical health of a subject, and heart health conditions of the subject are identified by fuzzy qualitative based on ST-T segment data, so that cardiac rehabilitation is evaluated, and there is a problem of low evaluation accuracy. Therefore, the existing assessment method has the problem that the non-invasive damage and the accuracy cannot be considered.
Disclosure of Invention
Based on the foregoing, it is necessary to provide an electrocardiographic data analysis method, an electrocardiographic data analysis device, a computer device and a storage medium for accurately assessing cardiac rehabilitation through a noninvasive manner.
A method of electrocardiographic data analysis, the method comprising:
acquiring current electrocardiographic data acquired in a first stage corresponding to target electrocardiographic detection; the current electrocardio data at least comprises a current resting electrocardio signal;
Analyzing high-frequency components of a QRS complex in the current electrocardiograph data according to the target electrocardiograph detection to obtain a current overall risk assessment score;
analyzing the current resting electrocardiosignal to obtain an autonomic innervation evaluation score and a cardiac function evaluation score;
acquiring a historical overall risk assessment score corresponding to the testee in the second stage; the historical overall risk assessment score is determined by historical electrocardiographic data corresponding to the target electrocardiographic detection;
determining a rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score; the rehabilitation guidance reference index comprises an overall risk change index and a target risk assessment grade.
In one embodiment, the analyzing the current resting electrocardiographic signal to obtain an autonomic innervation assessment score and a cardiac function assessment score includes:
analyzing the high-frequency component of the QRS complex in the current resting electrocardiosignal to obtain a current high-frequency QRS envelope curve;
determining an autonomic innervation evaluation index and a cardiac function evaluation index according to the current high-frequency QRS envelope curve;
Determining an autonomic nerve evaluation score according to the autonomic nerve evaluation index;
and determining a heart function evaluation score according to the heart function evaluation index.
In one embodiment, the autonomic innervation assessment indicator comprises limb lead average voltage and chest lead average voltage; the determining the autonomic nerve evaluation score according to the autonomic nerve evaluation index comprises the following steps:
an autonomic innervation assessment score is determined from the ratio of the limb lead average voltage to the chest lead average voltage.
In one embodiment, the cardiac performance assessment indicator comprises a current high frequency morphology index with QRS time limit corresponding to each resting lead; the determining the cardiac function assessment score according to the cardiac function assessment index comprises the following steps:
determining coefficients according to the QRS time limit, and determining scores of corresponding resting leads according to the current high-frequency morphological index;
and determining a centering function evaluation score according to the product of the sum value of the scores and the coefficient.
In one embodiment, the cardiac performance assessment indicator further comprises at least one of a current resting positive lead number and an arrhythmia assessment indicator; said determining a cardiac function assessment score based on the product of the sum of said scores and said coefficients, comprising:
Determining a first cardiac function assessment sub-score based on a product of a sum of the scores and the coefficient;
determining a heart function assessment sub-score from at least one of a second heart function assessment sub-score and a third heart function assessment sub-score, and the first heart function assessment sub-score; the second cardiac function assessment sub-score is determined by the current resting positive lead number; the third cardiac function assessment sub-score is determined by the arrhythmia assessment index.
In one embodiment, if the target electrocardiographic detection comprises a resting electrocardiographic detection, the current electrocardiographic data further comprises an age of the subject; analyzing the high-frequency component of the QRS complex in the current electrocardiograph data according to the target electrocardiograph detection to obtain a current overall risk assessment score, wherein the method comprises the following steps:
analyzing the high-frequency component of the QRS complex in the current resting electrocardiosignal to obtain a current high-frequency QRS envelope curve;
determining a current resting reference feature according to the current high-frequency QRS envelope curve and the age; the current resting reference characteristic comprises the current resting positive lead number, the current resting critical lead number, the first target lead number, the second target lead number, the current target frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads with a current high frequency morphology index greater than or equal to a first index threshold; the second target number of leads refers to the number of resting leads for which the current root mean square voltage is less than or equal to the first voltage threshold; the current target frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to the rest leads; the current target root-mean-square voltage is the minimum value of the current root-mean-square voltages corresponding to the rest leads;
And determining a current overall risk assessment score according to the current rest reference characteristics.
In one embodiment, if the target electrocardiographic detection includes resting electrocardiographic detection and load movement electrocardiographic detection, the current electrocardiographic data further includes an age of the subject and a current movement electrocardiographic signal; analyzing the high-frequency component of the QRS complex in the current electrocardiograph data according to the target electrocardiograph detection to obtain a current overall risk assessment score, wherein the method comprises the following steps:
analyzing the high-frequency component of the QRS complex in the current resting electrocardiosignal to obtain a current high-frequency QRS envelope curve;
determining a current resting reference feature according to the current high-frequency QRS envelope curve and the age; the current resting reference characteristic comprises the current resting positive lead number, the current resting critical lead number, the first target lead number, the second target lead number, the current target frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads with a current high frequency morphology index greater than or equal to a first index threshold; the second target number of leads refers to the number of resting leads for which the current root mean square voltage is less than or equal to the first voltage threshold; the current target frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to the rest leads; the current target root-mean-square voltage is the minimum value of the current root-mean-square voltages corresponding to the rest leads;
Analyzing the high-frequency component of the QRS complex in the current motion electrocardiosignal to obtain a current high-frequency QRS waveform curve;
determining a current maximum heart rate of the subject according to the current exercise electrocardiosignal;
determining a current motion reference feature according to the current high-frequency QRS waveform curve, the age and the current maximum heart rate; the current motion reference characteristics comprise the number of current motion positive leads, the number of current motion critical leads, the number of third target leads, the number of fourth target leads and the number of fifth target leads, and a first amplitude reduction relative value and a second amplitude reduction relative value corresponding to each motion lead; the third target number of leads refers to the number of moving leads having a corresponding first amplitude decrease relative value greater than or equal to a first relative value threshold; the fourth target lead number refers to the number of motion leads with descending and ascending repeated fluctuation trend of the corresponding current high-frequency QRS waveform curve in a first time period; the fifth target number of leads refers to the number of moving leads having a corresponding second amplitude decrease relative value greater than or equal to a second relative value threshold;
and determining a current overall risk assessment score according to the current rest reference characteristic and the current motion reference characteristic.
In one embodiment, the determining the current overall risk assessment score from the current resting reference feature and the current motion reference feature includes:
determining a current overall risk assessment score according to the current rest reference feature, the current motion reference feature and the current fusion reference feature; the current fusion reference feature comprises the current resting positive lead number, the current resting critical lead number, the first target lead number, the current target frequency morphology index, the current motion positive lead number and the current motion critical lead number, and a second amplitude reduction relative value corresponding to each motion lead.
In one embodiment, the determining a rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic innervation assessment score, and the cardiac function assessment score comprises:
determining an overall risk change index according to the current overall risk assessment score and the historical overall risk assessment score;
and determining a target risk assessment grade according to the current overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score.
An electrocardiographic data analysis device, the device comprising:
the acquisition module is used for acquiring current electrocardiographic data acquired corresponding to target electrocardiographic detection in the first stage; the current electrocardio data at least comprises a current resting electrocardio signal;
the analysis module is used for analyzing the high-frequency components of the QRS complex in the current electrocardiograph data according to the target electrocardiograph detection to obtain a current overall risk assessment score;
the analysis module is also used for analyzing the current resting electrocardiosignal to obtain an autonomic innervation evaluation score and a cardiac function evaluation score;
the acquisition module is further used for acquiring a historical overall risk assessment score corresponding to the testee in the second stage; the historical overall risk assessment score is determined by historical electrocardiographic data corresponding to the target electrocardiographic detection;
the evaluation module is used for determining a rehabilitation guidance reference index according to the current overall risk evaluation score, the historical overall risk evaluation score, the autonomic innervation evaluation score and the cardiac function evaluation score; the rehabilitation guidance reference index comprises an overall risk change index and a target risk assessment grade.
A computer device comprising a memory storing a computer program and a processor implementing steps in various method embodiments when the computer program is executed.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs steps in various method embodiments.
According to the electrocardio data analysis method, device, computer equipment and storage medium, the current electrocardio data which are acquired for target electrocardio detection in the first stage and at least comprise current resting electrocardio signals are obtained, the high-frequency components of the QRS complex in the current electrocardio data are analyzed according to the target electrocardio detection, the current overall risk assessment score which characterizes the overall health condition of the heart of a testee in the first stage is obtained, the autonomic innervation assessment score which characterizes the autonomic innervation condition is obtained through analyzing the current resting electrocardio signals, the cardiac function assessment score which characterizes the cardiac function condition is obtained, the historical overall risk assessment score which is determined based on the historical electrocardio data which corresponds to the target electrocardio detection in the second stage and is used for characterizing the overall health condition of the heart of the testee in the second stage is obtained, and the recovery guide reference index which comprises the overall risk change index and the target risk assessment grade is obtained comprehensively by comprehensively considering the current overall risk assessment score, so that the doctor can refer to the doctor accurately refer to the recovery guide by combining clinical symptoms through the non-invasive heart condition of the testee in the first stage.
Drawings
FIG. 1 is a flow chart of a method of analyzing electrical data in a center according to one embodiment;
FIG. 2 is a flow chart of a method for analyzing electrical data in a center according to another embodiment;
FIG. 3 is a block diagram of the structure of a central electrical data analysis device according to one embodiment;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The electrocardio data analysis method provided by the application can be applied to a terminal, a server and an interactive system comprising the terminal and the server, and is realized through the interaction between the terminal and the server, and is not particularly limited. The terminal may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, electrocardiograph monitoring devices and portable wearable devices, and the server may be implemented by a separate server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 1, an electrocardiographic data analysis method is provided, which is applied to a server, and specifically includes the following steps:
s102, acquiring current electrocardiographic data acquired corresponding to target electrocardiographic detection in a first stage; the current electrocardiographic data includes at least a current resting electrocardiographic signal.
The target electrocardiographic detection refers to the type of electrocardiographic detection suitable for a subject, and is matched with clinical indications of the subject before a rehabilitation stage, and at least comprises resting electrocardiographic detection. Clinical indications of the subject before the rehabilitation stage are used for indicating that the subject is suitable for electrocardiographic detection before the rehabilitation stage, and particularly are used for indicating whether the subject can perform load exercise electrocardiographic detection or not, and the clinical data comprise whether the subject is in hypoglycemia, hypotension and myocardial infarction acute attack stage, whether vital signs are stable or not and the like. If the vital sign is stable and the acute attack stage of the hypoglycemia, the hypotension and the myocardial infarction is eliminated, the target electrocardio detection matched with the clinical indication comprises resting electrocardio detection and loading movement electrocardio detection, otherwise, the target electrocardio detection matched with the clinical indication comprises resting electrocardio detection. The subject is in a resting state during resting electrocardiographic detection. The subject is in motion during the load motion electrocardiographic detection to increase the subject's cardiac load through motion. The specific details of the clinical indications described above are by way of example only and are not intended to be limiting.
Specifically, current electrocardiographic data of the subject is acquired, the current electrocardiographic data being electrocardiographic data acquired during a target electrocardiographic detection of the first stage, the target electrocardiographic detection being determined by a clinical indication of the subject in the second stage. The target electrocardiograph detection at least comprises resting electrocardiograph detection, and the current electrocardiograph data at least comprises the current resting electrocardiograph signal acquired in the resting electrocardiograph detection process of the first stage.
In one embodiment, if the target electrocardiographic detection comprises a resting electrocardiographic detection, the current electrocardiographic data comprises a current resting electrocardiographic signal and an age of the subject. If the target electrocardiograph detection comprises resting electrocardiograph detection and load movement electrocardiograph detection, the current electrocardiograph data comprises the age of the testee, the current resting electrocardiograph signal and the current movement electrocardiograph signal acquired in the load movement electrocardiograph detection process of the first stage.
In one embodiment, the first phase is later than the second phase, e.g., the first phase corresponds to a rehabilitation phase, the second phase corresponds to a preceding rehabilitation phase, and e.g., both the first phase and the second phase are in rehabilitation phase, and the first phase corresponds to a current evaluation phase and the second phase corresponds to a previous evaluation phase.
S104, analyzing the high-frequency components of the QRS complex in the current electrocardiographic data according to the target electrocardiographic detection to obtain the current overall risk assessment score.
The current overall risk assessment score is used for representing the overall risk of the heart in question, and if the current overall risk assessment score is higher, the overall risk representing the heart in question is higher, namely the overall risk representing the heart in question in the first stage is higher.
Specifically, high-frequency components of the QRS complex in the current electrocardiographic data are analyzed according to target electrocardiographic detection to obtain current reference characteristics, and the current overall risk assessment score is determined according to the current reference characteristics. Current electrocardiographic data includes a plurality of QRS complexes reflecting changes in left and right ventricular depolarization potentials and time, each QRS complex including a high frequency component and a low frequency component. And analyzing the high-frequency component of the QRS complex in the current electrocardiographic data corresponding to each target electrocardiographic detection to obtain the current reference characteristic corresponding to the target electrocardiographic detection. And comprehensively analyzing the obtained current reference characteristics to obtain the current overall risk assessment score.
In one embodiment, if the target electrocardiographic detection comprises a resting electrocardiographic detection, the current reference feature comprises a current resting reference feature determined from the current resting electrocardiographic signal to determine a current overall risk assessment score from the current resting reference feature. If the target electrocardiograph detection comprises resting electrocardiograph detection and load movement electrocardiograph detection, the current reference feature comprises a current resting reference feature, a current movement reference feature determined by a current movement electrocardiograph signal, a current fusion reference feature determined by the current resting electrocardiograph signal and the current movement electrocardiograph signal, a current overall risk assessment score determined according to the current resting reference feature and the current movement reference feature, and a current overall risk assessment score determined by combining the current fusion reference feature.
In one embodiment, the current reference features are input into corresponding preset risk assessment functions or pre-trained risk assessment models according to target electrocardiographic detection to obtain current overall risk assessment sub-scores, and the current overall risk assessment scores are determined according to the current overall risk assessment sub-scores.
And S106, analyzing the current resting electrocardiosignal to obtain an autonomic innervation evaluation score and a cardiac function evaluation score.
Wherein the autonomic innervation assessment score is used to characterize the magnitude of risk of an autonomic innervation abnormality, e.g., the higher the autonomic innervation assessment score, the greater the risk of an autonomic innervation abnormality. The heart function assessment score is related to the heart function grade, the higher the heart function assessment score, the higher the heart function grade, and the more the function of the characterized heart is reduced.
Specifically, high-frequency components of the QRS complex in the current resting electrocardiosignal are analyzed to obtain a current high-frequency QRS envelope curve, and the current high-frequency QRS envelope curve is analyzed to obtain an autonomic innervation evaluation score and a cardiac function evaluation score.
S108, acquiring a historical overall risk assessment score corresponding to the testee in the second stage; the historical overall risk assessment score is determined from historical electrocardiographic data corresponding to the target electrocardiographic detection.
Wherein the historical overall risk assessment score is used to characterize the overall risk magnitude of the problem at the second stage heart, e.g., the higher the historical overall risk assessment score, the greater the overall risk of the problem at the second stage heart.
Specifically, a historical overall risk assessment score of the subject is obtained, the historical overall risk assessment score being determined based on historical electrocardiographic data of the subject, the historical electrocardiographic data being electrocardiographic data collected during a second phase of a target electrocardiographic detection determined by a clinical indication of the subject in the second phase. The target electrocardiograph detection at least comprises resting electrocardiograph detection, and the historical electrocardiograph data at least comprises historical resting electrocardiograph signals acquired in the resting electrocardiograph detection process of the second stage. It will be appreciated that, with reference to the process flow of determining the current overall risk assessment score based on current electrocardiographic data in one or more embodiments of the present application, determining the historical overall risk assessment score based on historical electrocardiographic data is not described in detail herein.
S110, determining a rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score; the rehabilitation guidance reference index comprises an overall risk change index and a target risk assessment grade.
The overall risk change index is used for representing the change condition of overall risk of heart problems, so that doctors can accurately evaluate the heart rehabilitation effect of the testee by combining clinical symptoms before and after rehabilitation. For example, if the overall risk change index is a negative number, the overall risk representing a problem in the heart increases, and the greater the absolute value of the overall risk change index, the more the overall risk increases, the poorer the possibility of the heart recovery effect is represented, if the overall risk change index is a positive number, the greater the overall risk change index represents the overall risk decrease of the problem in the heart, the more the overall risk decrease is represented, the better the heart recovery effect is represented, and if the overall risk change index is 0, the overall risk representing the problem in the heart is leveled, and the possibility of the heart recovery inefficiency is represented. The target risk assessment level can also be understood as a cardiac risk assessment level, and is used for representing the risk of the problem occurring in the heart in the first stage, for example, the higher the target risk assessment level is, the larger the risk of the problem occurring in the heart in the first stage is, so that a doctor can accurately identify the heart rehabilitation condition of the tested person by combining the overall risk change index and clinical symptoms, and further rehabilitation guidance reference suggestions are given.
Specifically, overall risk change indicators are determined according to the current overall risk assessment score and the historical overall risk assessment score, and target risk assessment levels are determined according to the current overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score.
According to the electrocardio data analysis method, the current electrocardio data which are acquired for target electrocardio detection in the first stage and at least comprise current resting electrocardio signals are obtained, the high-frequency components of the QRS complex in the current electrocardio data are analyzed according to the target electrocardio detection, the current overall risk assessment score which characterizes the overall health condition of the heart of a testee in the first stage is obtained, the current resting electrocardio signals are analyzed to obtain the autonomic innervation assessment score which characterizes the autonomic innervation condition, the cardiac function assessment score which characterizes the cardiac function condition is obtained, the historical overall risk assessment score which is determined based on the historical electrocardio data which corresponds to the target electrocardio detection in the second stage and is used for characterizing the overall health condition of the heart of the testee in the second stage is obtained, and the current overall risk assessment score, the historical overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score are comprehensively considered, so that a rehabilitation guidance reference index which comprises an overall risk change index and a target risk assessment grade is obtained for a doctor to refer to accurately assess the heart condition of the testee in the first stage in a non-invasive manner, and a doctor is convenient to accurately assess the heart condition of the testee in the first stage, and a rehabilitation reference advice is further provided.
In one embodiment, S106 includes: analyzing high-frequency components of a QRS complex in the current resting electrocardiosignal to obtain a current high-frequency QRS envelope curve; determining an autonomic innervation evaluation index and a cardiac function evaluation index according to the current high-frequency QRS envelope curve; determining an autonomic nerve evaluation score according to the autonomic nerve evaluation index; a cardiac function assessment score is determined based on the cardiac function assessment index.
Specifically, alignment, averaging and high-frequency filtering are sequentially performed on each QRS complex in the current resting electrocardiosignal to obtain high-frequency QRS complex data (high-frequency band data of the QRS complex), or high-frequency filtering, alignment and averaging are sequentially performed on the QRS complex in the current resting electrocardiosignal to obtain high-frequency QRS complex data, or the high-frequency electrocardiosignal is extracted from the current resting electrocardiosignal through analysis, and then alignment and averaging are sequentially performed on the QRS complex in the high-frequency electrocardiosignal to obtain high-frequency QRS complex data, which is not particularly limited herein. The high-frequency QRS envelope curve can be formed based on the high-frequency QRS complex data, and therefore the high-frequency QRS envelope curve can be obtained by performing the data processing on the current resting electrocardiosignal. Analyzing each high-frequency QRS envelope curve to obtain an autonomic innervation evaluation index and a cardiac function evaluation index, obtaining an autonomic nerve evaluation score based on the autonomic innervation evaluation index, and obtaining a cardiac function evaluation score based on the cardiac function evaluation index.
In the above embodiment, the high frequency component of the QRS complex in the current resting electrocardiosignal is analyzed to obtain the autonomic innervation evaluation index and the cardiac function evaluation index, and the autonomic nerve evaluation score and the cardiac function evaluation score are respectively determined based on the autonomic innervation evaluation index and the cardiac function evaluation index, so that the current overall risk evaluation score is combined to accurately evaluate the target risk evaluation level for reference of doctors.
In one embodiment, the autonomic innervation assessment indicator comprises limb lead average voltage and chest lead average voltage; determining an autonomic nerve evaluation score from the autonomic nerve evaluation index, comprising: an autonomic innervation assessment score is determined from the ratio of the average limb lead voltage to the average chest lead voltage.
Wherein the resting leads include limb leads and chest leads. Specifically, the average voltage of the limb leads is determined according to the current high-frequency QRS envelope curve corresponding to each limb lead, and the average voltage of the chest leads is determined according to the current high-frequency QRS envelope curve corresponding to each chest lead. And inputting the ratio of the average voltage of the limb leads to the average voltage of the chest leads into a preset autonomic innervation evaluation function to obtain an autonomic innervation evaluation score.
In one embodiment, the expression of the preset autonomic innervation evaluation function is as follows:
wherein,representing an autonomic innervation assessment score, +.>The ratio of the average voltage of the limb leads to the average voltage of the chest leads is shown.
In one embodiment, ifCharacterization of autonomic nerve balance, if->Characterization of vagal innervation, if +.>Characterization of sympathetic innervation, if->Or->The autonomic dysfunction is characterized.
In one embodiment, the peak voltage of each limb lead is determined based on the current high-frequency QRS envelope curve corresponding to the limb lead, the peak voltage of each limb lead is averaged to obtain the average voltage of the limb lead, or the sum or average of the voltages on the current high-frequency QRS envelope curve corresponding to each limb lead is used to obtain the corresponding sum or average of the voltages, and the sum or average of the voltages of each limb lead is averaged to obtain the average voltage of the limb lead. It will be appreciated that the average chest lead voltage may be determined based on the current high frequency QRS envelope curve corresponding to each chest lead in a similar manner of processing and will not be described in detail herein.
In the above embodiment, the autonomic innervation abnormality is analyzed based on the ratio of the limb lead average voltage to the chest lead average voltage, so as to evaluate the target risk assessment level in combination with the autonomic innervation assessment score.
In one embodiment, the cardiac performance assessment indicator comprises a current high frequency morphology index with QRS time limit corresponding to each resting lead; determining a cardiac function assessment score from the cardiac function assessment index, comprising: determining coefficients according to the QRS time limit, and determining scores of corresponding resting leads according to the current high-frequency morphological index; a cardiac function assessment score is determined from the product of the sum of the scores and the coefficient.
Wherein the QRS time period is the duration from the start of the QRS complex to the end of the QRS complex, and the prolongation of the QRS time period is related to conduction block. Specifically, the current high-frequency morphological indexes of the QRS time limit and the corresponding rest leads are obtained by analyzing the current high-frequency QRS envelope curves corresponding to the rest leads. The current high-frequency morphological index of each resting lead is matched with each preset index interval to determine the score of the corresponding resting lead, the QRS time limit is matched with each preset time limit interval to determine the coefficient, the scores of the resting leads are summed, the sum of the scores of the resting leads is multiplied with the coefficient to obtain a total score, and the heart function evaluation score is determined according to the total score. Each preset index interval is associated with a score and each preset time limit interval is associated with a coefficient. It will be appreciated that the cardiac performance assessment score correlates with cardiac performance grading, the higher the cardiac performance assessment score, the higher the level of the corresponding cardiac performance grading, and the more the performance decline characterizing the heart.
For example, the preset index interval includes [10%,19.9% ], 20%,29.9% ], 30%,39.9% ], 40%,49.9% ] and 50%,100% ], the respective scores of the five intervals are 1,2,3,4 and 5, respectively, and if the current high frequency morphology index is at [10%,19.9% ], the score of the corresponding rest lead is 1, and so on. It will be appreciated that in this example, if the current high frequency morphology index is less than 10%, the score for the corresponding resting lead is 0. The preset time intervals include [0, 119], [120, 149], and greater than or equal to 150, wherein the units are ms (milliseconds), and the coefficients corresponding to the three preset time intervals are 1, 1.25 and 1.5 respectively.
In one embodiment, after obtaining a total score based on the QRS time limit and each current high frequency morphology index, taking the product of the total score and the first weight as the cardiac function evaluation score, or inputting the total score into a preset cardiac function evaluation function to obtain a corresponding cardiac function evaluation score. Wherein the first weight may be customizable, such as 0.25. The expression of the cardiac function assessment function is as follows:
wherein,representing cardiac function assessment score->Representing the total score based on QRS time limit and each current high frequency morphology index.
In one embodiment, the current high frequency QRS envelope curve of each resting lead is analyzed to obtain the total area of each amplitude reduced region on the current high frequency QRS envelope curve as a first total area, and the total area below the current high frequency QRS envelope curve as a second total area, and the ratio of the first total area to the second total area is taken as the current high frequency morphology index of the corresponding resting lead.
In one embodiment, the QRS time limit may be determined according to the current high frequency QRS envelope curve of any resting lead, the average of the QRS time limits corresponding to each resting lead may be used as the QRS time limit for determining the cardiac function assessment score, and the QRS time limit may be determined according to the low frequency component of the current resting electrocardiograph signal, which is not limited herein.
In the above embodiment, the cardiac function assessment score is determined based on the current high frequency morphology index of the QRS time period corresponding to each resting lead, so as to assess the target risk assessment level in combination with the cardiac function assessment score accuracy.
In one embodiment, the cardiac performance assessment indicator further comprises at least one of a current resting positive lead number and an arrhythmia assessment indicator; determining a cardiac function assessment score based on the product of the sum of the scores and the coefficient, comprising: determining a first cardiac function assessment sub-score according to the product of the sum of the scores and the coefficient; determining a heart function assessment sub-score based on at least one of the second heart function assessment sub-score and the third heart function assessment sub-score, and the first heart function assessment sub-score; the second cardiac function assessment sub-score is determined by the current resting positive lead number; the third cardiac function assessment sub-score is determined by an arrhythmia assessment indicator.
The number of the current resting positive leads refers to the number of resting leads with positive corresponding lead positive indexes, which can be used for evaluating myocardial ischemia risk in a resting state in the first stage, and the number of the current resting positive leads and the number of the resting leads are in positive correlation. The lead positive index indicates positive, and is used for representing that the current high-frequency morphological index of the corresponding resting lead is larger than or equal to a second index threshold value and the age of the testee is larger than or equal to a preset age, or is used for representing that the current high-frequency morphological index of the corresponding resting lead is larger than or equal to a third index threshold value and the age of the testee is smaller than the preset age. The second index threshold and the third index threshold may be customized, for example, the second index threshold is 8% and the third index threshold is 15%. The preset age may be custom, such as 50 years old. Arrhythmia assessment indicators are used to characterize the likelihood of whether an arrhythmia is present in a subject, and in particular to characterize whether an arrhythmia is present in a low frequency electrocardiogram.
Specifically, the sum of the resting lead scores and the product of the coefficients are taken as a total score, and a first cardiac function evaluation sub-score is determined from the total score. And determining lead positive indexes of corresponding resting leads according to each current high-frequency QRS envelope curve, screening and counting resting leads with positive lead positive indexes to obtain the current resting positive lead number, and determining a second cardiac function evaluation sub-score according to the current resting positive lead number. Analyzing the current resting electrocardiosignal to obtain a low-frequency electrocardiogram, analyzing the low-frequency electrocardiogram to obtain an arrhythmia assessment index, and determining a third cardiac function assessment sub-score according to the arrhythmia assessment index. In particular, the present invention may refer to the prior art, and is not described herein in detail, whether arrhythmia occurs in the corresponding low-frequency electrocardiogram is analyzed based on the current resting electrocardiograph signal. Further, a heart function assessment sub-score is determined from at least one of the second heart function assessment sub-score and the third heart function assessment sub-score, and the first heart function assessment sub-score. The total score, the number of current resting positive leads and the arrhythmia assessment index can be respectively input into corresponding heart function assessment sub-functions to obtain corresponding heart function assessment sub-scores.
In one embodiment, the cardiac performance assessment indicator further comprises a current resting threshold number of leads. The second cardiac function assessment sub-score is determined from the current resting positive number of leads and the current resting critical number of leads. The current resting critical lead number refers to the number of resting leads with the corresponding lead positive index indicated as critical, can be used for evaluating the critical risk of myocardial ischemia in the resting state in the first stage, and can more accurately identify the myocardial ischemia by combining the reference characteristic. The lead positive index is indicated as critical, and is used for representing that the current high-frequency morphological index of the corresponding resting lead is larger than the second index threshold value and smaller than the third index threshold value, and the age of the testee is smaller than the preset age.
In one embodiment, the expression of the cardiac function assessment function may also be expressed as follows:
wherein,representing cardiac function assessment score->Representing a first cardiac function assessment sub-score, < ->Representing a second cardiac function assessment sub-score, +.>Representing a third cardiac function assessment sub-score, each sub-score being derived based on the following expression:
wherein,representing the total score based on the QRS time limit and the respective current high frequency morphological index, ++>The number of current resting positive leads may be represented, or the sum of the number of current resting positive leads and the number of current resting critical leads may be represented.
In the above embodiment, on the basis of the current high-frequency morphological index corresponding to each resting lead in QRS time period, the cardiac function evaluation analysis is performed by combining at least one of the current resting positive lead number and arrhythmia evaluation index, so that a more accurate cardiac function evaluation score can be obtained for reference, and a doctor can more accurately identify the cardiac rehabilitation condition of the testee.
In one embodiment, if the target electrocardiographic detection comprises a resting electrocardiographic detection, the current electrocardiographic data further comprises an age of the subject; s104 includes: analyzing high-frequency components of a QRS complex in the current resting electrocardiosignal to obtain a current high-frequency QRS envelope curve; determining a current rest reference characteristic according to the current high-frequency QRS envelope curve and the age; the current resting reference feature comprises a current resting positive lead number, a current resting critical lead number, a first target lead number, a second target lead number, a current target frequency morphology index and a current target root mean square voltage; the first target number of leads refers to the number of resting leads for which the current high frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads for which the current root mean square voltage is less than or equal to the first voltage threshold; the current target frequency morphology index is the maximum value in the current high-frequency morphology index corresponding to each rest lead; the current target root-mean-square voltage is the minimum value of the current root-mean-square voltages corresponding to the rest leads; and determining the current overall risk assessment score according to the current rest reference characteristics.
Wherein the first exponential threshold may be customized, such as 20%, and the first voltage threshold may be specifically customized, such as 4uV (microvolts). Specifically, according to the analysis mode in one or more embodiments of the present application, a current high-frequency QRS envelope curve is obtained based on the analysis of the current resting electrocardiographic signal, and each current high-frequency QRS envelope curve is analyzed to obtain a current high-frequency morphology index of a corresponding resting lead. And respectively determining corresponding lead positive indexes according to the age of the testee and the current high-frequency morphological indexes corresponding to all the resting leads, screening and counting the resting leads with the corresponding lead positive indexes indicated as positive to obtain the current resting positive lead number, and screening and counting the resting leads with the corresponding lead positive indexes indicated as critical to obtain the current resting critical lead number. And screening and counting the rest leads with the current high-frequency morphology index being greater than or equal to the current high-first index threshold to obtain the first target lead number, and screening the maximum value from the current high-frequency morphology indexes corresponding to the rest leads as the current target frequency morphology index. Solving the root mean square of the current high-frequency QRS envelope curve corresponding to each resting lead to obtain the current root mean square voltage of the corresponding resting lead, screening and counting resting leads with the current root mean square voltage smaller than or equal to a first voltage threshold to obtain the number of second target leads, and screening the minimum value from the current root mean square voltages corresponding to the resting leads to serve as the current target root mean square voltage. Further, the current resting reference feature is input into a risk assessment function preconfigured for resting electrocardiograph detection, and a current overall risk assessment score is obtained.
In one embodiment, the expression of the risk assessment function pre-configured for resting electrocardiographic detection is as follows:
wherein,for the current overall risk assessment score,/->For the current resting critical number of leads, +.>For the current resting positive number of leads, +.>For the first target number of leads, +.>For the second target number of leads, +.>For an additional score determined based on the current target frequency morphology index +.>For additional scores determined based on the current target root mean square voltage, the following expressions are based, respectively:
wherein,for the current target frequency morphology index, +.>For the current target root mean square voltage, +.>Is microvolts.
In the above embodiment, if the clinical indication in the second stage indicates that the subject cannot perform the load exercise electrocardiographic detection, the current resting reference feature is determined according to the current resting electrocardiographic signal acquired in the resting electrocardiographic detection process in the first stage and the age of the subject, so as to accurately evaluate the current overall risk evaluation score of the subject in the first stage according to the current resting reference feature for reference by a doctor.
In one embodiment, if the target electrocardiographic detection comprises resting electrocardiographic detection and load motion electrocardiographic detection, the current electrocardiographic data further comprises an age of the subject and a current motion electrocardiographic signal; s104 includes: analyzing high-frequency components of a QRS complex in the current resting electrocardiosignal to obtain a current high-frequency QRS envelope curve; determining a current rest reference characteristic according to the current high-frequency QRS envelope curve and the age; the current resting reference feature comprises a current resting positive lead number, a current resting critical lead number, a first target lead number, a second target lead number, a current target frequency morphology index and a current target root mean square voltage; the first target number of leads refers to the number of resting leads for which the current high frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads for which the current root mean square voltage is less than or equal to the first voltage threshold; the current target frequency morphology index is the maximum value in the current high-frequency morphology index corresponding to each rest lead; the current target root-mean-square voltage is the minimum value of the current root-mean-square voltages corresponding to the rest leads; analyzing the high-frequency component of the QRS complex in the current motion electrocardiosignal to obtain a current high-frequency QRS waveform curve; determining a current maximum heart rate of the testee according to the current exercise electrocardiosignal; determining current movement reference characteristics according to the current high-frequency QRS waveform curve, the age and the current maximum heart rate; the current motion reference characteristics comprise the number of current motion positive leads, the number of current motion critical leads, the number of third target leads, the number of fourth target leads and the number of fifth target leads, and a first amplitude reduction relative value and a second amplitude reduction relative value corresponding to each motion lead; the third target number of leads refers to the number of moving leads having a corresponding first amplitude decrease relative value greater than or equal to the first relative value threshold; the fourth target lead number refers to the number of motion leads with descending and ascending repeated fluctuation trend in the first time period corresponding to the current high-frequency QRS waveform curve; the fifth target number of leads refers to the number of moving leads having a corresponding second amplitude reduction relative value greater than or equal to the second relative value threshold; and determining a current overall risk assessment score according to the current rest reference characteristic and the current motion reference characteristic.
The current exercise electrocardiosignals are electrocardiosignals acquired in the process of load exercise electrocardiosignal detection in the first stage. The load movement electrocardiograph detection process comprises a plurality of stages, and particularly can sequentially comprise a resting stage, a movement stage, a recovery stage and the like, the current movement electrocardiograph signal comprises electrocardiograph signals of all stages, the stage division is not limited to the electrocardiograph signals, and the stage division can be particularly carried out according to actual conditions. The current maximum heart rate refers to the maximum value of the heart rate of the subject during the whole load exercise electrocardiographic detection of the first phase. The number of current motion positive leads refers to the number of motion leads indicated as positive by the corresponding lead positive index, and can be used for evaluating the myocardial ischemia risk under the load motion state in the first stage, and the current motion positive leads and the motion leads are in positive correlation. The current motion critical lead number refers to the number of motion leads with the corresponding lead positive index indicated as critical, can be used for evaluating the critical risk of myocardial ischemia in the first stage in the load motion state, and can be used for more accurately evaluating the myocardial ischemia in the first stage in the load motion state by combining the reference characteristic.
The lead positive indicator indicates positive, is used for representing that the first amplitude decrease relative value of the corresponding motion lead is larger than a third relative value threshold, the first amplitude decrease absolute value is larger than a preset absolute value threshold, the age of the tested person is smaller than a preset age, and the current maximum heart rate of the tested person is larger than 80% of the target heart rate, is used for representing that the first amplitude decrease relative value of the corresponding motion lead is larger than a fourth relative value threshold, the first amplitude decrease absolute value is larger than a preset absolute value threshold, the age of the tested person is smaller than a preset age, and the current maximum heart rate of the tested person is smaller than or equal to 80% of the target heart rate, is used for representing that the first amplitude decrease relative value of the corresponding motion lead is larger than a fifth relative value, the first amplitude decrease absolute value is larger than a preset absolute value, and the current maximum heart rate of the tested person is larger than or equal to 80% of the target heart rate, or equal to the preset absolute value is larger than the fourth relative value threshold, the first amplitude decrease absolute value is larger than a preset absolute value, and the current maximum heart rate of the tested person is larger than or equal to 80% of the target heart rate. The first relative value threshold, the second relative value threshold, the third relative value threshold, the fourth relative value threshold, the fifth relative value threshold, the preset absolute value threshold and the preset age are customized according to actual conditions, such as 55%, 40%, 60%, 50%, 40%, 1uV (microvolts) and 50 years old. The target heart rate is determined according to the age of the subject, as target heart rate= (220-subject age) ×85%.
The lead positive indicator is indicated as critical, is used for representing that the relative value of the first amplitude drop of the corresponding motion lead is greater than 90% of the third relative value threshold and less than or equal to the third relative value threshold, the absolute value of the first amplitude drop is greater than the preset absolute value threshold, the age of the subject is less than the preset age, and the current maximum heart rate of the subject is greater than 80% of the target heart rate, or is used for representing that the relative value of the first amplitude drop of the corresponding motion lead is greater than 90% of the fourth relative value threshold and less than or equal to the fourth relative value threshold, the absolute value of the first amplitude drop is greater than the preset absolute value threshold, the age of the subject is less than or equal to the preset age, and the current maximum heart rate of the subject is less than or equal to 80% of the target heart rate, or is used for representing that the relative value of the first amplitude drop of the corresponding motion lead is greater than 90% of the fourth relative value threshold, the absolute value of the first amplitude drop of the corresponding motion lead is greater than or equal to the fourth relative value threshold, the absolute value of the first amplitude drop of the first amplitude of the subject is greater than or equal to the preset absolute value, the age of the first amplitude drop of the subject is greater than or equal to the fourth relative value is greater than 80% of the target heart rate, or equal to the first amplitude drop of the first amplitude is greater than or equal to the first relative value is greater than or equal to the maximum heart rate, the first amplitude of the first amplitude drop of the first amplitude is greater than or equal to the first relative value is greater than or equal to the first relative value threshold.
The second amplitude dip relative value is used to characterize the dip or steepness of the high frequency QRS waveform curve over a second period of time, and if the second amplitude dip relative value exceeds the second relative value threshold value, indicating that the dip or steepness is sufficiently large, then the likelihood of coronary stenosis is characterized. The first amplitude-decreasing relative value may be understood as the amplitude-decreasing relative value of the high-frequency QRS waveform curve over a first period of time, and the second amplitude-decreasing relative value may be understood as the amplitude-decreasing relative value of the high-frequency QRS waveform curve over a second period of time. The first time period comprises a pre-exercise time period, an exercise middle and a post-exercise time period, wherein the pre-exercise time period is positioned in a resting stage, the exercise middle comprises a whole exercise stage, the post-exercise time period is positioned in a recovery stage, and the pre-exercise time period, the exercise middle and the post-exercise time period are continuous time periods. The second period of time includes a period of time before the exercise and a period of time during the exercise, or the second period of time includes a period of time during the exercise, where the period of time before the exercise and the period of time during the exercise are continuous periods of time, and the period of time during the exercise can be customized according to practical situations, such as the first 3 minutes during the exercise. The first time period may specifically include a second time period, that is, a subinterval in which the second time period is the first time period.
Specifically, according to the current resting reference feature determining manner disclosed in one or more embodiments of the present application, the current resting reference feature is determined according to the current resting electrocardiographic signal and the age of the subject, which is not described herein. The current exercise electrocardiosignal comprises a QRS complex corresponding to each heartbeat in the whole load exercise electrocardio detection process of the testee in the first stage. Dividing the current motion electrocardiosignal into a plurality of electrocardiosignal subsets according to the time sequence and the preset moving step length through a window function, wherein each electrocardiosignal subset comprises a QRS complex corresponding to a plurality of heartbeats. For each electrocardiosignal subset, aligning, averaging and high-frequency filtering are sequentially carried out on QRS complexes corresponding to a plurality of heartbeats included in each electrocardiosignal subset to obtain corresponding high-frequency QRS complex data (high-frequency band data of the QRS complexes), and the high-frequency QRS complex data is subjected to root mean square to obtain corresponding root mean square voltage which is used as root mean square voltage/intensity/amplitude corresponding to the electrocardiosignal subset. And carrying out curve smoothing processing on root mean square voltage/intensity/amplitude corresponding to each electrocardiosignal subset according to time sequence to obtain a current high-frequency QRS waveform curve corresponding to the current motion electrocardiosignal, so that the current high-frequency QRS waveform curve can be understood as a high-frequency QRS time-intensity curve. The window length and the preset moving step length of the window function can be customized according to actual requirements, for example, the window length is set to 10 seconds, the preset moving step length is set to 10 seconds or one heartbeat period, and one heartbeat period refers to a time interval between two adjacent heartbeats, which is not particularly limited herein. The time sequence is the sequence of the detection time advanced in the electrocardiograph detection process according to the acquisition time/load motion of the signals. According to the mode of extracting heart rate sequences from electrocardiosignals disclosed in the prior art, extracting heart rate sequences of a tested person from current exercise electrocardiosignals, and screening the maximum value from the heart rate sequences as the current maximum heart rate of the tested person.
Further, a point with the largest root mean square voltage is selected from the current high-frequency QRS waveform curve in the first time period to serve as a first reference point, a point with the smallest root mean square voltage and later than the first reference point is selected from the current high-frequency QRS waveform curve in the first time period to serve as a second reference point, the root mean square voltage of the first reference point and the root mean square voltage of the second reference point are subjected to difference to obtain a first amplitude reduction absolute value, and the ratio of the first amplitude reduction absolute value to the root mean square voltage of the first reference point is determined to be a first amplitude reduction relative value. Screening and counting the motion leads with the corresponding first amplitude reduction relative values greater than or equal to the first relative value threshold value to obtain a third target lead number. And determining a lead positive index of the corresponding current high-frequency QRS waveform curve according to the first amplitude reduction relative value, the first amplitude reduction absolute value, the age and the maximum heart rate of the testee, and taking the lead positive index as a lead positive index corresponding to the corresponding motion lead. Screening and counting the motion leads with positive indexes indicated as positive by the corresponding leads to obtain the number of the current motion positive leads, and screening and counting the motion leads with critical indexes indicated as the positive indexes of the corresponding leads to obtain the number of the current motion critical leads. And analyzing the change trend of the current high-frequency QRS waveform curve corresponding to each motion lead in the first time period to screen and count the motion leads of which the corresponding current high-frequency QRS waveform curve has the descending and ascending repeated fluctuation trend in the first time period, so as to obtain the fourth target lead number.
And selecting a point with the minimum root mean square voltage from the current high-frequency QRS waveform curve in the second time period as a third reference point, selecting a point with the maximum root mean square voltage from the current high-frequency QRS waveform curve in the second time period, which is earlier than the third reference point in time, as a fourth reference point, obtaining a second amplitude reduction absolute value in the second time period by means of difference between the root mean square voltage of the fourth reference point and the root mean square voltage of the third reference point, and taking the ratio of the second amplitude reduction absolute value and the root mean square voltage of the fourth reference point as a second amplitude reduction relative value. Screening and counting the motion leads with the corresponding second amplitude reduction relative values greater than or equal to the second relative value threshold value to obtain a fifth target lead number.
Further, the current resting reference feature is input into a risk assessment function or a risk assessment model which is preconfigured for resting electrocardiographic detection, and a first current overall risk assessment sub-score is obtained. Inputting the current motion reference characteristics into a risk assessment function or a risk assessment model which is preconfigured for load motion electrocardiograph detection, obtaining a second current overall risk assessment sub-score, and determining the maximum value of the first current overall risk assessment sub-score and the second current overall risk assessment sub-score as the current overall risk assessment score.
In one embodiment, the current high-frequency QRS waveform curve shows a decreasing and increasing repetitive fluctuation trend in the first period of time, which means that the total number of times that the current high-frequency QRS waveform curve shows a decreasing trend in the first period of time is greater than or equal to two times, and the increasing trend and the decreasing trend alternately appear. For example, the current high frequency QRS waveform profile is a "W" or "inverted N" waveform for a first period of time.
In one embodiment, the expression of the risk assessment function pre-configured for resting electrocardiographic detection is as follows:
wherein,for the first current overall risk assessment sub-score, the physical meaning of each variable (current resting reference feature) in the above expression is consistent with the physical meaning of the variable in the corresponding embodiment, and will not be described herein.
In one embodiment, the expression of the risk assessment function preconfigured for load motion electrocardiography detection is as follows:
wherein,evaluating a sub-score for a second current overall risk, < ->For the current motion critical number of leads, +.>For the current number of motion positive leads, +.>For the third target number of leads, +.>For the fourth target number of leads, +.>For the fifth target number of leads, +.>For an additional fraction determined on the basis of the corresponding first amplitude decrease relative value of the respective motion lead,/- >For the additional score determined based on the corresponding second amplitude reduction relative value for each motion lead, the following expressions are based, respectively:
in one embodiment, the expression for determining the current overall risk assessment score based on the current electrocardiographic data is as follows:
wherein,for the current overall risk assessment score,/->Evaluating a sub-score for a first current overall risk, < ->The sub-score is evaluated for the second current overall risk.
In the above embodiment, if the clinical indication in the second stage indicates that the subject can perform the load exercise electrocardiographic detection, the current resting reference feature is determined according to the current resting electrocardiographic signal collected during the resting electrocardiographic detection in the first stage and the age of the subject, and the current exercise reference feature is determined according to the exercise electrocardiographic signal collected during the load exercise electrocardiographic detection in the first stage and the age of the subject, so that the current overall risk assessment score of the subject in the first stage is accurately assessed according to the current resting reference feature and the current exercise reference feature, for reference by the doctor.
In one embodiment, determining the current overall risk assessment score from the current resting reference feature and the current motion reference feature comprises: determining a current overall risk assessment score according to the current rest reference feature, the current motion reference feature and the current fusion reference feature; the current fusion reference characteristic comprises the current resting positive lead number, the current resting critical lead number, the first target lead number, the current target frequency morphology index, the current movement positive lead number and the current movement critical lead number, and a second amplitude reduction relative value corresponding to each movement lead.
Specifically, the current fusion reference characteristic is determined according to the current resting electrocardiosignal and the current moving electrocardiosignal. And inputting the current resting reference characteristics into a risk assessment function or a risk assessment model which is preconfigured for resting electrocardiograph detection, and obtaining a first current overall risk assessment sub-score. And inputting the current motion reference characteristic into a risk assessment function or a risk assessment model which is preconfigured for the load motion electrocardiograph detection, and obtaining a second current overall risk assessment sub-score. And inputting the current fusion reference characteristics into a risk assessment function or a risk assessment model configured by combining the resting electrocardiograph detection and the load movement electrocardiograph detection to obtain a third current overall risk assessment sub-score. And determining the maximum value among the first current overall risk assessment sub-score, the second current overall risk assessment sub-score and the third current overall risk assessment sub-score as the current overall risk assessment score.
In one embodiment, the expression of the risk assessment function configured for the combination of resting electrocardiographic detection and load movement electrocardiographic detection is as follows:
wherein,evaluating a sub-score for a third current overall risk, < ->For the current resting critical number of leads, +. >For the current resting positive number of leads, +.>For the first target number of leads, +.>For an additional score determined based on the current target frequency morphology index +.>For the current motion critical number of leads, +.>For the current number of motion positive leads, +.>An additional score determined for a relative value of the second amplitude decrease based on the corresponding second amplitude decrease for each motion lead.
In one embodiment, an expression for determining a current overall risk assessment score based on current electrocardiographic data may also be expressed as follows:
wherein,for the current overall risk assessment score,/->Evaluating a sub-score for a first current overall risk, < ->Evaluating a sub-score for a second current overall risk, < ->And evaluating the sub-score for a third current overall risk.
In the above embodiment, on the basis of the current resting reference feature and the current movement reference feature, the current fusion reference feature determined by combining the current resting electrocardiosignal and the current movement electrocardiosignal is further combined, so that the current overall risk assessment score is more accurately assessed, and further, a more accurate rehabilitation guidance reference index is obtained for a doctor to refer to, so that the doctor can more accurately identify the heart rehabilitation condition of the testee in the first stage by combining clinical symptoms, and further rehabilitation guidance reference suggestions are provided.
In one embodiment, S110 includes: determining an overall risk change index according to the current overall risk assessment score and the historical overall risk assessment score; and determining a target risk assessment grade according to the current overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score.
Specifically, a score difference value obtained by subtracting the current overall risk assessment score from the historical overall risk assessment score is used as an overall risk change index, or the historical overall risk assessment score and the current overall risk assessment score are respectively compared with each preset score interval to obtain a historical overall risk assessment grade and a current overall risk assessment grade, the historical overall risk assessment grade is subtracted from the current overall risk assessment grade to obtain a grade difference value, and the product of the grade difference value and the second weight is determined to be the overall risk change index. And summing the product of the current overall risk assessment score and the third weight, the autonomic innervation assessment score and the cardiac function assessment score to obtain a target risk assessment score, and comparing the target risk assessment score with each preset score interval to obtain a target risk assessment grade. The second weight and the third weight may be customized, for example, the second weight is 10, and the third weight is 0.5.
For example, taking the example that the overall risk assessment level (including the historical overall risk assessment level and the current overall risk assessment level) and the target risk assessment level each include six levels from the first level to the sixth level that rise in turn, a corresponding preset score interval is preset for each level, where the six preset score intervals are respectively equal to or greater than 71, [0,10], [11,30], [31,50], [51,60], [61,70], and the six preset score intervals respectively correspond to the overall risk assessment level or the target risk assessment level, if the historical overall risk assessment score is 80 and the current overall risk assessment score is 46, the overall risk change index may be determined to be 34, or the historical overall risk assessment level may be determined to be the sixth level, the current overall risk assessment level may be determined to be the third level, and the overall risk change index may be determined to be 3×10=30. If the autonomic innervation evaluation score is 30 and the cardiac function evaluation score is 10, the target risk evaluation score is 46×0.5+30+10=63, and the target risk evaluation level is determined as the fifth level. It is understood that the number of levels classified for the overall risk assessment level and the target risk assessment level may be different from the preset score interval that is preset.
In the above embodiment, the overall risk change index representing the overall risk change condition is obtained based on the current overall risk assessment score of the first stage and the historical overall risk assessment score of the second stage, and the target risk assessment grade representing the risk of the subject suffering from the heart in the first stage is obtained based on the current overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score obtained from the current electrocardiographic data of the first stage, so as to be referred by a doctor, so that the doctor can accurately identify the heart rehabilitation condition of the subject in the first stage in combination with clinical symptoms, and further rehabilitation guidance reference advice is given.
As shown in fig. 2, in one embodiment, there is provided an electrocardiographic data analysis method, which specifically includes the steps of:
s202, acquiring current electrocardiographic data acquired corresponding to target electrocardiographic detection in a first stage; the current electrocardiographic data includes at least a current resting electrocardiographic signal.
S204, analyzing the high-frequency components of the QRS complex in the current electrocardiographic data according to the target electrocardiographic detection to obtain the current overall risk assessment score.
S206, analyzing the high-frequency component of the QRS complex in the current resting electrocardiosignal to obtain a current high-frequency QRS envelope curve.
S208, determining an autonomic innervation evaluation index and a cardiac function evaluation index according to the current high-frequency QRS envelope curve; the autonomic innervation evaluation index comprises limb lead average voltage and chest lead average voltage; the cardiac function assessment index includes a current high frequency morphology index of QRS time limit corresponding to each resting lead, and further includes at least one of a current resting positive lead number and an arrhythmia assessment index.
S210, determining an autonomic innervation assessment score according to the ratio of the average voltage of the limb leads to the average voltage of the chest leads.
S212, determining coefficients according to the QRS time limit, and determining scores of corresponding rest leads according to the current high-frequency morphological index.
S214, determining a first heart function evaluation sub-score according to the product of the sum value of the scores and the coefficient.
S216, determining a heart function evaluation sub-score according to at least one of the second heart function evaluation sub-score and the third heart function evaluation sub-score and the first heart function evaluation sub-score; the second cardiac function assessment sub-score is determined by the current resting positive lead number; the third cardiac function assessment sub-score is determined by an arrhythmia assessment indicator.
S218, acquiring a historical overall risk assessment score corresponding to the testee in the second stage; the historical overall risk assessment score is determined from historical electrocardiographic data corresponding to the target electrocardiographic detection.
S220, determining an overall risk change index according to the current overall risk assessment score and the historical overall risk assessment score.
S222, determining a target risk assessment level according to the current overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score; the rehabilitation guidance reference index comprises an overall risk change index and a target risk assessment grade.
In the above embodiment, the current overall risk assessment score is obtained by acquiring and analyzing the current electrocardiographic data corresponding to the target electrocardiographic detection in the first stage, the historical overall risk assessment score determined by the historical electrocardiographic data corresponding to the target electrocardiographic detection in the second stage is obtained, the overall risk variation index representing the overall risk variation condition is obtained by comparing and analyzing the overall risk assessment scores of the two stages, and the target risk assessment grade representing the risk of the subject suffering from the heart problem in the first stage is obtained based on the current overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score obtained from the electrocardiographic data in the first stage, so as to be referred by a doctor, so that the doctor can accurately identify the heart rehabilitation condition of the subject in the first stage by combining the clinical symptoms, thereby giving further reference advice of rehabilitation guidance.
In one embodiment, after the historical electrocardiographic data acquired in the second phase corresponding to the target electrocardiographic detection is acquired, the high frequency component of the QRS complex in the historical electrocardiographic data is analyzed according to the target electrocardiographic detection to obtain a historical overall risk assessment score. If the target electrocardiographic detection comprises resting electrocardiographic detection, the historical electrocardiographic data further comprises the age of the testee; analyzing high-frequency components of the QRS complex in the historical electrocardiographic data according to the target electrocardiographic detection to obtain a historical overall risk assessment score, wherein the method comprises the following steps: analyzing high-frequency components of the QRS complex in the historical resting electrocardiosignal to obtain a historical high-frequency QRS envelope curve; determining historical rest reference characteristics according to the historical high-frequency QRS envelope curve and the age; the historical resting reference features comprise a number of historical resting positive leads, a number of historical resting critical leads, a number of sixth target leads, a number of seventh target leads, a historical target frequency morphology index, and a historical target root mean square voltage; the sixth target number of leads is the number of resting leads having a historical high frequency morphology index greater than or equal to the first index threshold; the seventh target number of leads refers to the number of resting leads having a historical root mean square voltage less than or equal to the first voltage threshold; the historical target frequency morphology index is the maximum value in the historical high frequency morphology index corresponding to each rest lead; the historical target root mean square voltage is the minimum value in the historical root mean square voltages corresponding to the rest leads; and determining a historical overall risk assessment score according to the historical rest reference characteristics.
In one embodiment, if the target electrocardiographic detection comprises resting electrocardiographic detection and load motion electrocardiographic detection, the historical electrocardiographic data further comprises age of the subject and historical motion electrocardiographic signals; analyzing high-frequency components of the QRS complex in the historical electrocardiographic data according to the target electrocardiographic detection to obtain a historical overall risk assessment score, wherein the method comprises the following steps: analyzing high-frequency components of the QRS complex in the historical resting electrocardiosignal to obtain a historical high-frequency QRS envelope curve; determining historical rest reference characteristics according to the historical high-frequency QRS envelope curve and the age; the historical resting reference features comprise a number of historical resting positive leads, a number of historical resting critical leads, a number of sixth target leads, a number of seventh target leads, a historical target frequency morphology index, and a historical target root mean square voltage; the sixth target number of leads is the number of resting leads having a historical high frequency morphology index greater than or equal to the first index threshold; the seventh target number of leads refers to the number of resting leads having a historical root mean square voltage less than or equal to the first voltage threshold; the historical target frequency morphology index is the maximum value in the historical high frequency morphology index corresponding to each rest lead; the historical target root mean square voltage is the minimum value in the historical root mean square voltages corresponding to the rest leads; analyzing the high-frequency components of the QRS complex in the historical motion electrocardiosignal to obtain a historical high-frequency QRS waveform curve; determining a historical maximum heart rate of the subject according to the historical exercise electrocardiosignal; determining historical movement reference characteristics according to the historical high-frequency QRS waveform curve, the age and the historical maximum heart rate; the historical motion reference characteristics comprise the number of historical motion positive leads, the number of historical motion critical leads, the number of eighth target leads, the number of ninth target leads, the number of tenth target leads, and a first amplitude reduction relative value and a second amplitude reduction relative value corresponding to each motion lead; the eighth target number of leads refers to the number of moving leads having a corresponding first amplitude decrease relative value greater than or equal to the first relative value threshold; the ninth target lead number refers to the number of motion leads with the corresponding historical high-frequency QRS waveform curve in a descending and ascending repeated fluctuation trend in the first time period; the tenth target number of leads refers to the number of moving leads having a corresponding second amplitude reduction relative value greater than or equal to the second relative value threshold; and determining a historical overall risk assessment score according to the historical rest reference features and the historical motion reference features.
In one embodiment, determining a historical overall risk assessment score from the historical resting reference feature and the historical movement reference feature comprises: determining a historical overall risk assessment score according to the historical rest reference features, the historical motion reference features and the historical fusion reference features; the historical fusion reference characteristic comprises the number of historical resting positive leads, the number of historical resting critical leads, the number of sixth target leads, the historical target frequency morphology index, the number of historical motion positive leads and the number of historical motion critical leads, and a second amplitude reduction relative value corresponding to each motion lead.
It should be understood that, although the steps in the flowcharts of fig. 1 and 2 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in fig. 1 and 2 may include a plurality of steps or stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the execution of the steps or stages is not necessarily sequential, but may be performed in turn or alternately with at least a portion of the steps or stages in other steps or other steps.
In one embodiment, as shown in fig. 3, there is provided an electrocardiographic data analysis device 300, comprising: an acquisition module 301, an analysis module 302 and an evaluation module 303, wherein:
an acquiring module 301, configured to acquire current electrocardiographic data acquired corresponding to target electrocardiographic detection in a first stage; the current electrocardiographic data at least comprises a current resting electrocardiographic signal;
the analysis module 302 is configured to analyze the high-frequency component of the QRS complex in the current electrocardiograph data according to the target electrocardiograph detection to obtain a current overall risk assessment score;
the analysis module 302 is further configured to analyze the current resting electrocardiographic signal to obtain an autonomic innervation evaluation score and a cardiac function evaluation score;
the obtaining module 301 is further configured to obtain a historical overall risk assessment score corresponding to the subject in the second stage; the historical overall risk assessment score is determined by historical electrocardiographic data corresponding to target electrocardiographic detection;
an evaluation module 303, configured to determine a rehabilitation guidance reference index according to the current overall risk evaluation score, the historical overall risk evaluation score, the autonomic innervation evaluation score, and the cardiac function evaluation score; the rehabilitation guidance reference index comprises an overall risk change index and a target risk assessment grade.
In one embodiment, the analysis module 302 is further configured to analyze a high frequency component of the QRS complex in the current resting electrocardiograph signal to obtain a current high frequency QRS envelope curve; determining an autonomic innervation evaluation index and a cardiac function evaluation index according to the current high-frequency QRS envelope curve; determining an autonomic nerve evaluation score according to the autonomic nerve evaluation index; a cardiac function assessment score is determined based on the cardiac function assessment index.
In one embodiment, the autonomic innervation assessment indicator comprises limb lead average voltage and chest lead average voltage; the analysis module 302 is further configured to determine an autonomic innervation assessment score based on a ratio of the average limb lead voltage to the average chest lead voltage.
In one embodiment, the cardiac performance assessment indicator comprises a current high frequency morphology index with QRS time limit corresponding to each resting lead; the analysis module 302 is further configured to determine a coefficient according to the QRS time limit, and determine a score of the corresponding rest lead according to the current high-frequency morphology index; a cardiac function assessment score is determined from the product of the sum of the scores and the coefficient.
In one embodiment, the cardiac performance assessment indicator further comprises at least one of a current resting positive lead number and an arrhythmia assessment indicator; the analysis module 302 is further configured to determine a first cardiac function assessment sub-score according to a product of the sum of the scores and the coefficient; determining a heart function assessment sub-score based on at least one of the second heart function assessment sub-score and the third heart function assessment sub-score, and the first heart function assessment sub-score; the second cardiac function assessment sub-score is determined by the current resting positive lead number; the third cardiac function assessment sub-score is determined by an arrhythmia assessment indicator.
In one embodiment, if the target electrocardiographic detection comprises a resting electrocardiographic detection, the current electrocardiographic data further comprises an age of the subject; the analysis module 302 is further configured to analyze a high-frequency component of the QRS complex in the current resting electrocardiograph signal to obtain a current high-frequency QRS envelope curve; determining a current rest reference characteristic according to the current high-frequency QRS envelope curve and the age; the current resting reference feature comprises a current resting positive lead number, a current resting critical lead number, a first target lead number, a second target lead number, a current target frequency morphology index and a current target root mean square voltage; the first target number of leads refers to the number of resting leads for which the current high frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads for which the current root mean square voltage is less than or equal to the first voltage threshold; the current target frequency morphology index is the maximum value in the current high-frequency morphology index corresponding to each rest lead; the current target root-mean-square voltage is the minimum value of the current root-mean-square voltages corresponding to the rest leads; and determining the current overall risk assessment score according to the current rest reference characteristics.
In one embodiment, if the target electrocardiographic detection comprises resting electrocardiographic detection and load motion electrocardiographic detection, the current electrocardiographic data further comprises an age of the subject and a current motion electrocardiographic signal; the analysis module 302 is further configured to analyze a high-frequency component of the QRS complex in the current resting electrocardiograph signal to obtain a current high-frequency QRS envelope curve; determining a current rest reference characteristic according to the current high-frequency QRS envelope curve and the age; the current resting reference feature comprises a current resting positive lead number, a current resting critical lead number, a first target lead number, a second target lead number, a current target frequency morphology index and a current target root mean square voltage; the first target number of leads refers to the number of resting leads for which the current high frequency morphology index is greater than or equal to the first index threshold; the second target number of leads refers to the number of resting leads for which the current root mean square voltage is less than or equal to the first voltage threshold; the current target frequency morphology index is the maximum value in the current high-frequency morphology index corresponding to each rest lead; the current target root-mean-square voltage is the minimum value of the current root-mean-square voltages corresponding to the rest leads; analyzing the high-frequency component of the QRS complex in the current motion electrocardiosignal to obtain a current high-frequency QRS waveform curve; determining a current maximum heart rate of the testee according to the current exercise electrocardiosignal; determining current movement reference characteristics according to the current high-frequency QRS waveform curve, the age and the current maximum heart rate; the current motion reference characteristics comprise the number of current motion positive leads, the number of current motion critical leads, the number of third target leads, the number of fourth target leads and the number of fifth target leads, and a first amplitude reduction relative value and a second amplitude reduction relative value corresponding to each motion lead; the third target number of leads refers to the number of moving leads having a corresponding first amplitude decrease relative value greater than or equal to the first relative value threshold; the fourth target lead number refers to the number of motion leads with descending and ascending repeated fluctuation trend in the first time period corresponding to the current high-frequency QRS waveform curve; the fifth target number of leads refers to the number of moving leads having a corresponding second amplitude reduction relative value greater than or equal to the second relative value threshold; and determining a current overall risk assessment score according to the current rest reference characteristic and the current motion reference characteristic.
In one embodiment, the analysis module 302 is further configured to determine a current overall risk assessment score according to the current resting reference feature, the current motion reference feature, and the current fusion reference feature; the current fusion reference characteristic comprises the current resting positive lead number, the current resting critical lead number, the first target lead number, the current target frequency morphology index, the current movement positive lead number and the current movement critical lead number, and a second amplitude reduction relative value corresponding to each movement lead.
In one embodiment, the evaluation module 303 is further configured to determine an overall risk variation indicator according to the current overall risk evaluation score and the historical overall risk evaluation score; and determining a target risk assessment grade according to the current overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score.
For specific limitations of the electrocardiographic data analysis device, reference may be made to the above limitation of the electrocardiographic data analysis method, and no further description is given here. The above-mentioned individual modules in the electrocardiographic data analysis device may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing current electrocardio data in the first stage, historical overall risk assessment scores in the second stage and historical electrocardio data in the second stage. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of electrocardiographic data analysis.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (10)
1. A method of electrocardiographic data analysis, the method comprising:
acquiring current electrocardiographic data acquired in a first stage corresponding to target electrocardiographic detection; the current electrocardio data at least comprises a current resting electrocardio signal;
analyzing high-frequency components of a QRS complex in the current electrocardiograph data according to the target electrocardiograph detection to obtain a current overall risk assessment score;
Analyzing the current resting electrocardiosignal to obtain an autonomic innervation evaluation score and a cardiac function evaluation score;
acquiring a historical overall risk assessment score corresponding to the testee in the second stage; the historical overall risk assessment score is determined by historical electrocardiographic data corresponding to the target electrocardiographic detection;
determining a rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score; the rehabilitation guidance reference index comprises an overall risk change index and a target risk assessment grade;
analyzing the current resting electrocardiosignal to obtain an autonomic innervation assessment score, comprising:
analyzing the high-frequency component of the QRS complex in the current resting electrocardiosignal to obtain a current high-frequency QRS envelope curve;
determining an autonomic innervation assessment index according to the current high-frequency QRS envelope curve; the autonomic innervation evaluation index comprises limb lead average voltage and chest lead average voltage;
determining an autonomic innervation assessment score from a ratio of the limb lead average voltage to the chest lead average voltage;
The determining a rehabilitation guidance reference index according to the current overall risk assessment score, the historical overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score comprises:
determining an overall risk change index according to the current overall risk assessment score and the historical overall risk assessment score;
and determining a target risk assessment grade according to the current overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score.
2. The method of claim 1, wherein analyzing the current resting cardiac signal to obtain a cardiac function assessment score comprises:
determining a heart function evaluation index according to the current high-frequency QRS envelope curve;
and determining a heart function evaluation score according to the heart function evaluation index.
3. The method of claim 2, wherein the cardiac performance assessment indicator comprises a current high frequency morphology index with QRS time limit corresponding to each resting lead; the determining the cardiac function assessment score according to the cardiac function assessment index comprises the following steps:
determining coefficients according to the QRS time limit, and determining scores of corresponding resting leads according to the current high-frequency morphological index;
And determining a centering function evaluation score according to the product of the sum value of the scores and the coefficient.
4. The method of claim 3, wherein the cardiac performance assessment indicator further comprises at least one of a current resting positive lead number and an arrhythmia assessment indicator; said determining a cardiac function assessment score based on the product of the sum of said scores and said coefficients, comprising:
determining a first cardiac function assessment sub-score based on a product of a sum of the scores and the coefficient;
determining a heart function assessment sub-score from at least one of a second heart function assessment sub-score and a third heart function assessment sub-score, and the first heart function assessment sub-score; the second cardiac function assessment sub-score is determined by the current resting positive lead number; the third cardiac function assessment sub-score is determined by the arrhythmia assessment index.
5. The method of claim 1, wherein if the target electrocardiographic detection comprises a resting electrocardiographic detection, the current electrocardiographic data further comprises an age of the subject; analyzing the high-frequency component of the QRS complex in the current electrocardiograph data according to the target electrocardiograph detection to obtain a current overall risk assessment score, wherein the method comprises the following steps:
Analyzing the high-frequency component of the QRS complex in the current resting electrocardiosignal to obtain a current high-frequency QRS envelope curve;
determining a current resting reference feature according to the current high-frequency QRS envelope curve and the age; the current resting reference characteristic comprises the current resting positive lead number, the current resting critical lead number, the first target lead number, the second target lead number, the current target frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads with a current high frequency morphology index greater than or equal to a first index threshold; the second target number of leads refers to the number of resting leads for which the current root mean square voltage is less than or equal to the first voltage threshold; the current target frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to the rest leads; the current target root-mean-square voltage is the minimum value of the current root-mean-square voltages corresponding to the rest leads;
and determining a current overall risk assessment score according to the current rest reference characteristics.
6. The method of claim 1, wherein if the target electrocardiographic detection comprises resting electrocardiographic detection and load motion electrocardiographic detection, the current electrocardiographic data further comprises an age of the subject and a current motion electrocardiographic signal; analyzing the high-frequency component of the QRS complex in the current electrocardiograph data according to the target electrocardiograph detection to obtain a current overall risk assessment score, wherein the method comprises the following steps:
Analyzing the high-frequency component of the QRS complex in the current resting electrocardiosignal to obtain a current high-frequency QRS envelope curve;
determining a current resting reference feature according to the current high-frequency QRS envelope curve and the age; the current resting reference characteristic comprises the current resting positive lead number, the current resting critical lead number, the first target lead number, the second target lead number, the current target frequency morphology index and the current target root mean square voltage; the first target number of leads refers to the number of resting leads with a current high frequency morphology index greater than or equal to a first index threshold; the second target number of leads refers to the number of resting leads for which the current root mean square voltage is less than or equal to the first voltage threshold; the current target frequency morphology index is the maximum value of the current high-frequency morphology indexes corresponding to the rest leads; the current target root-mean-square voltage is the minimum value of the current root-mean-square voltages corresponding to the rest leads;
analyzing the high-frequency component of the QRS complex in the current motion electrocardiosignal to obtain a current high-frequency QRS waveform curve;
determining a current maximum heart rate of the subject according to the current exercise electrocardiosignal;
Determining a current motion reference feature according to the current high-frequency QRS waveform curve, the age and the current maximum heart rate; the current motion reference characteristics comprise the number of current motion positive leads, the number of current motion critical leads, the number of third target leads, the number of fourth target leads and the number of fifth target leads, and a first amplitude reduction relative value and a second amplitude reduction relative value corresponding to each motion lead; the third target number of leads refers to the number of moving leads having a corresponding first amplitude decrease relative value greater than or equal to a first relative value threshold; the fourth target lead number refers to the number of motion leads with descending and ascending repeated fluctuation trend of the corresponding current high-frequency QRS waveform curve in a first time period; the fifth target number of leads refers to the number of moving leads having a corresponding second amplitude decrease relative value greater than or equal to a second relative value threshold;
and determining a current overall risk assessment score according to the current rest reference characteristic and the current motion reference characteristic.
7. The method of claim 6, wherein said determining a current overall risk assessment score from said current resting reference feature and said current motion reference feature comprises:
Determining a current overall risk assessment score according to the current rest reference feature, the current motion reference feature and the current fusion reference feature; the current fusion reference feature comprises the current resting positive lead number, the current resting critical lead number, the first target lead number, the current target frequency morphology index, the current motion positive lead number and the current motion critical lead number, and a second amplitude reduction relative value corresponding to each motion lead.
8. An electrocardiographic data analysis device, the device comprising:
the acquisition module is used for acquiring current electrocardiographic data acquired corresponding to target electrocardiographic detection in the first stage; the current electrocardio data at least comprises a current resting electrocardio signal;
the analysis module is used for analyzing the high-frequency components of the QRS complex in the current electrocardiograph data according to the target electrocardiograph detection to obtain a current overall risk assessment score;
the analysis module is also used for analyzing the current resting electrocardiosignal to obtain an autonomic innervation evaluation score and a cardiac function evaluation score;
the acquisition module is further used for acquiring a historical overall risk assessment score corresponding to the testee in the second stage; the historical overall risk assessment score is determined by historical electrocardiographic data corresponding to the target electrocardiographic detection;
The evaluation module is used for determining a rehabilitation guidance reference index according to the current overall risk evaluation score, the historical overall risk evaluation score, the autonomic innervation evaluation score and the cardiac function evaluation score; the rehabilitation guidance reference index comprises an overall risk change index and a target risk assessment grade;
the analysis module is further used for analyzing the high-frequency components of the QRS complex in the current resting electrocardiosignal to obtain a current high-frequency QRS envelope curve; determining an autonomic innervation assessment index according to the current high-frequency QRS envelope curve; the autonomic innervation evaluation index comprises limb lead average voltage and chest lead average voltage; determining an autonomic innervation assessment score from a ratio of the limb lead average voltage to the chest lead average voltage;
the evaluation module is further used for determining an overall risk change index according to the current overall risk evaluation score and the historical overall risk evaluation score; and determining a target risk assessment grade according to the current overall risk assessment score, the autonomic innervation assessment score and the cardiac function assessment score.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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