Arrhythmia real-time analysis method, electrocardiogram monitoring device and storage medium

文档序号:1144922 发布日期:2020-09-11 浏览:10次 中文

阅读说明:本技术 心律失常实时分析方法、心电监护设备及存储介质 (Arrhythmia real-time analysis method, electrocardiogram monitoring device and storage medium ) 是由 代建 左鹏飞 叶文宇 关则宏 李明 于 2018-01-18 设计创作,主要内容包括:一种心律失常实时分析方法以及心电监护设备,心律失常实时分析方法包括:获取当前心律失常分析所使用的QRS模板集(101);判断QRS模板集中的各个QRS模板是否可靠(102);在QRS模板集中包含有不可靠的QRS模板时,显示QRS模板的信息(103);根据用户针对QRS模板的信息进行的操作,确定QRS模板集(104);以及获取实时心电数据,采用经过确定后的QRS模板集对实时心电数据进行心律失常分析,并实时输出对实时心电数据的心律失常分析结果(106)。心律失常实时分析方法通过编辑当前所创建的QRS模板,可以实现对特殊波形的模板进行纠正,当再次分析此类波形时,可以给出正确的心律失常分析结果,从而可提高心律失常分析的准确性,进而提升心电监护质量。(A real-time arrhythmia analysis method and an electrocardiogram monitoring device are provided, the real-time arrhythmia analysis method comprises: acquiring a QRS template set (101) used by current arrhythmia analysis; judging whether each QRS template in the QRS template set is reliable or not (102); when the QRS template set contains unreliable QRS templates, displaying information of the QRS templates (103); determining a QRS template set (104) according to the operation of a user on the information of the QRS template; and acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by adopting the determined QRS template set, and outputting arrhythmia analysis results of the real-time electrocardiogram data in real time (106). The arrhythmia real-time analysis method can realize the correction of the template of the special waveform by editing the currently created QRS template, and can give a correct arrhythmia analysis result when analyzing the waveform again, thereby improving the arrhythmia analysis accuracy and further improving the electrocardio monitoring quality.)

A real-time arrhythmia analysis method, comprising:

acquiring a QRS template set used by current arrhythmia analysis, wherein the current QRS template set comprises a plurality of QRS templates;

judging whether each QRS template in the current QRS template set is reliable or not;

when the current QRS template set contains unreliable QRS templates, displaying the information of the QRS templates, wherein the information of the QRS templates comprises the reliability judgment result of the QRS templates;

determining the QRS template set according to the operation of a user aiming at the information of the QRS template; and

acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by adopting the determined QRS template set, and outputting arrhythmia analysis results of the real-time electrocardiogram data in real time.

The real-time arrhythmia analysis method of claim 1 further comprising:

when each QRS template in the current QRS template set is reliable, receiving calling operation, and calling out information of the QRS template according to the received calling operation;

determining the QRS template set according to the operation of a user aiming at the information of the QRS template; and

acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by adopting the determined QRS template set, and outputting arrhythmia analysis results of the real-time electrocardiogram data in real time.

The real-time arrhythmia analysis method according to claim 1 or 2, further comprising:

displaying arrhythmia analysis results of the real-time electrocardio data in a human-computer interaction interface in real time; and

and when the arrhythmia analysis result of the real-time electrocardio data is abnormal rhythm, alarming in real time to prompt the abnormal rhythm.

The method for analyzing arrhythmia in real time according to claim 2, wherein the acquiring real-time electrocardiographic data, performing arrhythmia analysis on the real-time electrocardiographic data by using the determined QRS template set, and outputting arrhythmia analysis results of the real-time electrocardiographic data in real time specifically comprises:

acquiring a QRS template set after determination;

acquiring real-time electrocardiogram data to be analyzed;

carrying out matching analysis on QRS waves in the real-time electrocardiogram data and all QRS templates contained in the QRS template set after determination one by one, and classifying the QRS waves in the real-time electrocardiogram data according to the matching analysis result; and

analyzing the arrhythmia type according to the QRS wave classification result, and outputting the arrhythmia analysis result of the real-time electrocardio data.

The real-time arrhythmia analysis method as claimed in claim 1 or 2 wherein the user's operations on the information of the QRS template include editing operations, the real-time arrhythmia analysis method further comprising:

after the information of the QRS template in the current QRS template set is edited, obtaining historical electrocardiogram data, carrying out arrhythmia analysis on the historical electrocardiogram data again by adopting the edited QRS template, and outputting arrhythmia analysis results of the historical electrocardiogram data.

The method for analyzing arrhythmia in real time as claimed in claim 5, wherein the acquiring historical electrocardiographic data, performing arrhythmia analysis again on the historical electrocardiographic data by using the edited QRS template, and outputting arrhythmia analysis results on the historical electrocardiographic data specifically comprises:

acquiring all edited QRS templates;

acquiring historical electrocardiogram data to be re-analyzed;

carrying out matching analysis on QRS waves in the historical electrocardiogram data and all edited QRS templates one by one, and classifying the QRS waves in the historical electrocardiogram data according to the matching analysis result; and

analyzing the arrhythmia type according to the QRS wave classification result, outputting the current arrhythmia analysis result of the historical electrocardio data and recording the arrhythmia occurrence time.

The real-time arrhythmia analysis method of claim 6 further comprising:

when the current arrhythmia analysis result of the historical electrocardio data is abnormal rhythm, comparing the current arrhythmia analysis result of the historical electrocardio data with a historical alarm list to judge whether the historical alarm list contains alarm prompts of the same arrhythmia type at corresponding time;

and if the historical alarm list does not contain alarm prompts of the same arrhythmia type at corresponding moments, displaying the arrhythmia type and the occurrence moment of the historical electrocardio data in a man-machine interaction interface, and alarming and prompting the arrhythmia type and the occurrence moment.

The method for analyzing arrhythmia in real time as claimed in claim 4, wherein the matching analysis of the QRS wave in the real-time ECG data with all the QRS templates contained in the set of QRS templates after the determination is performed one by one, and the classification of the QRS wave in the real-time ECG data according to the matching analysis result comprises:

carrying out matching analysis on the QRS waves in the real-time electrocardiogram data and all QRS templates contained in the QRS template set after determination one by one, and calculating the correlation coefficient of the QRS waves and the forms of all the QRS templates contained in the QRS template set after determination; and

when the QRS wave has the maximum correlation coefficient with one QRS template and the maximum correlation coefficient is larger than a preset correlation threshold value, determining that the QRS wave is matched with the one QRS template, and determining the type of the QRS wave according to the type of the one QRS template.

The method for real-time analysis of arrhythmia as claimed in claim 8 wherein the analysis of arrhythmia type based on QRS wave classification includes:

and analyzing the classified QRS wave types within a certain time period by combining a specific arrhythmia judgment criterion and a preset threshold value to determine the type of arrhythmia.

The method for analyzing arrhythmia in real time as claimed in claim 1, wherein the determining whether each QRS template in the current set of QRS templates is reliable includes:

acquiring information of each QRS template in a current QRS template set, wherein the information of the QRS templates further comprises types and characteristic parameters of the QRS templates;

comparing the acquired characteristic parameters of each QRS template with corresponding preset parameter thresholds, and judging whether each QRS template is reliable or not according to the comparison result; and

and outputting the reliability judgment result of each QRS template.

The method for analyzing arrhythmia in real time as claimed in claim 1, wherein the "information for displaying QRS template" specifically includes:

popping up two prompt windows, displaying the information of a reliable QRS template in one prompt window and displaying the information of an unreliable QRS template in the other prompt window according to the reliability judgment result of each QRS template; or

Popping up a prompt window, and displaying the information of unreliable QRS templates in the prompt window according to the reliability judgment result of each QRS template; or

And popping up a prompt window, and displaying the information of each QRS template in the prompt window.

The real-time arrhythmia analysis method of claim 1 further comprising:

acquiring QRS waves and morphological feature information thereof;

matching and analyzing the obtained QRS waves and all QRS templates in the existing QRS template set one by one, and respectively calculating correlation coefficients of the QRS waves and the forms of the QRS templates;

judging whether a template matched with the QRS wave exists in the existing QRS template set or not according to each calculated correlation coefficient;

if no template matched with the QRS wave exists in the existing QRS template set, using the morphological feature information of the QRS wave to create a new QRS template, and determining the type of the new QRS template;

if the existing QRS template set has a matching template matched with the QRS wave, the feature parameters of the matching template are updated by adopting the acquired morphological feature information of the QRS wave.

The method for analyzing arrhythmia in real time as claimed in claim 1 or 2, wherein the determining the QRS template set according to the operation performed by the user on the information of the QRS template specifically comprises:

judging the type of operation of the user aiming at the information of the QRS template;

if the operation is an editing operation, updating information of a corresponding QRS template in the QRS template set according to the editing operation;

and if the operation is a confirmation operation, keeping the information of the corresponding QRS template in the QRS template set unchanged according to the confirmation operation.

An ecg monitoring device comprising a display screen, a processor, a memory, and a computer program stored in the memory, wherein the processor is configured to execute the computer program stored in the memory to perform the following steps:

acquiring a QRS template set used by current arrhythmia analysis, wherein the current QRS template set comprises a plurality of QRS templates;

judging whether each QRS template in the current QRS template set is reliable or not;

when the current QRS template set contains unreliable QRS templates, controlling the display screen to display the information of the QRS templates, wherein the information of the QRS templates comprises the reliability judgment result of the QRS templates;

determining the QRS template set according to the operation of a user aiming at the information of the QRS template; and

acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by adopting the determined QRS template set, and outputting arrhythmia analysis results of the real-time electrocardiogram data in real time.

The ecg monitoring device of claim 14, wherein the processor is further configured to execute the computer program stored in the memory to perform the steps of:

when each QRS template in the current QRS template set is reliable, receiving calling operation, and calling out information of the QRS template according to the received calling operation;

determining the QRS template set according to the operation of a user aiming at the information of the QRS template; and

acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by adopting the determined QRS template set, and outputting arrhythmia analysis results of the real-time electrocardiogram data in real time.

The ecg monitoring device of claim 14 or 15, further comprising an alarm device, wherein the processor is further configured to execute the computer program stored in the memory to perform the steps of:

controlling the display screen to display a human-computer interaction interface;

displaying arrhythmia analysis results of the real-time electrocardio data in the man-machine interaction interface in real time; and

and when the arrhythmia analysis result of the real-time electrocardio data is abnormal rhythm, controlling the alarm device to alarm and prompt the abnormal rhythm in real time.

The ecg monitoring device of claim 15, further comprising an alarm device, wherein the processor runs a computer program stored in the memory to execute the following steps when acquiring real-time ecg data, performing arrhythmia analysis on the real-time ecg data using the determined QRS template set, and outputting an arrhythmia analysis result of the real-time ecg data in real time:

acquiring a QRS template set after determination;

acquiring real-time electrocardiogram data to be analyzed;

carrying out matching analysis on QRS waves in the real-time electrocardiogram data and all QRS templates contained in the QRS template set after determination one by one, and classifying the QRS waves in the real-time electrocardiogram data according to the matching analysis result; and

analyzing the arrhythmia type according to the QRS wave classification result, and outputting the arrhythmia analysis result of the real-time electrocardio data.

The ecg monitoring device of claim 14 or 15, wherein the user action on the information of the QRS template comprises an editing action, and wherein the processor is further configured to execute the computer program stored in the memory to perform the steps of:

after the information of the QRS template in the current QRS template set is edited, obtaining historical electrocardiogram data, carrying out arrhythmia analysis on the historical electrocardiogram data again by adopting the edited QRS template, and outputting arrhythmia analysis results of the historical electrocardiogram data.

The ecg monitoring device of claim 18, wherein the processor executes the computer program stored in the memory to perform the following steps in acquiring historical ecg data, performing arrhythmia analysis on the historical ecg data again using the edited QRS template, and outputting arrhythmia analysis results on the historical ecg data:

acquiring all edited QRS templates;

acquiring historical electrocardiogram data to be re-analyzed;

carrying out matching analysis on QRS waves in the historical electrocardiogram data and all edited QRS templates one by one, and classifying the QRS waves in the historical electrocardiogram data according to the matching analysis result; and

analyzing the arrhythmia type according to the QRS wave classification result, outputting the current arrhythmia analysis result of the historical electrocardio data and recording the arrhythmia occurrence time.

The ecg monitoring device of claim 19, wherein the processor is further configured to execute the computer program stored in the memory to perform the steps of:

when the current arrhythmia analysis result of the historical electrocardio data is abnormal rhythm, comparing the current arrhythmia analysis result of the historical electrocardio data with a historical alarm list to judge whether the historical alarm list contains alarm prompts of the same arrhythmia type at corresponding time; and

and when the historical alarm list does not contain alarm prompts of the same arrhythmia type at corresponding time, controlling the display screen to display a human-computer interaction interface, displaying the arrhythmia type and the occurrence time of the historical electrocardio data in the human-computer interaction interface, and controlling the alarm device to alarm and prompt the arrhythmia type and the occurrence time.

The ecg monitoring device of claim 14 or 15, wherein the processor executes a computer program stored in the memory to perform the following steps in determining the QRS template set according to the information of the QRS template from the user:

judging the type of operation of the user aiming at the information of the QRS template;

if the operation is an editing operation, updating information of a corresponding QRS template in the QRS template set according to the editing operation;

and if the operation is a confirmation operation, keeping the information of the corresponding QRS template in the QRS template set unchanged according to the confirmation operation.

A real-time arrhythmia analysis method, comprising:

acquiring a QRS template set used by current arrhythmia analysis, wherein the current QRS template set comprises a plurality of QRS templates;

receiving a calling operation, and calling out information of a QRS template according to the received calling operation;

determining the QRS template set according to the operation of a user aiming at the information of the QRS template; and

acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by adopting the determined QRS template set, and outputting arrhythmia analysis results of the real-time electrocardiogram data in real time.

The real-time arrhythmia analysis method of claim 22 wherein the real-time arrhythmia analysis method further comprises:

judging whether each QRS template in the current QRS template set is reliable or not;

when the current QRS template set contains unreliable QRS templates, displaying the information of the QRS templates, wherein the information of the QRS templates comprises the reliability judgment result of the QRS templates; and

and determining the QRS template set according to the operation of the user on the information of the QRS template.

The real-time arrhythmia analysis method according to claim 22 or 23 further comprising:

displaying arrhythmia analysis results of the real-time electrocardio data in a human-computer interaction interface in real time; and

and when the arrhythmia analysis result of the real-time electrocardio data is abnormal rhythm, alarming in real time to prompt the abnormal rhythm.

The method for analyzing arrhythmia in real time according to claim 22 or 23, wherein the acquiring real-time electrocardiographic data, performing arrhythmia analysis on the real-time electrocardiographic data by using the determined QRS template set, and outputting arrhythmia analysis results of the real-time electrocardiographic data in real time specifically comprises:

acquiring a QRS template set after determination;

acquiring real-time electrocardiogram data to be analyzed;

carrying out matching analysis on QRS waves in the real-time electrocardiogram data and all QRS templates contained in the QRS template set after determination one by one, and classifying the QRS waves in the real-time electrocardiogram data according to the matching analysis result; and

analyzing the arrhythmia type according to the QRS wave classification result, and outputting the arrhythmia analysis result of the real-time electrocardio data.

The real-time arrhythmia analysis method as claimed in claim 22 or 23 wherein the user action on the information of the QRS template includes an editing action, the real-time arrhythmia analysis method further comprising:

after the information of the QRS template in the current QRS template set is edited, obtaining historical electrocardiogram data, carrying out arrhythmia analysis on the historical electrocardiogram data again by adopting the edited QRS template, and outputting arrhythmia analysis results of the historical electrocardiogram data.

The method for analyzing arrhythmia in real time as claimed in claim 26, wherein the acquiring historical electrocardiographic data, performing arrhythmia analysis again on the historical electrocardiographic data by using the edited QRS template, and outputting arrhythmia analysis results on the historical electrocardiographic data, specifically comprises:

acquiring all edited QRS templates;

acquiring historical electrocardiogram data to be re-analyzed;

carrying out matching analysis on QRS waves in the historical electrocardiogram data and all edited QRS templates one by one, and classifying the QRS waves in the historical electrocardiogram data according to the matching analysis result; and

analyzing the arrhythmia type according to the QRS wave classification result, outputting the current arrhythmia analysis result of the historical electrocardio data and recording the arrhythmia occurrence time.

The real-time arrhythmia analysis method of claim 27 wherein the real-time arrhythmia analysis method further comprises:

when the current arrhythmia analysis result of the historical electrocardio data is abnormal rhythm, comparing the current arrhythmia analysis result of the historical electrocardio data with a historical alarm list to judge whether the historical alarm list contains alarm prompts of the same arrhythmia type at corresponding time;

and if the historical alarm list does not contain alarm prompts of the same arrhythmia type at corresponding moments, displaying the arrhythmia type and the occurrence moment of the historical electrocardio data in a man-machine interaction interface, and alarming and prompting the arrhythmia type and the occurrence moment.

The method for analyzing arrhythmia in real time as claimed in claim 22 or 23, wherein the determining the QRS template set according to the operation performed by the user on the information of the QRS template specifically includes:

judging the type of operation of the user aiming at the information of the QRS template;

if the operation is an editing operation, updating information of a corresponding QRS template in the QRS template set according to the editing operation;

and if the operation is a confirmation operation, keeping the information of the corresponding QRS template in the QRS template set unchanged according to the confirmation operation.

A cardiac monitoring apparatus comprising a processor, a memory, and a computer program stored in the memory, wherein the processor is configured to execute the computer program stored in the memory to perform the steps of:

acquiring a QRS template set used by current arrhythmia analysis, wherein the current QRS template set comprises a plurality of QRS templates;

receiving a calling operation, and calling out information of a QRS template according to the received calling operation;

determining the QRS template set according to the operation of a user aiming at the information of the QRS template; and

acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by adopting the determined QRS template set, and outputting arrhythmia analysis results of the real-time electrocardiogram data in real time.

The ecg monitoring device of claim 30, wherein the processor is further configured to execute the computer program stored in the memory to perform the steps of:

judging whether each QRS template in the current QRS template set is reliable or not;

when the current QRS template set contains unreliable QRS templates, displaying the information of the QRS templates, wherein the information of the QRS templates comprises the reliability judgment result of the QRS templates; and

and determining the QRS template set according to the operation of the user on the information of the QRS template.

The ecg monitoring device of claim 30 or 31, further comprising a display screen and an alarm device, wherein the processor is further configured to execute the computer program stored in the memory to perform the steps of:

controlling the display screen to display a human-computer interaction interface;

displaying arrhythmia analysis results of the real-time electrocardio data in the man-machine interaction interface in real time; and

and when the arrhythmia analysis result of the real-time electrocardio data is abnormal rhythm, controlling the alarm device to alarm and prompt the abnormal rhythm in real time.

The ecg monitoring device of claim 30 or 31, wherein the processor executes the computer program stored in the memory to perform the following steps when acquiring real-time ecg data, performing arrhythmia analysis on the real-time ecg data using the determined QRS template set, and outputting an arrhythmia analysis result of the real-time ecg data in real time:

acquiring a QRS template set after determination;

acquiring real-time electrocardiogram data to be analyzed;

carrying out matching analysis on QRS waves in the real-time electrocardiogram data and all QRS templates contained in the QRS template set after determination one by one, and classifying the QRS waves in the real-time electrocardiogram data according to the matching analysis result; and

analyzing the arrhythmia type according to the QRS wave classification result, and outputting the arrhythmia analysis result of the real-time electrocardio data.

The ecg monitoring device of claim 30 or 31, wherein the user action on the information of the QRS template comprises an editing action, and wherein the processor is further configured to execute the computer program stored in the memory to perform the steps of:

after the information of the QRS template in the current QRS template set is edited, obtaining historical electrocardiogram data, carrying out arrhythmia analysis on the historical electrocardiogram data again by adopting the edited QRS template, and outputting arrhythmia analysis results of the historical electrocardiogram data.

The ecg monitoring device of claim 34, wherein the processor executes the computer program stored in the memory to perform the following steps in acquiring historical ecg data, performing arrhythmia analysis on the historical ecg data again using the edited QRS template, and outputting arrhythmia analysis results on the historical ecg data:

acquiring all edited QRS templates;

acquiring historical electrocardiogram data to be re-analyzed;

carrying out matching analysis on QRS waves in the historical electrocardiogram data and all edited QRS templates one by one, and classifying the QRS waves in the historical electrocardiogram data according to the matching analysis result; and

analyzing the arrhythmia type according to the QRS wave classification result, outputting the current arrhythmia analysis result of the historical electrocardio data and recording the arrhythmia occurrence time.

The ecg monitoring device of claim 35, wherein the processor is further configured to execute the computer program stored in the memory to perform the steps of:

when the current arrhythmia analysis result of the historical electrocardio data is abnormal rhythm, comparing the current arrhythmia analysis result of the historical electrocardio data with a historical alarm list to judge whether the historical alarm list contains alarm prompts of the same arrhythmia type at corresponding time;

and when the historical alarm list does not contain alarm prompts of the same arrhythmia type at corresponding time, controlling the display screen to display a human-computer interaction interface, displaying the arrhythmia type and the occurrence time of the historical electrocardio data in the human-computer interaction interface, and controlling the alarm device to alarm and prompt the arrhythmia type and the occurrence time.

The ecg monitoring device of claim 30 or 31, wherein the processor executes a computer program stored in the memory to perform the following steps in determining the QRS template set according to the information of the QRS template from the user:

judging the type of operation of the user aiming at the information of the QRS template;

if the operation is an editing operation, updating information of a corresponding QRS template in the QRS template set according to the editing operation;

and if the operation is a confirmation operation, keeping the information of the corresponding QRS template in the QRS template set unchanged according to the confirmation operation.

A computer readable storage medium having stored thereon computer instructions, which when executed by a processor, carry out the steps of the method for real-time arrhythmia analysis according to any one of claims 1-13 or 22-29.

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