Exercise electrocardiogram data analysis method and device, computer equipment and storage medium
A technology of electrocardiogram data and exercise, applied in the field of medical instruments, can solve the problems of reducing the accuracy of heart health status recognition, and achieve the effect of reducing subjectivity and improving the accuracy of recognition
Active Publication Date: 2022-07-12
BISHENGPU BIOTECHNOLOGY CO LTD
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[0003] At present, information related to cardiac activity is usually analyzed based on the ST-T segment data in the electrocardiogram (ECG) to assess whether the myocardium ischemia, so as to realize the identification of heart health status. However, many potential heart problems are in the ST-T segment data Behaved without abnormalities, thereby reducing the accuracy of identification of heart health conditions
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[0051] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.
[0052] The exercise ECG data analysis method provided in this application can be applied to a terminal, a server, or an interactive system including a terminal and a server, and is implemented through the interaction between the terminal and the server, which is not specifically limited here. The terminal can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, ECG monitoring equipment and portable wearable devices, and the server can be implemented by an independent server or a server cluster composed of multiple se...
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The invention relates to an exercise electrocardiogram data analysis method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring and analyzing exercise electrocardio data to obtain a high-frequency QRS waveform curve; selecting a starting point and an ending point of a motion stage from the high-frequency QRS waveform curve as a first reference point and a second reference point respectively; or, selecting a candidate waveform curve from the high-frequency QRS waveform curve, selecting a first reference point with the maximum root-mean-square voltage on the candidate waveform curve, and selecting a second reference point with the minimum root-mean-square voltage behind the first reference point; or, selecting the first reference point with the maximum root mean square voltage on the candidate waveform curve, and selecting the end point of the motion stage as the second reference point; according to the first reference point, the second reference point and the high-frequency QRS waveform curve, determining a waveform descending region area; and determining an attention level according to the waveform drop region area. By adopting the method, the recognition accuracy of the heart health condition can be improved.
Description
technical field [0001] The present application relates to the technical field of medical instruments, and in particular, to a method, device, computer equipment and storage medium for analyzing exercise ECG data. Background technique [0002] With the continuous improvement of people's living standards and the continuous increase of work pressure, heart diseases (such as myocardial infarction) have become more and more common and younger, and have gradually become one of the main diseases that seriously threaten human health. Therefore, how to effectively identify the heart health status to realize the preventive monitoring of heart disease is a problem worthy of attention. [0003] Currently, information related to cardiac activity is usually analyzed based on the ST-T segment data in the electrocardiogram (ECG) to assess whether the myocardium is ischemia, thereby realizing the identification of cardiac health status. However, many potential cardiac problems are detected i...
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IPC IPC(8): A61B5/366A61B5/358
CPCA61B5/366A61B5/358A61B5/72
Inventor 黄庆红
Owner BISHENGPU BIOTECHNOLOGY CO LTD