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Automatic report generation method and system for electrocartdiogram monitoring

A report generation and electrical monitoring technology, applied in the field of artificial intelligence data analysis, can solve the problems of inability to meet the customized report output requirements of different users, poor versatility of report data, etc.

Inactive Publication Date: 2019-03-08
SHANGHAI YOCALY HEALTH MANAGEMENT CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

The versatility of the existing report data is very poor, and it cannot meet the customized report output needs of different users

Method used

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  • Automatic report generation method and system for electrocartdiogram monitoring
  • Automatic report generation method and system for electrocartdiogram monitoring
  • Automatic report generation method and system for electrocartdiogram monitoring

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Embodiment Construction

[0048] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0049]The embodiment of the present invention provides an automatic report generation method for ECG monitoring, adopts a modular design to modularly store data of different attributes, and when generating a report, customizes and calls modularized data as required, And customize the module splicing to get the report data for generating reports.

[0050] The automatic report generation method of the present invention is mainly as figure 1 The process shown includes the following steps:

[0051] Step 110, the input module receives the automatic report output request instruction, and determines the requester ID, report object ID and report output configuration parameter selection information according to the automatic report output request instruction;

[0052] Specifically, the input module of the automatic report gen...

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Abstract

The embodiment of the invention relate to an automatic report generation method and system for electrocartdiogram monitoring. The method comprises the steps that an input module receives an automaticreport output request instruction, and a requester ID, a report object ID and report output configuration parameter selection information are determined; a processing module is called to obtain electrocardiography data of a report object from a data storage module according to the report object ID; an artificial intelligence (AI) electrocardiography data processing module conducts automatic AI electrocardiography data analysis on the electrocardiography data of the report object to obtain AI report data; the processing module is called to obtain the AI report data and user information of the report object and determine output configuration parameters of the user information, the AI report data and the electrocardiography data according to the report output configuration parameter selectioninformation; a report generation module loads the output configuration parameters corresponding to the user information, the AI report data and the electrocardiography data into report template data,generates report data of the report object and outputs the report data to report output equipment through an output module.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence data analysis, in particular to an automatic report generation method and system for ECG monitoring. Background technique [0002] In 1908, Einthoven began to use electrocardiography (ECG) to monitor the electrophysiological activity of the heart. At present, non-invasive electrocardiography has become one of the important methods for the diagnosis and screening of heart diseases in the clinical cardiovascular field. According to the clinical application, electrocardiogram can be divided into several categories: static electrocardiogram, dynamic electrocardiogram, and exercise electrocardiogram. The static electrocardiogram adopts the lead system (standard lead system) invented by Einthoven-Wilson-Goldberger, and the electrocardiogram signal is recorded for 8-30 seconds for analysis. The earliest, most commonly used and most basic diagnostic method in diagnosis; dynamic electrocar...

Claims

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Application Information

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IPC IPC(8): A61B5/0402
CPCA61B5/74A61B5/318
Inventor 石博陈娟刘畅汪嘉雨吴超张海峻黄硕王玲张成胜胡友芝彭雪梅
Owner SHANGHAI YOCALY HEALTH MANAGEMENT CO LTD
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