Data quality control method suitable for cardiovascular remote monitoring system

Abstract

The invention discloses a data quality control method suitable for a cardiovascular remote monitoring system. The method includes the steps that S1, quality detection is conducted on the integrity of a QRS wave group of electrocardiogram data extracted in a data acquisition stage, the integrity, accuracy, consistency and timeliness of the data in the data storage and management stage and the classification complexity of the data in the data processing and analyzing stage, and whether the data quality meets the standard or not is judged; S2, when the quality of a certain datum or several data in the data acquisition stage, the data storage and management stage and the data processing and analyzing stage does / do not meet the standard, a corresponding control measure is taken so that the data in all the stages can meet the standard; the most suitable classification model and data preprocessing advice are provided for the qualified data. By means of the method, data quality integrated control in different data stages is achieved.

Description

technical field [0001] The invention relates to the field of information quality control, in particular to a data quality control method suitable for a cardiovascular remote monitoring system. Background technique [0002] According to the "China Cardiovascular Disease Report 2013" issued by the National Center for Cardiovascular Diseases, the number of patients with cardiovascular diseases in my country is as high as 290 million, and the number of people who die from cardiovascular diseases is about 3.5 million every year, ranking first among various causes of death. Cardiovascular disease has the characteristics of difficult early diagnosis, sudden onset, high mortality rate, etc., and seriously affects the quality of daily life of patients. Using the cardiovascular remote monitoring system to implement remote home monitoring for patients with relatively stable conditions or inconvenient mobility can not only monitor the key physiological parameters of patients for 24 hour...

AI Technical Summary

Problems solved by technology

[0006] 1) There is a lack of an effective assessment model for the data quality of cardiovascular remote monitoring systems;

[0007] 2) The data quality control technologies at different stages are independent, and there is no effective integration

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