Automatic Detection Algorithm for Atrial Fibrillation Based on Atrial Fibrillation and Suspicious Boundary of Sinus Rhythm

  • Hailing Cui
  • Ning DongEmail author
Systems-Level Quality Improvement
Part of the following topical collections:
  1. Wearable Computing Techniques for Smart Health


With the approaching of the aging of the population in China, the risk of heart disease increases with age. Atrial fibrillation as a common heart disease has seriously affected people’s lives and health. A study of atrial fibrillation, dynamic electrocardiogram is usually used to analyze atrial fibrillation. But the accuracy of this analytical method may be artificially disturbed, which causes errors in the process of data analysis. Therefore, the computation analysis is carried by combining the automatic detection algorithm. By using the calculation of computer algorithm, the accuracy of data analysis of dynamic electrocardiogram can be increased. And through the test of automatic detection algorithm, the effectiveness of the algorithm can be found.


Dynamic electrocardiogram Atrial fibrillation Automatic detection algorithm 


Compliance with ethical standards

Conflict of interest

There is no conflict of interest in this article.

Human participants and animal studies

This article does not cover human participants and/or animal studies.

All the authors of this article are aware of the content.


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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Yan’an People’s HospltalYananChina

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