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

  • Systems-Level Quality Improvement
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Abstract

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.

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Authors and Affiliations

  1. Yan’an People’s Hospltal, Yanan, 716000, Shaanxi Province, China

    Hailing Cui & Ning Dong

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  1. Hailing Cui
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  2. Ning Dong
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Correspondence to Ning Dong.

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Cui, H., Dong, N. Automatic Detection Algorithm for Atrial Fibrillation Based on Atrial Fibrillation and Suspicious Boundary of Sinus Rhythm. J Med Syst 43, 160 (2019). https://doi.org/10.1007/s10916-019-1283-8

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  • DOI: https://doi.org/10.1007/s10916-019-1283-8

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