Automatic Detection Algorithm for Atrial Fibrillation Based on Atrial Fibrillation and Suspicious Boundary of Sinus Rhythm
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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.
KeywordsDynamic electrocardiogram Atrial fibrillation Automatic detection algorithm
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Human participants and animal studies
This article does not cover human participants and/or animal studies.
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- 6.Jeppesen, J., Beniczky, S., Fuglsang, F. A., et al. Modified automatic R-peak detection algorithm for patients with epilepsy using a portable electrocardiogram recorder[J]. Conf Peroc IEEE Eng Med Biol Soc, 4082–4085, 2017.Google Scholar
- 8.Neshige, R., Murayama, N., Igasaki, T., et al. Wavelet Transform Based Algorithm for Automatic Detection of Patient- Specific Single Spike-and-Wave Discharges in Simulated Real-Time Conditions[J]. Neuroscience & Biomedical Engineering, 4(4), 2016.Google Scholar
- 10.Peters, M., Scharmga, A., Jong, J. D. et al., FRI0539 reliability of a semi-automatic algorithm in the detection of cortical breaks in finger joints using high resolution peripheral quantitative CT[J]. Annals of the Rheumatic Diseases 75(Suppl 2):635–635.1, 2016.Google Scholar