Time series real time naive bayes electrocardiogram signal classification for efficient disease prediction using fuzzy rules-Reference-Cited by-同舟云学术

Time series real time naive bayes electrocardiogram signal classification for efficient disease prediction using fuzzy rules

Published:2020-04-30 Issue:5 Volume:12 Page:5257-5267
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Aarthy S. T.,Iqbal J. L. Mazher

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02003-0.pdf

Reference18 articles.

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4. Diker A (2019) A new technique for ECG signal classification genetic algorithm Wavelet Kernel extreme learning machine. Elsevier Optik 180:46–65

5. Elhaj FA, Salim N, Harris AR, Swee TT, Ahmed T (2016) Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals. Comput Methods Prog Biomed 127:52–63

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