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1
Studying the Impact of Varying Sample Length of ECG Signal ..:
, In:
2023 28th International Conference on Automation and Computing (ICAC)
,
Bukhari, Hassan Raza
;
Cheng, Yongqiang
;
Li, Qingde
- p. 1-7 , 2023
Link:
https://doi.org/10.1109/ICAC57885.2023.10275207
RT T1 <cTitle>2023 28th International Conference on Automation and Computing (ICAC)</cTitle>: T1 <Title>Studying the Impact of Varying Sample Length of ECG Signal on Classification Accuracy</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10275207&Exemplar=1&LAN=DE A1 Bukhari, Hassan Raza A1 Cheng, Yongqiang A1 Li, Qingde YR 2023 K1 Computational modeling K1 Signal processing algorithms K1 Support vector machine classification K1 Electrocardiography K1 Predictive models K1 Classification algorithms K1 Decision trees K1 machine learning K1 ecg K1 disease classification K1 digital signals K1 sample length analysis SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ICAC57885.2023.10275207 DO https://doi.org/10.1109/ICAC57885.2023.10275207 SF ELIB - SuUB Bremen
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