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Precise and efficient heartbeat classification using a novel lightweight-modified method.

Y. Liu, Y. Jin, J. Liu, C. Qin, K. Lin, H. Shi, J. Tao, L. Zhao, and C. Liu. Biomed. Signal Process. Control., (2021)

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Yanrui Dong

Hua Jing

Li Jin

Hong Jin

Xiufang Jin

Other publications of authors with the same name

An efficient neural network-based method for patient-specific information involved arrhythmia detection.Y. Liu, C. Qin, J. Liu, Y. Jin, Z. Li, and C. Liu. Knowl. Based Syst., (2022)An Interpretable Residual Neural Network for the Diagnosis of Myocardial Infarction.X. Wei, M. Wang, Y. Jin, Z. Li, Y. Tian, and C. Liu. FSDM, volume 378 of Frontiers in Artificial Intelligence and Applications, page 938-943. IOS Press, (2023)Precise and efficient heartbeat classification using a novel lightweight-modified method.Y. Liu, Y. Jin, J. Liu, C. Qin, K. Lin, H. Shi, J. Tao, L. Zhao, and C. Liu. Biomed. Signal Process. Control., (2021)Pruned lightweight neural networks for arrhythmia classification with clinical 12-Lead ECGs.Y. Liu, J. Liu, Y. Tian, Y. Jin, Z. Li, L. Zhao, and C. Liu. Appl. Soft Comput., (2024)Deep domain adversarial residual neural network for sustainable wind turbine cyber-physical system fault diagnosis.Y. Jin, Q. Feng, X. Zhang, P. Lu, J. Shen, Y. Tu, and Z. Wu. Softw. Pract. Exp., 51 (11): 2128-2142 (2021)A Novel Personalized Incremental Arrhythmias Classification Method for ECG Monitoring.Z. Li, Y. Tian, Y. Jin, X. Wei, M. Wang, C. Liu, L. Zhao, and X. Yang. FSDM, volume 378 of Frontiers in Artificial Intelligence and Applications, page 877-883. IOS Press, (2023)A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning.Y. Liu, J. Liu, C. Qin, Y. Jin, Z. Li, L. Zhao, and C. Liu. Appl. Intell., 53 (21): 25562-25580 (November 2023)A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection.Y. Jin, J. Liu, Y. Liu, C. Qin, Z. Li, D. Xiao, L. Zhao, and C. Liu. IEEE Trans. Instrum. Meas., (2022)Evaluate the Correlation Between Electrocardiogram Age and Cardiovascular Disease Using a 12-lead ECG Dataset.Y. Tian, X. Wei, Z. Li, Y. Jin, M. Wang, L. Zhao, X. Yang, and C. Liu. FSDM, volume 378 of Frontiers in Artificial Intelligence and Applications, page 905-911. IOS Press, (2023)Interpretable Deep Learning Model for Identifying the Immediate Risk of Myocardial Infarction Complications.M. Wang, Y. Jin, Z. Li, X. Wei, C. Liu, and X. Yang. FSDM, volume 378 of Frontiers in Artificial Intelligence and Applications, page 918-924. IOS Press, (2023)

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Disambiguation of "Jin, Yanrui"

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Precise and efficient heartbeat classification using a novel lightweight-modified method.

Please choose a person to relate this publication to

Yanrui Dong

Hua Jing

Li Jin

Hong Jin

Xiufang Jin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jin, Yanrui"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Precise and efficient heartbeat classification using a novel lightweight-modified method.

Please choose a person to relate this publication to

Yanrui Dong

Hua Jing

Li Jin

Hong Jin

Xiufang Jin

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Precise and efficient heartbeat classification using a novel lightweight-modified method.