Page 66 - AIH-1-4

Artificial Intelligence in Health A fuzzy system for heartbeat classification

doi: 10.1016/j.measurement.2017.05.022 doi: 10.1007/s10462-020-09804-x
18. Satija U, Ramkumar B, Manikandan MS. A new automated 24. Hanbay K. Deep neural network based approach for ECG
signal quality-aware ECG beat classification method for classification using hybrid differential features and active
unsupervised ECG diagnosis environments. IEEE Sensors J. learning. IET Signal Process. 2019;13(2):165-175.
2019;19(1):277-286.
doi: 10.1049/iet-spr.2018.5103
doi: 10.1109/JSEN.2018.2877055
25. Xu X, Jeong S, Li J. Interpretation of electrocardiogram
19. Jing J, Huaifeng Z, Dechang P, Chenglong D. A novel multi- (ECG) rhythm by combined CNN and BiLSTM. IEEE
module neural network system for imbalanced heartbeats Access. 2020;8:125380-125388.
classification. Expert Syst Applic X. 2019;1:100003.
doi: 10.1109/ACCESS.2020.3006707
doi: 10.1016/j.eswax.2019.100003
26. Zhai X, Tin C. Automated ECG classification using dual
20. Tandale S, Barhatte AS, Ghongade R, Dale M. Arrhythmia heartbeat coupling based on convolutional neural network.
Classification Using Neuro Fuzzy Approach. In: IEEE Access. 2018;6:27465-27472.
2017 3 International Conference on Advances in
rd
Computing, Communication and Automation. 2017. p. 1-4. doi: 10.1109/ACCESS.2018.2833841.
doi: 10.1109/ICACCAF.2017.8344712 27. Pan J, Tompkins JW. A real-time QRS detection algorithm.
IEEE Trans Biomed Eng. 1985;32(3):230-236.
21. Rivera J, Rodriguez K, Yu XH. Cardiovascular Conditions
Classification Using Adaptive Neuro-Fuzzy Inference doi: 10.1109/TBME.1985.325532
System. In: 2019 IEEE International Conference on Fuzzy 28. Kuhn M, Johnson K, editors. Classification models. In:
Systems. 2019. p. 1-6. Applied Predictive Modeling. New York: Springer; 2013.
doi: 10.1109/FUZZ-IEEE.2019.8858896 doi: 10.1007/978-1-4614-6849-3
22. Sun Z, Wang C, Zhao Y, Yan C. Multi-label ECG signal 29. Balbinot A, Favieiro G. A Neuro-Fuzzy system
classification based on ensemble classifier. IEEE Access. for characterization of arm movements. Sensors.
2020;8:117986-117996.
2013;13(2):2613-2630.
doi: 10.1109/ACCESS.2020.3004908
doi: 10.3390/s130202613
23. Kour H, Manhas J, Sharma V. Usage and implementation
of neurofuzzy systems for classification and prediction in 30. Jang JS. Adaptive-network-based Fuzzy inference system.
the diagnosis of different types of medical disorders. Artif IEEE Trans Syst Man Cybernet. 1993;23(3):665-685.
Intellig Rev. 2020;53:1-56. doi: 10.1109/21.256541Et omnim eveliquod que et, vollabo.

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