178 related articles for article (PubMed ID: 33481208)
21. Classification of ECG heartbeats using nonlinear decomposition methods and support vector machine.
Rajesh KNVPS; Dhuli R
Comput Biol Med; 2017 Aug; 87():271-284. PubMed ID: 28624712
[TBL] [Abstract][Full Text] [Related]
22. [An improved wavelet threshold algorithm for ECG denoising].
Liu X; Qiao L; Yang J; Dong B; Wang H
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2014 Jun; 31(3):511-5. PubMed ID: 25219225
[TBL] [Abstract][Full Text] [Related]
23. [Empirical mode of combination of the wavelet threshold filtering and empirical mode decomposition (EMD) based on energy estimate].
Li X; Wang H; Wang Y; Zhao F
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Dec; 28(6):1098-102. PubMed ID: 22295693
[TBL] [Abstract][Full Text] [Related]
24. Affordable low complexity heart/brain monitoring methodology for remote health care.
Vemishetty N; Jadhav P; Adapa B; Acharyya A; Pachamuthu R; Naik GR
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():5082-5. PubMed ID: 26737434
[TBL] [Abstract][Full Text] [Related]
25. ECG De-noising: A comparison between EEMD-BLMS and DWT-NN algorithms.
Kærgaard K; Jensen SH; Puthusserypady S
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():3811-4. PubMed ID: 26737124
[TBL] [Abstract][Full Text] [Related]
26. Fusion of ECG and ABP signals based on wavelet transform for cardiac arrhythmias classification.
Arvanaghi R; Daneshvar S; Seyedarabi H; Goshvarpour A
Comput Methods Programs Biomed; 2017 Nov; 151():71-78. PubMed ID: 28947007
[TBL] [Abstract][Full Text] [Related]
27. Genetic algorithm for the optimization of features and neural networks in ECG signals classification.
Li H; Yuan D; Ma X; Cui D; Cao L
Sci Rep; 2017 Jan; 7():41011. PubMed ID: 28139677
[TBL] [Abstract][Full Text] [Related]
28. Hybrid Prediction Method for ECG Signals Based on VMD, PSR, and RBF Neural Network.
Huang F; Qin T; Wang L; Wan H
Biomed Res Int; 2021; 2021():6624298. PubMed ID: 33816620
[TBL] [Abstract][Full Text] [Related]
29. Electrocardiogram Signal Classification in the Diagnosis of Heart Disease Based on RBF Neural Network.
Fang Y; Shi J; Huang Y; Zeng T; Ye Y; Su L; Zhu D; Huang J
Comput Math Methods Med; 2022; 2022():9251225. PubMed ID: 35140808
[TBL] [Abstract][Full Text] [Related]
30. A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification.
Li G; Tan Z; Xu W; Xu F; Wang L; Chen J; Wu K
BMC Med Inform Decis Mak; 2021 Jul; 21(Suppl 2):99. PubMed ID: 34330266
[TBL] [Abstract][Full Text] [Related]
31. Leg motion classification with artificial neural networks using wavelet-based features of gyroscope signals.
Ayrulu-Erdem B; Barshan B
Sensors (Basel); 2011; 11(2):1721-43. PubMed ID: 22319378
[TBL] [Abstract][Full Text] [Related]
32. An Adaptive ECG Noise Removal Process Based on Empirical Mode Decomposition (EMD).
Hussein AF; Mohammed WR; Musa Jaber M; Ibrahim Khalaf O
Contrast Media Mol Imaging; 2022; 2022():3346055. PubMed ID: 36072620
[TBL] [Abstract][Full Text] [Related]
33. Extreme Learning Machine for Heartbeat Classification with Hybrid Time-Domain and Wavelet Time-Frequency Features.
Xu Y; Zhang S; Cao Z; Chen Q; Xiao W
J Healthc Eng; 2021; 2021():6674695. PubMed ID: 33505643
[TBL] [Abstract][Full Text] [Related]
34. A New ECG Denoising Framework Using Generative Adversarial Network.
Singh P; Pradhan G
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):759-764. PubMed ID: 32142452
[TBL] [Abstract][Full Text] [Related]
35. ECG signal compression using combined modified discrete cosine and discrete wavelet transforms.
Ahmed SM; Al-Ajlouni AF; Abo-Zahhad M; Harb B
J Med Eng Technol; 2009; 33(1):1-8. PubMed ID: 19116848
[TBL] [Abstract][Full Text] [Related]
36. A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks.
Kutlu H; Avcı E
Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31035406
[TBL] [Abstract][Full Text] [Related]
37. Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals.
Ebrahimi F; Setarehdan SK; Ayala-Moyeda J; Nazeran H
Comput Methods Programs Biomed; 2013 Oct; 112(1):47-57. PubMed ID: 23895941
[TBL] [Abstract][Full Text] [Related]
38. Automatic detection of arrhythmia from imbalanced ECG database using CNN model with SMOTE.
Pandey SK; Janghel RR
Australas Phys Eng Sci Med; 2019 Dec; 42(4):1129-1139. PubMed ID: 31728941
[TBL] [Abstract][Full Text] [Related]
39. A new approach to detection of ECG arrhythmias: complex discrete wavelet transform based complex valued artificial neural network.
Ozbay Y
J Med Syst; 2009 Dec; 33(6):435-45. PubMed ID: 20052896
[TBL] [Abstract][Full Text] [Related]
40. Fuzzy clustered probabilistic and multi layered feed forward neural networks for electrocardiogram arrhythmia classification.
Haseena HH; Mathew AT; Paul JK
J Med Syst; 2011 Apr; 35(2):179-88. PubMed ID: 20703571
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]