Journal of Shanghai Jiao Tong University (Science) ›› 2018, Vol. 23 ›› Issue (1): 66-73.doi: 10.1007/s12204-018-1911-3
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LIU Yixiua (刘宜修), HUANG Yujuanb (黄玉娟), WANG Jianyib (王健怡),LIU Lib (刘莉), LUO Jiajiaa* (罗家佳)
Online:
2018-02-01
Published:
2018-02-01
Contact:
LUO Jiajia(罗家佳)
E-mail:jiajia.luo@sjtu.edu.cn
CLC Number:
LIU Yixiua (刘宜修), HUANG Yujuanb (黄玉娟), WANG Jianyib (王健怡),LIU Lib (刘莉), LUO Jiajiaa* (罗家佳). Detecting Premature Ventricular Contraction in Children with Deep Learning[J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(1): 66-73.
[1] EUGENIO P. Frequent premature ventricular contractions— An electrical link to cardiomyopathy [J]. Cardiologyin Review, 2015, 23: 168-172. [2] BERTELS R A, HARTEVELD L M, FILIPPINI L H,et al. Left ventricular dysfunction is associated withfrequent premature ventricular complexes and asymptomaticventricular tachycardia in children [J]. EP Europace,2017, 19(4): 617-621. [3] THANAPATAY D, SUWANSAROJ C, THANAWATTANDC. ECG beat classification method for ECGprintout with principle components analysis and supportvector machines [C]//2010 International Conferenceon Electronics and Information Engineering. Kyoto:IEEE, 2010: 72-75. [4] KAYA Y, PHELIVAN H. Classification of prematureventricular contraction in ECG [J]. International Journalof Advanced Computer Science and Applications,2015, 6(7): 34-40. [5] INAN O T, GIOVANGRANDI L, KOVACS G T A.Robust neural-network-based classification of prematureventricular contractions using wavelet transformand timing interval features [J]. IEEE Transactions onBiomedical Engineering, 2006, 53(12): 2507-2515. [6] MAGLAVERAS N. ECG pattern recognition and classificationuing non-linear transformations and neuralnetworks: A review [J]. International Journal of MedicalInformatics, 1998, 52: 191-208. [7] HUANHUAN M, YUE Z. Classification of electrocardiogramsignals with deep belief networks [C]//17thInternational Conference on Computational Scienceand Engineering, Chengdu: IEEE, 2014: 7-12. [8] ZHOU F, JIN L, DONG J. Premature ventricular contractiondetection combining deep neural networks andrules inference [J]. Artificial Intelligence in Medicine,2017, 79: 42-51. [9] CHRISTOV I, JEKOVA I, BORTOLAN G. Prematureventricular contraction classification by theKth nearest-neighbours rule [J]. Physiological Measurement,2005, 26: 123-130. [10] RAHHALMMA, BAZI Y, ALHICHRIH, et al. Deeplearning approach for active classification of electrocardiogramsignals [J]. Information Sciences, 2016, 345:340-354. [11] BORTOLAN G, JEKOVA I, CHRISTOV I. Comparisonof four methods for premature ventricular contractionand normal beat clustering [J]. Computers inCardiology, 2005, 32: 921-924. [12] JIN L, DONG J. Ensemble deep learning for biomedicaltime series classification [J]. Computational Intelligenceand Neuroscience, 2016, 2016: 6212684. [13] RAJPURKAR P, HANNUN A Y, HAGHPANAHIM, et al. Cardiologist-level arrhythmia detection withconvolutional neural networks [EB/OL]. (2017-07-06)[2017-09-25]. https://arxiv.org/pdf/1707.01836.pdf. [14] SZEGEDY C, VANHOUCKE V, IOFFE S, et al. Rethinkingthe inception architecture for computer vision[C]//2016 IEEE Conference on Computer Visionand Pattern Recognition (CVPR). Las Vegas, Nevada:IEEE, 2016: 2818-2826. |
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