Bag-of-words representation for biomedical time series classification

作者: Jin Wang , Ping Liu , Mary F.H. She , Saeid Nahavandi , Abbas Kouzani

DOI: 10.1016/J.BSPC.2013.06.004

关键词:

摘要: … We extracted 50 time series of length 2048 from each of the 40 long signals consisting of more than 1,000,000 data points with random start points. Totally, the ECG-40 dataset contains …

参考文章(48)
Fabien Scalzo, Peng Xu, Marvin Bergsneider, Xiao Hu, Random Subwindows for Robust Peak Recognition in Intracranial Pressure Signals Advances in Visual Computing. pp. 370- 380 ,(2008) , 10.1007/978-3-540-89639-5_36
J. Lin, Finding Motifs in Time Series knowledge discovery and data mining. ,(2002)
David M Blei, Andrew Y Ng, Michael I Jordan, None, Latent dirichlet allocation Journal of Machine Learning Research. ,vol. 3, pp. 993- 1022 ,(2003) , 10.5555/944919.944937
Michael Hüsken, Peter Stagge, Recurrent neural networks for time series classification Neurocomputing. ,vol. 50, pp. 223- 235 ,(2003) , 10.1016/S0925-2312(01)00706-8
İnan Güler, Elif Derya Übeylı˙, ECG beat classifier designed by combined neural network model Pattern Recognition. ,vol. 38, pp. 199- 208 ,(2005) , 10.1016/J.PATCOG.2004.06.009
Marc Sebban, Basura Fernando, Elisa Fromont, Damien Muselet, Supervised learning of Gaussian mixture models for visual vocabulary generation Pattern Recognition. ,vol. 45, pp. 897- 907 ,(2012) , 10.1016/J.PATCOG.2011.07.021
Ling Guo, Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos, Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks Journal of Neuroscience Methods. ,vol. 191, pp. 101- 109 ,(2010) , 10.1016/J.JNEUMETH.2010.05.020
Yongjin Wang, Foteini Agrafioti, Dimitrios Hatzinakos, Konstantinos N. Plataniotis, Analysis of human electrocardiogram for biometric recognition EURASIP Journal on Advances in Signal Processing. ,vol. 2008, pp. 148658- ,(2008) , 10.1155/2008/148658
Saurabh Pal, Madhuchhanda Mitra, Increasing the accuracy of ECG based biometric analysis by data modelling Measurement. ,vol. 45, pp. 1927- 1932 ,(2012) , 10.1016/J.MEASUREMENT.2012.03.005