@article{(Open Science Index):https://publications.waset.org/pdf/3613,
	  title     = {Atrial Fibrillation Analysis Based on Blind Source Separation in 12-lead ECG},
	  author    = {Pei-Chann Chang and  Jui-Chien Hsieh and  Jyun-Jie Lin and  Feng-Ming Yeh},
	  country	= {},
	  institution	= {},
	  abstract     = {Atrial Fibrillation is the most common sustained
arrhythmia encountered by clinicians. Because of the invisible
waveform of atrial fibrillation in atrial activation for human, it is
necessary to develop an automatic diagnosis system. 12-Lead ECG
now is available in hospital and is appropriate for using Independent
Component Analysis to estimate the AA period. In this research, we
also adopt a second-order blind identification approach to transform
the sources extracted by ICA to more precise signal and then we use
frequency domain algorithm to do the classification. In experiment,
we gather a significant result of clinical data.},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {4},
	  number    = {5},
	  year      = {2010},
	  pages     = {208 - 211},
	  ee        = {https://publications.waset.org/pdf/3613},
	  url   	= {https://publications.waset.org/vol/41},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 41, 2010},