Open Science Research Excellence
%0 Journal Article
%A Pei-Chann Chang and  Jui-Chien Hsieh and  Jyun-Jie Lin and  Feng-Ming Yeh
%D 2010 
%J  International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 41, 2010
%T Atrial Fibrillation Analysis Based on Blind Source Separation in 12-lead ECG
%U http://waset.org/publications/3613
%V 41
%X 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.
%P 208 - 211