Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
A fast fixed-point algorithm for independent component analysis
Neural Computation
High-order contrasts for independent component analysis
Neural Computation
Adaptive separation of independent sources: a deflation approach
ICASSP '94 Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04
A blind source separation technique using second-order statistics
IEEE Transactions on Signal Processing
Atrial Activity Extraction Based on Statistical and Spectral Features
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Artificial Intelligence in Medicine
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This paper deals with the problem of estimating atrial activity during atrial fibrillation periods in the electrocardiogram (ECG). Since the signal of interest differs in kurtosis sign from the dominant sources in the ECG, we propose an independent component analysis method for source extraction based on the different kurtosis sign and extend it with a constraint of spectral concentration in the 3-12Hz frequency band. Results show that we are able to estimate the atrial fibrillation with a single algorithm having low computational complexity (O(7n-7)T).