A comparative analysis of principal component and independent component techniques for electrocardiograms

Author:

Chawla M. P. S.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference42 articles.

1. Chawla MPS, Verma HK, Vinod Kumar A (2007) New statistical PCA–ICA algorithm for location of R-peaks in ECG (Elsevier). Int J Cardiol (in press)

2. Chawla MPS, Verma HK, Vinod Kumar (2006) ECG modeling and QRS detection using principal component analysis. In: Proceedings of IET international conference, paper no. 04, MEDSIP06, Glasgow, UK

3. Chawla MPS (2008) PCA–ICA method for detection of QRS complexes and location of R-peaks in electrocardiograms, DSP, Elsevier (revised and resubmitted on 30 April 2008)

4. Hao Z, Li-Qing Z (2005) ECG analysis based on PCA and support vector machines (IEEE). Transactions 0-7803-9422-4/05, pp 743–747

5. Chawla MPS, Verma HK, Vinod Kumar (2007) Artifacts and noise removal in electrocardiograms using independent component analysis (Elsevier). Int J Cardiol (in Press)

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