Multiscale hidden Markov model applied to ECG segmentation

2003 IEEE International Symposium on Intelligent Signal Processing: From Classical Measurement to Computing with Perceptions, WISP 2003 - Proceedings

Volumn , Issue , 2003, Pages 105-109

  Graja, Salim ^a   Boucher, Jean Marc ^a  

^a ECOLE DES MINES DE NANTES   (France)

Author keywords

ECG; Hidden Markov model; Segmentation; Wavelet tree

Indexed keywords

ELECTROCARDIOGRAPHY; FORESTRY; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; MARKOV PROCESSES; RISK ANALYSIS; RISK ASSESSMENT; SEISMIC WAVES; TREES (MATHEMATICS);

ATRIAL FIBRILLATION; ECG SEGMENTATION; FUSION METHODS; SEGMENTATION METHODS; TREE STRUCTURES; WAVE CHANGES; WAVELET COEFFICIENTS; WAVELET TREE;

SIGNAL PROCESSING;

EID: 84946038297     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISP.2003.1275822     Document Type: Conference Paper

References (4)

1. L,Clavier, J.M. Boucher. R.Lcpage, J.J Blanc. J.C Cornily " Automatic P-wave analysis of patients prone to atrial fibrillation" Medical & Biological Engineering & Computing, Vol.40, n°1 pp. 63-78, Jan.2002
2. Matthew S. Crouse, Robert D.Novak, Richard G.Baraniuk "Wavelet-Based statistical signal processing using Hidden Markov Models" IEEE Trans. on Signal Processing, vol.46, n°4, pp. 886-902, April 1998.
3. L.Clavier, J.M.Boucher " Segmentation of electrocardiograms using a Hidden Markov Model " 18th IEEE Int. Conf. in Medecine and Biology, paper n°927, Oct. 1996.
4. H.Choi. R.G.Baraniuk. ".Multiscale image segmentation using wavelet-domain hidden Markov models ".IEEE Trans. on Image Processing, Vol. 10, n°9, pp. 1309-1321, Sept. 2001