Pau Micó

Orcid: 0000-0002-8089-8329

According to our database1, Pau Micó authored at least 13 papers between 2004 and 2011.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2011
Computer Graphics: From Desktop to Mobile and Web.
IEEE Computer Graphics and Applications, 2011

2010
Automatic segmentation of long-term ECG signals corrupted with broadband noise based on sample entropy.
Comput. Methods Programs Biomed., 2010

Computer Graphics for Information System Programmers.
Proceedings of the 31st Annual Conference of the European Association for Computer Graphics, 2010

2009
Using the Wavelet Transform for T-wave alternans detection.
Math. Comput. Model., 2009

Enhanced modified moving average analysis of T-wave alternans using a curve matching method: a simulation study.
Medical Biol. Eng. Comput., 2009

Pattern recognition in cardiac magnetic resonance images using the generalized Fuzzy Hough transform.
Proceedings of the IADIS International Conference Applied Computing 2009, 2009

Clinical decision support system for cardiac viability diagnosis using neural networks.
Proceedings of the IADIS International Conference Applied Computing 2009, 2009

Using processing.org in an Introductory Computer Graphics Course.
Proceedings of the 30th Annual Conference of the European Association for Computer Graphics, 2009

2007
Unsupervised classification of ventricular extrasystoles using bounded clustering algorithms and morphology matching.
Medical Biol. Eng. Comput., 2007

2005
Segmentation of Nanocolumnar Crystals from Microscopic Images.
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Clustering Improvement for Electrocardiographic Signals.
Proceedings of the Image Analysis and Processing, 2005

2004
Preclustering of Electrocardiographic Signals Using Left-to-Right Hidden Markov Models.
Proceedings of the Structural, 2004

Morphology Analysis of Physiological Signals Using Hidden Markov Models.
Proceedings of the 17th International Conference on Pattern Recognition, 2004


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