Improving the transition modelling in hidden Markov models for ECG segmentation: Proceedings of the 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009)

Benoît Frénay, Gaël de Lannoy, Michel Verleysen

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

Fingerprint

Dive into the research topics of 'Improving the transition modelling in hidden Markov models for ECG segmentation: Proceedings of the 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009)'. Together they form a unique fingerprint.

Computer Science

Social Sciences

Psychology

Medicine and Dentistry

Neuroscience