inria-00170988, version 1
A Support System for ECG Segmentation Based on Hidden Markov Models
29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - IEEE EMBC 2007 (2007) 4 pages
- a – Cardiabase
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INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL) France
Bibliographic reference
- Type of document: Peer-reviewed conferences/proceedings
- Domain:
Computer Science/Artificial Intelligence Life Sciences/Human health and pathology/Cardiology and cardiovascular system - Title: A Support System for ECG Segmentation Based on Hidden Markov Models
- Abstract: Pharmaceutic studies require to analyze thousands of ECGs in order to evaluate the side effects of a new drug. In this paper we present a new support system based on the use of probabilistic models for automatic ECG segmentation. We used a bayesian HMM clustering algorithm to partition the training base, and we improved the method by using a multi-channel segmentation. We present a statistical analysis of the results where we compare different automatic methods to the segmentation of the cardiologist as a gold standard.
- Full text language: English
- Publication date: 2007
- Audience: international
- Conference title: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - IEEE EMBC 2007
- Conference city: Lyon
- Country: France
- Conference date: 2007-08-23
- Commercial editor: IEEE
- Volume title : 29th IEEE EMBS Annual International Conference, August 23-26, 2007, Cité Internationale, Lyon, France
- Pagination: 4 pages
- Comment: Scheduled for presentation during the Poster Session "Signal Pattern Classification in Biomedical Signals V" (FrP2A1)
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thomas-rose-07.pdf |
- inria-00170988, version 1
- http://hal.inria.fr/inria-00170988
- oai:hal.inria.fr:inria-00170988
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- Submitted on: Tuesday, 11 September 2007 10:46:49
- Updated on: Wednesday, 19 September 2007 11:16:58




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