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» Markov Models for Automated ECG Interval Analysis
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NIPS
2003
13 years 5 months ago
Markov Models for Automated ECG Interval Analysis
We examine the use of hidden Markov and hidden semi-Markov models for automatically segmenting an electrocardiogram waveform into its constituent waveform features. An undecimated...
Nicholas P. Hughes, Lionel Tarassenko, Stephen J. ...
ICTAI
2006
IEEE
13 years 9 months ago
A Multi-HMM Approach to ECG Segmentation
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 approach to automatic ECG segmentatio...
Julien Thomas, Cédric Rose, François...
SAC
2008
ACM
13 years 3 months ago
ECG data provisioning for telehomecare monitoring
The latest computer and communication technologies in combination with an enhanced ECG analysis system can be used to improve cardiac patient's follow-up out-of-hospital. In ...
Bernardo Gonçalves, José Gonç...
ICPR
2004
IEEE
14 years 4 months ago
Morphology Analysis of Physiological Signals Using Hidden Markov Models
We describe a clustering algorithm based on continuous Hidden Markov Models (HMM) to automatically classify both electrocardiogram (ECG) and intracranial pressure (ICP) beats base...
Daniel Novák, Lenka Lhotská, David C...
ICML
2005
IEEE
14 years 4 months ago
A theoretical analysis of Model-Based Interval Estimation
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
Alexander L. Strehl, Michael L. Littman