Use of hidden markov models for electrocardiographic signal analysis

Hidden Markov modelling (HMM) is a powerful stochastic modelling technique that has been successfully applied to automatic speech recognition problems. We are currently investigating the application of HMM to electrocardiographic signal analysis with the goal of improving ambulatory ECG analysis. Th...

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Veröffentlicht in:	Journal of electrocardiology 1990, Vol.23, p.184-191
Hauptverfasser:	Coast, Douglas A., Cano, Gerald G., Briller, Stanley A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Arrhythmias, Cardiac - diagnosis Computer Simulation Electrocardiography - methods Electrocardiography, Ambulatory - methods Humans Markov Chains Signal Processing, Computer-Assisted
Online-Zugang:	Volltext
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