Incremental HMM training applied to ECG signal analysis

• Published in: Computers in biology and medicine Vol. 38; no. 6; pp. 659 - 667
• Main Authors: Andreão, Rodrigo V, Muller, Sandra M.T, Boudy, Jérôme, Dorizzi, Bernadette, Bastos-Filho, Teodiano F, Sarcinelli-Filho, Mário
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.06.2008; Elsevier Limited; Elsevier
• Subjects: Algorithms; Databases, Factual; ECG analysis; ECG segmentation; Electrocardiography - statistics & numerical data; Engineering Sciences; HMM adaptation; Humans; Incremental training; Internal Medicine; Ischemia - diagnosis; Likelihood Functions; Markov Chains; Other; Signal and Image processing; Signal Processing, Computer-Assisted; Incremental training; HMM adaptation; ECG analysis; ECG segmentation; HMM adptation

Abstract This work discusses the implementation of incremental hidden Markov model (HMM) training methods for electrocardiogram (ECG) analysis. The HMMs are used to model the ECG signal as a sequence of connected elementary waveforms. Moreover, an adaptation process is implemented to adapt the HMMs...