Adaptive parameter estimation of cardiovascular signals using sequential Bayesian techniques

Parameter estimation of biological signals such as the electrocardiogram (ECG) is of key clinical significance and can be used to monitor cardiac health and diagnose heart diseases. However, statistical ECG models with unknown parameters depend upon a priori parameters such as mean cardiac frequency...

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Bibliographische Detailangaben

Hauptverfasser:	Edla, S, Zhang, J J, Spanias, J, Kovvali, N, Papandreou-Suppappola, A, Chakrabarti, C
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptation model Bayesian methods Electrocardiography Estimation Frequency estimation Harmonic analysis Kalman filters
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