TY - GEN
T1 - Adaptive parameter estimation of cardiovascular signals using sequential Bayesian techniques
AU - Edla, Shwetha
AU - Zhang, Jun Jason
AU - Spanias, John
AU - Kovvali, Narayan
AU - Papandreou-Suppappola, Antonia
AU - Chakrabarti, Chaitali
PY - 2010
Y1 - 2010
N2 - 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 and user-specified parameters such as the number of harmonics in the ECG model. These parameters can vary from patient to patient and with different disease stages. In this paper, we propose a sequential Bayesian tracking method to adaptively select the best cardiac parameters in order to minimize the parameter estimation error. Our results using real ECG data demonstrate the importance of the adaptive algorithm for selecting cardiac parameters at each time instant and show how these parameters can be used to classify different types of ECG signals.
AB - 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 and user-specified parameters such as the number of harmonics in the ECG model. These parameters can vary from patient to patient and with different disease stages. In this paper, we propose a sequential Bayesian tracking method to adaptively select the best cardiac parameters in order to minimize the parameter estimation error. Our results using real ECG data demonstrate the importance of the adaptive algorithm for selecting cardiac parameters at each time instant and show how these parameters can be used to classify different types of ECG signals.
UR - http://www.scopus.com/inward/record.url?scp=79957971743&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957971743&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2010.5757538
DO - 10.1109/ACSSC.2010.5757538
M3 - Conference contribution
AN - SCOPUS:79957971743
SN - 9781424497218
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 374
EP - 378
BT - Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
T2 - 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Y2 - 7 November 2010 through 10 November 2010
ER -