Adaptive Parameter Estimation, Modeling and Patient-Specific Classification of Electrocardiogram Signals

Adaptive Parameter Estimation, Modeling and Patient-Specific Classification of Electrocardiogram Signals

abstract: Adaptive processing and classification of electrocardiogram (ECG) signals are important in eliminating the strenuous process of manually annotating ECG recordings for clinical use. Such algorithms require robust models whose parameters can adequately describe the ECG signals. Although diff...

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Bibliographic Details
Other Authors: Edla, Shwetha Reddy (Author)
Format: Doctoral Thesis
Language:English
Published: 2012
Subjects:
Electrical engineering
Adaptive parameter estimation
Bayesian methods
Classification
Electrocardiogram signals
Modeling
Patient-specific
Online Access:http://hdl.handle.net/2286/R.I.16031

Internet

http://hdl.handle.net/2286/R.I.16031

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