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Hesar et al., 2017 - Google Patents

An adaptive particle weighting strategy for ECG denoising using marginalized particle extended Kalman filter: An evaluation in arrhythmia contexts

Hesar et al., 2017

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Document ID
7197383442737968180
Author
Hesar H
Mohebbi M
Publication year
Publication venue
IEEE Journal of Biomedical and Health Informatics

External Links

Snippet

Model-based Bayesian frameworks have a common problem in processing electrocardiogram (ECG) signals with sudden morphological changes. This situation often happens in the case of arrhythmias where ECGs do not obey the predefined state models …
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Classifications

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    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/046—Detecting fibrillation
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