Cargando…
A new LMS algorithm for analysis of atrial fibrillation signals
BACKGROUND: A biomedical signal can be defined by its extrinsic features (x-axis and y-axis shift and scale) and intrinsic features (shape after normalization of extrinsic features). In this study, an LMS algorithm utilizing the method of differential steepest descent is developed, and is tested by...
Autores principales: | Ciaccio, Edward J, Biviano, Angelo B, Whang, William, Garan, Hasan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3442996/ https://www.ncbi.nlm.nih.gov/pubmed/22449196 http://dx.doi.org/10.1186/1475-925X-11-15 |
Ejemplares similares
-
A new transform for the analysis of complex fractionated atrial electrograms
por: Ciaccio, Edward J, et al.
Publicado: (2011) -
Identification of recurring patterns in fractionated atrial electrograms using new transform coefficients
por: Ciaccio, Edward J, et al.
Publicado: (2012) -
Improved frequency resolution for characterization of complex fractionated atrial
electrograms
por: Ciaccio, Edward J, et al.
Publicado: (2012) -
Software algorithm and hardware design for real-time implementation of new spectral estimator
por: Ciaccio, Edward J, et al.
Publicado: (2014) -
Comparison of spectral estimators for characterizing fractionated atrial electrograms
por: Ciaccio, Edward J, et al.
Publicado: (2013)