A Reweighted ℓ(1)-Minimization Based Compressed Sensing for the Spectral Estimation of Heart Rate Variability Using the Unevenly Sampled Data

In this paper, a reweighted ℓ(1)-minimization based Compressed Sensing (CS) algorithm incorporating the Integral Pulse Frequency Modulation (IPFM) model for spectral estimation of HRV is introduced. Knowing as a novel sensing/sampling paradigm, the theory of CS asserts certain signals that are consi...

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Detalles Bibliográficos
Autores principales: Chen, Szi-Wen, Chao, Shih-Chieh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055623/
https://www.ncbi.nlm.nih.gov/pubmed/24922059
http://dx.doi.org/10.1371/journal.pone.0099098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055623/
https://www.ncbi.nlm.nih.gov/pubmed/24922059
http://dx.doi.org/10.1371/journal.pone.0099098

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