Sparse Reconstruction Method for Separating Cardiac and Respiratory Components from Electrical Bioimpedance Measurements

Autor:	Maksim Butsenko, Olev Martens, Andrei Krivosei, Yannick Le Moullec
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	electrical bioimpedance cardiac and respiratory components parameter estimation sparse reconstruction wideband dictionary. Electrical engineering. Electronics. Nuclear engineering TK1-9971
Zdroj:	Elektronika ir Elektrotechnika, Vol 24, Iss 5, Pp 57-61 (2018)
Druh dokumentu:	article
ISSN:	1392-1215 2029-5731
DOI:	10.5755/j01.eie.24.5.21844
Popis:	In this work, we investigate the possibility of employing sparse reconstruction framework for the separation of cardiac and respiratory signal components from the bioimpedance measurements. The signal decomposition is complicated by the nonstationarity of the signal and overlapping of their spectra. The signal has a harmonic structure, which is sparse in the spectral domain. We approach the problem by considering a dictionary with integrated wideband elements describing spectral components of the considered signal. The parameter estimation task is solved by the means of sparse reconstruction where solving the optimization problem returns a sparse vector of relevant dictionary atoms. DOI: http://dx.doi.org/10.5755/j01.eie.24.5.21844
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a05f5d615dd145a1b760b086c8954812 Zobrazit plný text záznamu View record in DOAJ