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Novel characterization method of impedance cardiography signals using time-frequency distributions

Autor
Escrivá, J.; Pan, Y.; Ge, S.; Jensen, E.W.; Vallverdu, M.
Tipus d'activitat
Article en revista
Revista
Medical & biological engineering & computing
Data de publicació
2018-10-01
Volum
56
Número
10
Pàgina inicial
1757
Pàgina final
1770
DOI
https://doi.org/10.1007/s11517-017-1776-x Obrir en finestra nova
Projecte finançador
Development of a system for monitoring the responses to nociceptive stimuli during anesthesia based on neurophysiological signals
Repositori
http://hdl.handle.net/2117/116358 Obrir en finestra nova
URL
https://link.springer.com/article/10.1007/s11517-017-1776-x Obrir en finestra nova
Resum
The purpose of this document is to describe a methodology to select the most adequate time-frequency distribution (TFD) kernel for the characterization of impedance cardiography signals (ICG). The predominant ICG beat was extracted from a patient and was synthetized using time-frequency variant Fourier approximations. These synthetized signals were used to optimize several TFD kernels according to a performance maximization. The optimized kernels were tested for noise resistance on a clinical da...
Citació
Escrivá, J., Pan, Y., Ge, S., Jensen, E.W., Vallverdu, M. Novel characterization method of impedance cardiography signals using time-frequency distributions. "Medical & biological engineering & computing", 16 Març 2018, p. 1-14.
Paraules clau
Impedance cardiography, Time-frequency distributions
Grup de recerca
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Centre de Recerca en Enginyeria Biomedica

Participants

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