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

Author
Escrivá, J.; Pan, Y.; Ge, S.; Jensen, E.W.; Vallverdu, M.
Type of activity
Journal article
Journal
Medical and biological engineering and computing
Date of publication
2018-10-01
Volume
56
Number
10
First page
1757
Last page
1770
DOI
https://doi.org/10.1007/s11517-017-1776-x Open in new window
Project funding
Development of a system for monitoring the responses to nociceptive stimuli during anesthesia based on neurophysiological signals
Repository
http://hdl.handle.net/2117/116358 Open in new window
URL
https://link.springer.com/article/10.1007/s11517-017-1776-x Open in new window
Abstract
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...
Citation
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", Octubre 2018, p. 1757-1770.
Keywords
Impedance cardiography, Time-frequency distributions
Group of research
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Biomedical Engineering Research Centre

Participants

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