Novel characterization method of impedance cardiography signals using time-frequency distributions.
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 Four...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 10; pp. 1757 - 1771 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=131861012&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 131861012 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Oct2018 vid: 56 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 131861012 131861012 NLM29546504 10.1007/s11517-017-1776-x NLM29546504 131861012 ppf: 1757 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Novel characterization method of impedance cardiography signals using time-frequency distributions. aug: au: Escrivá Muñoz, Jesús Pan, Y. Ge, S. Jensen, E. W. Vallverdú, M. affil: Biomedical Engineering Research Center, CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Universitat Politècnica de Catalunya, Barcelona, Spain sug: subj: Algorithms Signal Processing, Computer Assisted Cardiography, Impedance Middle Age Aged Adult Time Factors Scales Middle Aged: 45-64 years Aged: 65+ years Adult: 19-44 years ab: 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 database. The resulting optimized TFD kernels are presented with their performance calculated using newly proposed methods. The procedure explained in this work showcases a new method to select an appropriate kernel for ICG signals and compares the performance of different time-frequency kernels found in the literature for the case of ICG signals. We conclude that, for ICG signals, the performance (P) of the spectrogram with either Hanning or Hamming windows (P = 0.780) and the extended modified beta distribution (P = 0.765) provided similar results, higher than the rest of analyzed kernels. Graphical abstract Flowchart for the optimization of time-frequency distribution kernels for impedance cardiography signals. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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