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Comparative study of Poincaré plot analysis using short electroencephalogram signals during anaesthesia with spectral edge frequency 95 and bispectral index
Author(s) -
Hayashi K.,
Yamada T.,
Sawa T.
Publication year - 2015
Publication title -
anaesthesia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.839
H-Index - 117
eISSN - 1365-2044
pISSN - 0003-2409
DOI - 10.1111/anae.12885
Subject(s) - bispectral index , poincaré plot , linear regression , statistics , medicine , mathematics , anesthesia , mathematical analysis , heart rate variability , heart rate , sedation , blood pressure
Summary The return or Poincaré plot is a non‐linear analytical approach in a two‐dimensional plane, where a timed signal is plotted against itself after a time delay. Its scatter pattern reflects the randomness and variability in the signals. Quantification of a Poincaré plot of the electroencephalogram has potential to determine anaesthesia depth. We quantified the degree of dispersion (i.e. standard deviation, SD ) along the diagonal line of the electroencephalogram‐Poincaré plot (named as SD 1/ SD 2), and compared SD 1/ SD 2 values with spectral edge frequency 95 ( SEF 95) and bispectral index values. The regression analysis showed a tight linear regression equation with a coefficient of determination (R 2 ) value of 0.904 (p < 0.0001) between the Poincaré index ( SD 1/ SD 2) and SEF 95, and a moderate linear regression equation between SD 1/ SD 2 and bispectral index (R 2 = 0.346, p < 0.0001). Quantification of the Poincaré plot tightly correlates with SEF 95, reflecting anaesthesia‐dependent changes in electroencephalogram oscillation.