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Figure 6 | Critical Care

Figure 6

From: Temperature variability analysis using wavelets and multiscale entropy in patients with systemic inflammatory response syndrome, sepsis, and septic shock

Figure 6

Continuous wavelet transformation (CWT) of temperature curves in two patients with sepsis and septic shock. The figure depicts two examples of CWT of temperature recordings from a patient with VAP and sepsis (a) and from someone with pancreatitis and septic shock (b). The three-dimensional plots include absolute wavelet coefficients, time (minutes), and frequency (Hz). The third dimension (amplitude) that corresponds to the wavelet coefficient is represented by a color palette in which blue-violet is the minimal value, and purple-red is the maximal value. The wavelet coefficients are relative to the signal under study and provide information regarding its variability within a frequency band (scale). Coefficients in very-low and ultra-low-frequency ranges in case (a) seem increased in relation to case (b). Moreover, an apparent irregularity of coefficients' distribution exists in the first compared with the second graph, indicating reduced complexity and reduced amount of inputs on temperature regulation within very-low and ultra-low frequencies in the patient with septic shock.

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