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Fig. 1 | BMC Anesthesiology

Fig. 1

From: Machine learning approach for predicting post-intubation hemodynamic instability (PIHI) index values: towards enhanced perioperative anesthesia quality and safety

Fig. 1

Sequences of hemodynamic characteristics around intubation and the calculated ICV values. Plots were generated by using the anesthesia monitoring data of 5 specific patients. In A, B and C, the sequences of the systolic pressure, diastolic pressure and heart rate of the 5 patients are presented with a time step of 10 seconds. The time of intubation is plotted as a dotted line to distinguish the pre- and postintubation periods. The calculated ICV values of the patients, as the anesthetic risk index of PIHI, are provided in D. BPM beats per minute, ICV integrated coefficient of variance

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BMC Anesthesiology

ISSN: 1471-2253

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