NOCICEPTION PREDICTION AND DETECTION USING CUMULATIVE SUM ALGORITHM AND MACHINE LEARNING CLASSIFICATION

A method is disclosed for monitoring arterial pressure of a patient and identifying nociception of the patient. The method includes receiving, by a hemodynamic monitor, sensed hemodynamic data representative of an arterial pressure waveform of the patient. Waveform analysis is performed by the hemodynamic monitor of the sensed hemodynamic data to calculate a first signal measure and a second signal measure. Both the first and second signal measures are processed by the hemodynamic monitor through a cumulative sum (CUSUM) algorithm to acquire a first CUSUM output for the first signal measure and a second CUSUM output for the second signal measure. A nociception event of the patient is detected when a change in the first CUSUM output overlaps in time with a change in the second CUSUM output. A sensory signal is outputted to a user interface of the hemodynamic monitor to warn medical personnel of the nociception event.