18818159. NOCICEPTION PREDICTION AND DETECTION USING CUMULATIVE SUM ALGORITHM AND MACHINE LEARNING CLASSIFICATION (EDWARDS LIFESCIENCES CORPORATION)
Contents
NOCICEPTION PREDICTION AND DETECTION USING CUMULATIVE SUM ALGORITHM AND MACHINE LEARNING CLASSIFICATION
Organization Name
EDWARDS LIFESCIENCES CORPORATION
Inventor(s)
Christine Lee of Long Beach CA (US)
Kevin James Moses of Huntington Beach CA (US)
Cristhian M. Potes Blandon of Rancho Santa Margarita CA (US)
Feras Al Hatib of Irvine CA (US)
NOCICEPTION PREDICTION AND DETECTION USING CUMULATIVE SUM ALGORITHM AND MACHINE LEARNING CLASSIFICATION
This abstract first appeared for US patent application 18818159 titled 'NOCICEPTION PREDICTION AND DETECTION USING CUMULATIVE SUM ALGORITHM AND MACHINE LEARNING CLASSIFICATION
Original Abstract Submitted
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.
