Abstract: 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.

Abstract: A system for monitoring hemodynamic data of a patient and providing a risk score representative of a likelihood of a right ventricular dysfunction event includes at least two hemodynamic sensors, a system memory, a user interface display, and a hardware processor. The hardware processor executes a right ventricular prediction software code stored within the system memory to receive hemodynamic data representative of a right ventricular pressure waveform of the patient and at least one of a pulmonary artery pressure waveform, a tissue oxygen saturation, a mixed venous oxygen saturation, and a cardiac output of the patient. Based on the hemodynamic data, the system determines and outputs the risk score to the display.

Abstract: A method for monitoring arterial pressure of a patient and warning medical personnel of current nociception of the patient includes the hemodynamic monitor receiving sensed hemodynamic data representative of an arterial pressure waveform of the patient. The hemodynamic monitor performs waveform analysis of the sensed hemodynamic data to calculate a plurality of signal measures. Detection input features, hemodynamic drug detection input features, and stable detection input features are extracted from the plurality of signal measures. A first probability is determined based on the detection input features and the hemodynamic drug detection input features. A second probability is determined based on the detection input features and the stable detection input features. The hemodynamic monitor compares the second probability with the first probability to determine an output probability of the current nociception of the patient.

Abstract: A method for identifying physiological states of a patient includes receiving, by a hemodynamic monitor, sensed hemodynamic data representative of an arterial pressure waveform of the patient; performing, by the hemodynamic monitor, waveform analysis of the hemodynamic data to determine a plurality of profiling parameters; extracting, by the hemodynamic monitor, a patient data segment comprising a patient data set for a first profiling parameter of the plurality of profiling parameters; comparing, by the hemodynamic monitor, the patient data segment to a plurality of stored data segments from a database, each of the plurality of stored data segments having an associated stored discrete state data set indicative of whether a clinical intervention was administered and a stored data set for the first profiling parameter; identifying, by the hemodynamic monitor, a plurality of stored data segments satisfying threshold similarity criteria with respect to the patient data segment; and displaying, by the hemodynamic

Abstract: A hemodynamic monitor for detecting nociception of a patient includes a non-invasive blood pressure sensor with an inflatable blood pressure bladder, a pressure controller pneumatically connected to the inflatable blood pressure bladder, and an optical transmitter and an optical receiver that are electrically connected to the pressure controller. The hemodynamic monitor also includes an integrated hardware unit with a system processor, a system memory, and a display with a user interface.