Non-invasive intracranial pressure detection and/or monitoring and use of data with respect thereto. Illustratively, with respect to a method, there can be a method to digitally produce and communicate intracranial pressure data from skull deformation electric signals, the method including: receiving, from at least one sensor, detected skull deformation electric signals at electrical equipment configured to transform and process the skull deformation signals that are received; transforming and processing, by the electrical equipment, the received skull deformation electric signals to produce digital intracranial pressure data; and outputting, by the electrical equipment, the digital intracranial pressure data via an output device operably associated with the electrical equipment to render the digital intracranial pressure data.

Disclosed herein are systems and methods for non-invasively predicting a hemodynamic state and/or an anesthetic depth of a patient, such as a pediatric patient. The method may include receiving a peripheral venous pressure (PVP) waveform from the patient, cleaning the PVP waveform, transforming the PVP waveform into the frequency domain, and automatically predicting the hemodynamic state and/or the anesthetic depth of the patient.

An apparatus comprises a data processing unit and a stimulator. The data processing unit receives first electroencephalographic data based on a measurement of a brain of a person exposed to one or more estimated or measured non-zero amounts of anesthetic drug substance. The data processing unit performs a first comparison between the first electroencephalographic data and corresponding data of a reference brain function, and outputs information about the first comparison. The stimulator provides the brain of the person exposed to the anesthetic drug substance with brain stimulation on the basis of a direct or indirect reception of the information about the first comparison.

The present invention is for a method and system for pain classification and monitoring optionally in a subject that is an awake, semi-awake or sedated.

Electrodes for use in electroencephalographic recording, including consciousness and seizure monitoring applications, have novel features that speed, facilitate or enforce proper placement of the electrodes, including aligning tabs and arrowed aligning juts, color coding, and an insulating bridge between reference and ground electrodes which ensures a safe application distance between the conductive regions of the two electrodes in the event of cardiac defibrillation or to prevent shorting between the adjacent electrodes by preventing the conductive path to be shared. A method of using a set of four such electrodes is also disclosed.

Methods and related systems for modulating neural activity by cyclically modulating neural activity in peripheral neural structures are disclosed. Neural activity may be modulated cyclically by stimuli delivered via various types of stimulus sources. In an aspect, activity of a sensory nerve is modulated. Neural modulation may be used, for example, to modulate an undesired sensation, such as pain, or an immune or inflammatory response or process. Delivery of stimuli for modulating neural activity may be controlled in part in response to an input from a user input device.

Systems and methods for inducing natural sleep in a subject is provided. In some aspects, the method includes inducing a first sleep state; monitoring a first plurality of characteristics of a brain of the subject to verify the subject is in the first sleep state; inducing a second sleep state after the subject has been in the first sleep state for a predetermined amount of time; and monitoring a second plurality of characteristics of the brain of the subject to verify the subject is in the second sleep state.

A method for detection of an evoked response signal in noise including: generating a plurality of stimuli; receiving a noisy signal related to an evoked response to the plurality of stimuli; divide the noisy signal into a plurality of responses to the plurality of stimuli; estimate a statistic matrix for the plurality of responses; shrink the statistic matrix; calculate weights based on an inverse of the shrunk statistic matrix; apply weights to the plurality of responses to construct a final response; and output the final response. An apparatus having an input device configured to receive data related to a plurality of stimuli; and a processor configured to: receive a noisy signal and divide the noisy signal into a plurality of responses; estimate a statistic matrix; shrink the statistic matrix; calculate weights based on an inverse of the shrunk statistic matrix; and apply weights to the plurality of responses to construct a final response.

A first medical device can receive a physiological parameter value from a second medical device. The second physiological parameter value may be formatted according to a protocol not used by the first medical device such that the first medical device is not able to process the second physiological parameter value to produce a displayable output value. The first medical device can pass the physiological parameter data from the first medical device to a separate translation module and receive translated parameter data from the translation module at the first medical device. The translated parameter data can be processed for display by the first medical device. The first medical device can output a value from the translated parameter data for display on the first medical device or an auxiliary device.

The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub includes configurable medical ports and serial ports for communicating with other medical devices in the patient's proximity. Moreover, the hub communicates with a portable patient monitor. The monitor, when docked with the hub provides display graphics different from when undocked, the display graphics including anatomical information. The hub assembles the often vast amount of electronic medical data, associates it with the monitored patient, and in some embodiments, communicates the data to the patient's medical records.