The invention relates to administration of clinical anesthesia. Particular embodiments provide systems and methods for controlled delivery of a combination of an analgesic agent and a hypnotic agent. More specifically, the invention relates to closed-loop control systems/methods for automatically controlling the administration of a combination of a hypnotic agent and an analgesic agent in a clinical anesthesia setting which incorporate feedback based on one or more indirect measures/indicia of analgesia. The invention further relates to such control systems/methods that account for limitations of such indirect measures/indicia of analgesia.

A system and method for monitoring a patient suspected of experiencing a state of unconsciousness are provided. In certain aspects, the method includes assembling physiological data, obtained from a plurality of sensors placed on a subject, into sets of time-series data, separating, from the sets of time-series data, a plurality of electroencephalogram signals, and determining, from the plurality of electroencephalogram signals, at least one of frequency information and amplitude information. The method can also include identifying, using the at least one of the frequency information and the amplitude information, spatiotemporal signatures indicative of a likelihood of arousing the patient to consciousness by applying an external stimulus and generating a report indicating the likelihood of arousing the patient to consciousness by applying the external stimulus.

The present invention disclosed a device and method for assessing in real time the hypnotic and analgesic effect in a subject during wakefulness, sedation and general anaesthesia via drug interactions and physiological signals. In a preferred embodiment of the present invention, the analgesic and hypnotic effect of drug(s) infused in a subject could be accurately assessed in real time through the device and method disclosed in the present invention, comprising steps of receiving data from electroencephalography (EEG) device, receiving data from brain impedance tomography device, obtaining pharmacodynamic and pharmacokinetic parameters of drug(s) infused in the subject, defining initial indices of consciousness and nociception as a function of said EEG and brain impedance tomography data, and generating output of final indices of consciousness and nociception in real time from processing input of EEG, brain tomography and drug interaction data using established mathematical manipulation.

Providing an indication of a state of awareness for a patient includes arranging data of an EEG power spectrogram to provide power versus frequency in a log-log arrangement; calculating a first best-fit line for a lower frequency region of the EEG power spectrogram, using a processor; and calculating a second best-fit line for a higher frequency region of the EEG power spectrogram. Also, a display device is used to display a density spectral array of the spectrogram using a display scale that ranges between an upper limit and a lower limit, wherein the lower limit is set based on one of the first best-fit line and the second best-fit line.

Apparatus for administering certain nerve blocks includes a sheath constructed from a flexible ultrasound echogenic material, a more rigid introducer/dilator for introducing the sheath into the patient, and an ultrasound echogenic catheter for inserting through the sheath once the distal end of the sheath is in place adjacent the nerve(s) to be blocked and the introducer/dilator has been withdrawn. The catheter has provisions at its proximal end for connecting to a source of local anesthetic. Methods for use of this apparatus are also described.

The provided systems, methods and devices describe lightweight, wireless tissue monitoring devices that are capable of establishing conformal contact due to the flexibility or bendability of the device. The described systems and devices are useful, for example, for skin-mounted intraoperative monitoring of nerve-muscle activity. The present systems and methods are versatile and may be used for a variety of tissues (e.g. skin, organs, muscles, nerves, etc.) to measure a variety of different parameterps (e.g. electric signals, electric potentials, electromyography, movement, vibration, acoustic signals, response to various stimuli, etc.).

The present invention provides a system and method for determining and maintaining a concentration level of medication in a patient sufficient to achieve and maintain a desired effect on that patient. Generally speaking, in accordance with one embodiment of the invention, a medication delivery controller uses a patient response profile to determine a concentration of medication in the patient that will achieve the desired effect on the patient. The patient response profile is a graphical, tabular or analytical expression of the relationship between the concentration of a medication and the effect of the medication at the specific concentration. Using this information, the medication delivery controller provides instructions to a medication delivery unit such as, for example, an infusion pump or inhalation device, to deliver the medication to the patient at a rate that will achieve the desired concentration level of the medication in the patient.

Method, device, system and associated processing logic for providing optimal perioperative nociception management to anesthetized patient, including monitoring a plurality of nociception-related physiological parameters of the patient using at least two non-invasive physiological sensors; combining the plurality of nociception-related physiological parameters into a nociception index value indicative of a level of nociception of the patient, by applying a machine learning algorithm on the plurality of nociception-related physiological parameters and/or features derived therefrom; comparing the nociception index value to a first threshold value indicative of an upper limit of nociceptive-anti-nociceptive balance (NANB) and to a second threshold value indicative of a lower limit of NANB; and providing a treatment or treatment recommendation based on the comparison and on a clinical concern.

A computer-implemented process for measuring brain activity of a subject, including: receiving electroencephalogram (EEG) data representing EEG measurements of electrical brain activity of the subject; and fitting parameters of a neural population model to the EEG data to determine corresponding values of said parameters, including one or more values of an inhibitory postsynaptic potential rate constant (γ.sub.i), where γ.sub.i is representative of states of brain responsiveness, an increase in γ.sub.i relative to a reference value indicating an enhanced state of brain responsiveness, and a decrease in γ.sub.i relative to the reference value indicating a decrease in the state of brain responsiveness.

Monitoring system configured to provide a health chart on an operator display. The health chart includes a plurality of indicators that identify patient parameters. The plurality of indicators form a column that extends parallel to a first axis. The health chart also includes linear projections that are aligned with respective indicators and extend parallel to a second axis that is perpendicular to the first axis. The linear projections represent values of the patient parameters that correspond to the respective indicators. The values are determined by the physiological data obtained from corresponding sensors. The patient monitoring system is configured to determine lengths of the linear projections based on the physiological data. The lengths extend from proximal ends of the linear projections to distal ends of the linear projections. The distal ends move parallel to the second axis toward or away from the respective indicators to change the length.