Abstract: A system and method for monitoring a patient experiencing an administration of at least one anesthetic drug. In certain embodiments, the method includes arranging sensors configured to acquire physiological data from a patient and reviewing the physiological data from the sensors and an indication received from an input. The method also includes assembling the physiological data into sets of time-series data and determining, from the sets of time-series data, a first set of signals in a first frequency range and a second set of signals in a second frequency range, the first set of signals describing a transient oscillation signature and the second set of signals describing a target wave signature. The method further includes identifying, using the transient oscillation and target wave signatures, a degree of sedation consistent with the administration of the anesthetic drug, and generating a report indicative of the degree of sedation induced by the drug.

Abstract: A system and method for monitoring a patient includes a sensor configured to acquire physiological data from a patient and a processor configured to receive the physiological data from the at least one sensor. The processor is also configured to apply a spectral estimation framework that utilizes structured time-frequency representations defined by imposing, to the physiological data, a prior distributions on a time-frequency plane that enforces spectral estimates that are smooth in time and sparse in a frequency domain. The processor is further configured to perform an iteratively re-weighted least squares algorithm to perform yield a denoised time-varying spectral decomposition of the physiological data and generate a report indicating a physiological state of the patient.

Abstract: A system and method for monitoring and controlling the administration of at least one drug having anesthetic properties are provided. In certain embodiments, 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 low frequency signals, and determining, from the plurality of low frequency signals, at least one of coherence information and synchrony information. The method can also include identifying, using the at least one of the coherence information and the synchrony information, spatiotemporal signatures indicative of at least one of a current state and a predicted future state of the patient consistent with the administration of at least one drug having anesthetic properties and generating a report indicating at least one of the current state and the predicted future state of the patient induced by the drug.

Abstract: Systems and methods for monitoring and/or controlling a brain state of a subject are provided. In certain embodiments, the method includes acquiring physiological data from sensors including electrophysiological sensors and optical sensors, assembling, using data from the electrophysiological sensors, a time-series signal indicative of a brain activity of the subject, and identifying, using the time-series signal, a burst suppression state described by a burst suppression period and a burst period. The method also includes computing, using data from the optical sensors, parameters associated with the burst suppression state, the parameters indicative of least one of a metabolic process and a hemodynamic process, and estimating, using the parameters, time-series signal, and burst period, a response function describing a time course of the parameters correlated with a burst during the burst suppression period.

Abstract: A method and system for determining the state of a patients brain under anesthesia. The present invention recognizes that anesthesia compounds induce different signatures in physiological characteristics of the patient under anesthesia and aids interpretation of physiological characteristics and signatures therein based on a selected anesthesia compound. The present invention aids the monitoring and/or interpreting of the physiological characteristics to a state of the patient's brain.

Abstract: A system and method for monitoring and controlling the administration of at least one drug having anesthetic properties are provided. The method includes arranging a plurality of sensors configured to acquire physiological data from a patient and reviewing the physiological data from the plurality of sensors and an indication from a user interface. The method also includes assembling the physiological data into sets of time-series data and analyzing the sets of time-series data to determine signature profiles consistent with the administration of at least one drug. The method further includes identifying, using signature profiles, at least one of a current state and a predicted future state of the patient, controlling the administration of the least one drug to attain the predicted future state, and then generating a report including information regarding at least one of the current state and the predicted future state of the patient induced by the drug.

Abstract: Methods, systems and arrangements are provided for obtaining electroencephalograph (“EEG”) EEG signals from a patient e.g., during a concurrent EEG/MRI examination of the patient. The methods, systems and arrangements include a cap made of conductive inks with sensor positions for attaching a plurality of sensors to the patient's head. The sensors can include electrodes as well as motion sensors for improving EEG signal quality and MRI image quality in the presence of motion noise and other artifacts within the MRI environment. The electrodes may be composed of conductive inks, and can be used in high magnetic fields due to a weak interaction with the RF fields generated by the MRI scanner. The exemplary methods, systems and arrangements can achieve lower SAR and lower temperature increase, as compared to conventional electrodes.