Abstract: A method of detecting pain in a subject, comprises the steps of generating brain wave data based on brain wave activity of the subject and comparing the brain wave data to reference data to generate result data, the reference data corresponding to at least one of (i) population normative data indicative of brain wave activity of a first plurality of individuals in an absence of pain, (ii) population reference data indicative of brain wave activity of a second plurality of individuals generated in response to pain events inflicted on the second plurality of individuals, (iii) subjective population reference data indicative of brain wave activity of a third plurality of individuals reporting a sensation of pain, and (iv) population of reference data indicative of brain wave activity of a fourth population of individuals following an intervention which has changed a subjective report of pain in combination with determining a presence of pain experienced by the subject as a function of the result data.

Abstract: Methods and systems for assessing brain activity and collecting information related to a subject's condition and brain electrical activity are provided. The methods and systems include collecting and transferring data related to the neurological state of a subject. The systems and methods further include performing a first assessment of the collected data using an assessment device and performing a second assessment of the collected data using a computer. The methods further include comparing the first assessment and the second assessment and recording whether the first assessment and second assessment are consistent.

Abstract: A method of detecting pain in a subject, comprises the steps of generating brain wave data based on brain wave activity of the subject and comparing the brain wave data to reference data to generate result data, the reference data corresponding to at least one of (i) population normative data indicative of brain wave activity of a first plurality of individuals in an absence of pain, (ii) population reference data indicative of brain wave activity of a second plurality of individuals generated in response to pain events inflicted on the second plurality of individuals, (iii) subjective population reference data indicative of brain wave activity of a third plurality of individuals reporting a sensation of pain, and (iv) population of reference data indicative of brain wave activity of a fourth population of individuals following an intervention which has changed a subjective report of pain in combination with determining a presence of pain experienced by the subject as a function of the result data.

Abstract: A method for monitoring anesthetization of a patient, includes the steps of removably connecting a plurality of electrodes to the scalp of the patient and administering sufficient anesthesia to the patient so that the patient attains a plane of anesthesia selected by an operator. The brain waves of the patient are then amplified and digitized after the patient has been anesthetized, before beginning the medical procedure, to obtain a first set of digital data. The brain waves of the patient are then amplified and digitized during the medical procedure to provide a second set of digital data and the first and second sets of digital data are analyzed in at least one of a time domain and a frequency domain. Separate trajectories are then computed from the data analysis trajectories for at least two different indices of an anesthetic state of the patient during the medical procedure, the indices being selected from a group including a Depth Index (DI), a Memory Index (MI) and a Pain Index (PI).

Abstract: A method of detecting pain in a subject, comprises the steps of generating brain wave data based on brain wave activity of the subject and comparing the brain wave data to reference data to generate result data, the reference data corresponding to at least one of (i) population normative data indicative of brain wave activity of a first plurality of individuals in an absence of pain, (ii) population reference data indicative of brain wave activity of a second plurality of individuals generated in response to pain events inflicted on the second plurality of individuals, (iii) subjective population reference data indicative of brain wave activity of a third plurality of individuals reporting a sensation of pain, and (iv) population of reference data indicative of brain wave activity of a fourth population of individuals following an intervention which has changed a subjective report of pain in combination with determining a presence of pain experienced by the subject as a function of the result data.

Abstract: Method for determining anesthesia dosage includes following steps. First Interventional Agent (“FIA”) is administered to Patient at a first rate to achieve First Predetermined Plane of Anesthesia (“FPPA”). Brain waves of Patient are analyzed to formulate First Set of Data (“FSD”) corresponding to a self-norm during administration of FIA. First transfer function corresponding to patient biochemical reactions to FIA is computed from FSD. Rate of administration of FIA to Patient is altered by a selected amount after achievement of FPPA for first time required for Patient to deviate from FPPA by predetermined degree. An altered amount of FIA required to cause the predetermined deviation is determined as difference between amount of FIA that would have been delivered to Patient during first time at the first rate and an amount delivered to Patient during the first time at the altered rate. Patient is administered the altered amount of FIA.

Abstract: A method comprises the steps of obtaining a baseline measurement corresponding to a representation of brain activity from a living body and storing the baseline measurements on a storage device configured to be wearable on the living body in combination with obtaining, at a time subsequent to the baseline measurement, a second measurement representing brain activity from the living body, reading the baseline measurement from the storage device and evaluating the living body based on a comparison of the second measurement to the baseline measurement. A system for analyzing electrical brain activity, the system comprises a component for reading, from a storage medium, data corresponding to a baseline measurement of brain activity of a living body and a component for determining data representing a current brain activity of the living body in combination with a component for evaluating the living body by comparing the baseline measurement data and the current brain activity data.

Abstract: A device and method for assessment of traumatic brain injury (TBI) is described. The device is configured to acquire brain electrical signals from a patient's forehead using one or more neurological electrodes. The acquired brain electrical activity data is subjected to artifact rejection and feature extraction, and a subset of features are then combined in at least one classifier function. The classifier functions statistically place a patient in one of four categories related to the extent of brain dysfunction: 1) normal brain electrical activity; 2) abnormal brain electrical activity consistent with non-structural injury with less severe manifestations of functional brain injury; 3) abnormal brain electrical activity consistent with non-structural injury with more severe manifestations of functional brain injury; and 4) abnormal brain electrical activity consistent with structural brain injury.

Abstract: A method of building binary classifiers for classification of brain electrical activity data into one or more neurological classes is described. The method comprises the steps of extracting quantitative features from the brain electrical activity data, and reducing the pool of extracted features into a computationally manageable and statistically relevant set of features which can then be used for designing one or more classifiers.

Abstract: Described is a method and system which includes a first set of digital data generated by amplifying and digitizing brain waves of a patient before and after administration of initial doses of interventional agents to the patient and a second set of digital data generated by amplifying and digitizing brain waves of the patient during a medical procedure. In addition, the system includes a microprocessor computing separate trajectories for at least two different indices of an anesthetic state of the patient during the medical procedure as a function of a comparison of the first and second sets of digital data, the indices including a Depth Index (DI), a Memory Index (MI) and Pain Index (PI), the DI corresponding to a depth of anesthesia of the patient, the PI corresponding to a sensitivity of the patient to pain and the MI corresponding to an ability of the patient to form and store memories.

Abstract: A device and method for assessment of traumatic brain injury (TBI) is described. The device is configured to acquire brain electrical signals from a patient's forehead using one or more neurological electrodes. The acquired brain electrical activity data is subjected to artifact rejection and feature extraction, and a subset of features are then combined in at least one classifier function. The classifier functions statistically place a patient in one of four categories related to the extent of brain dysfunction: 1) normal brain electrical activity; 2) abnormal brain electrical activity consistent with non-structural injury with less severe manifestations of functional brain injury; 3) abnormal brain electrical activity consistent with non-structural injury with more severe manifestations of functional brain injury; and 4) abnormal brain electrical activity consistent with structural brain injury.

Abstract: A system and method for prediction of cognitive decline, comprises an input receiving input data corresponding to brain activity of an individual and a processor coupled to the input for analyzing the input data to obtain a selected set of features, the processor comparing the selected set of features to at least a portion of entries in a database corresponding to brain activity of a plurality of individuals, wherein entries in the database have been separated into a plurality of categories corresponding to one of a degree of cognitive decline and a propensity for future cognitive decline of individuals relating to the entries, the processor determining, based on the comparison, a category most closely corresponding to the selected set of features.

Abstract: A system and method for analyzing electrophysical signals produced by a brain involves comparing a first selected one of the numerical values to control data including one of a self-norm and a population-norm associated with electrophysical activity in a brain region corresponding to a brain region of origin of the electrophysical activity on which the numerical value is based; calculating a standard score for the brain region of origin based on the comparing; and repeating the comparing and calculating operations for a second selected one of the numerical values, the regions of the brain including subcortical regions extending to a brain stem of the brain.

Abstract: Described is a method and system which includes a first set of digital data generated by amplifying and digitizing brain waves of a patient before and after administration of initial doses of interventional agents to the patient and a second set of digital data generated by amplifying and digitizing brain waves of the patient during a medical procedure. In addition, the system includes a microprocessor computing separate trajectories for at least two different indices of an anesthetic state of the patient during the medical procedure as a function of a comparison of the first and second sets of digital data, the indices including a Depth Index (DI), a Memory Index (MI) and Pain Index (PI), the DI corresponding to a depth of anesthesia of the patient, the PI corresponding to a sensitivity of the patient to pain and the MI corresponding to an ability of the patient to form and store memories.

Abstract: Data corresponding to brain electrical activity of a patient from a QEEG is processed to determine which brain activity data deviates from that of a normative profile. The deviant brain activity data is used to determine a brain state vector (BSV) in a multidimensional brain electrical signal space, wherein the orientation of the BSV indicates the nature of the deviation from a normal state and may be used to prescribe a medicine to the patient and wherein the length of the BSV quantifies the degree of abnormality exhibited by the patient and may indicate the dosage of the medicine to be prescribed to the patient.

Abstract: A method comprises the steps of obtaining a baseline measurement corresponding to a representation of brain activity from a living body and storing the baseline measurements on a storage device configured to be wearable on the living body in combination with obtaining, at a time subsequent to the baseline measurement, a second measurement representing brain activity from the living body, reading the baseline measurement from the storage device and evaluating the living body based on a comparison of the second measurement to the baseline measurement. A system for analyzing electrical brain activity, the system comprises a component for reading, from a storage medium, data corresponding to a baseline measurement of brain activity of a living body and a component for determining data representing a current brain activity of the living body in combination with a component for evaluating the living body by comparing the baseline measurement data and the current brain activity data.

Abstract: A system and method includes administering interventional agents to Patient until Patient attains a predetermined plane of anesthesia; amplifying and digitizing brain waves of Patient before and after administering step to generate first set of digital data; amplifying and digitizing brain waves of Patient during a medical procedure to generate second set of digital data; computing separate trajectories for at least two different indices of an anesthetic state of Patient during the medical procedure using a comparison of first and second sets (the indices including Depth Index (DI)—a depth of anesthesia, Memory Index (MI)—an ability to form and store memories, and Pain Index (PI)—sensitivity to pain); and determining an amount of at least one of the interventional agents to be delivered to Patient as a function of the trajectories, the interventional agents include anesthetic, analgesic and/or amnesic agents corresponding to DI, MI and/or PI trajectories.

Abstract: A method for assessing an effect of a therapeutic agent, comprises the steps of detecting brain electrical activity of a subject to generate a first set of brain wave data and extracting from the first set of brain wave data first data features sensitive to a neurological disorder in combination with the steps of comparing the first data features to control data to define a baseline profile of brain electropathophysiology and computing one of a first classifying score and a first discriminant score based on the baseline profile to estimate a probability that the baseline profile corresponds to a predetermined pathophysiological condition.

Abstract: A system and method includes administering interventional agents to Patient until Patient attains a predetermined plane of anesthesia; amplifying and digitizing brain waves of Patient before and after administering step to generate first set of digital data; amplifying and digitizing brain waves of Patient during a medical procedure to generate second set of digital data; computing separate trajectories for at least two different indices of an anesthetic state of Patient during the medical procedure using a comparison of first and second sets (the indices including Depth Index (DI)—a depth of anesthesia, Memory Index (MI)—an ability to form and store memories, and Pain Index (PI)—sensitivity to pain); and determining an amount of at least one of the interventional agents to be delivered to Patient as a function of the trajectories, the interventional agents include anesthetic, analgesic and/or amnesic agents corresponding to DI, MI and/or PI trajectories.

Abstract: A device and method for assessment of traumatic brain injury (TBI) is described. The device is configured to acquire brain electrical signals from a patient's forehead using one or more neurological electrodes. The acquired brain electrical activity data is subjected to artifact rejection and feature extraction, and a subset of features are then combined in at least one classifier function. The classifier functions statistically place a patient in one of four categories related to the extent of brain dysfunction: 1) normal brain electrical activity; 2) abnormal brain electrical activity consistent with non-structural injury with less severe manifestations of functional brain injury; 3) abnormal brain electrical activity consistent with non-structural injury with more severe manifestations of functional brain injury; and 4) abnormal brain electrical activity consistent with structural brain injury.