Abstract: A headset for detecting brain electrical activity may include a flexible substrate having first and second ends each configured to engage an ear of a subject and dimensioned to fit across the forehead of a subject. The headset may also include a plurality of electrodes disposed on the substrate and configured to contact the subject when the headset is positioned on the subject. First and second electrodes may contact top center and lower center regions of the forehead, respectively, third and fourth electrodes may contact front right and front left regions of the forehead, respectively, fifth and sixth electrodes may contact right side and left side regions of the forehead, respectively, and electrodes included within the securing devices may contact the ear regions. The third and fourth electrodes may be moveable in at least a vertical direction relative to the other electrodes.

Abstract: A system and method for performing monitoring of anesthesia and sedation in a patient includes a patient sensor integrating EEG, pulse oximetry, ECG, and AEP signal inputs, integrated analog hardware, digital hardware, and a digital signal processing system that executes a selected algorithm to process received signals representative of a patient's condition, and which generates an index value associated with said patient condition.

Abstract: A method of building classifiers for multimodal neurological assessment is described. The method comprises the steps of extracting quantitative features from a plurality of physiological and neurocognitive assessments, and selecting a subset of features from the extracted pool of features to construct multimodal classifiers. A device for performing point-of-care multimodal neurological assessment is also described.

Abstract: Systems and methods for assessing a patient's neurologic state based on auditory evoked responses are provided.

Abstract: Systems and methods for assessing a patient's neurologic state based on auditory evoked responses are provided.

Abstract: A system for delivering health information is provided. The system comprises at least one apparatus configured to receive information related to a condition of a patient. The analysis system further comprises a reception system configured to receive data related to the patient's condition and a processor configured to assess a condition of a patient and to identify a data set including information related to the patient's condition. The system also comprises a communication system configured to communicate the data set to a user.

Abstract: Methods and systems for assessing brain activity and collecting information related to a patient's condition and brain electrical activity are provided.

Abstract: Systems and methods for automatically identifying segments of EEG signals or other brain electrical activity signals that contain artifacts, and/or editing the signals to remove segments that include artifacts

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 headset for detecting brain electrical activity is disclosed. The headset may have a flexible band having a first end and a second end. The flexible band may have at least one expansible region permitting a distance between the first end and the second end to selectably vary. The headset may also have flexible circuitry in the flexible band. The flexible circuitry may be operatively connected to at least one sensor configured to sense brain electrical activity. The headset may further have a stimulus emitter coupled to the flexible band.

Abstract: A disposable electrode array 100, 200 including a flexible member 106, 206 in which a plurality of electrodes 102, 202 are disposed, having a shape adapted to contact the forehead skin surface on a human patient. A pair of ear loops 104, 204 coupled to the disposable electrode array 100, 200 secure the disposable electrode array 100, 200 about the patient's ears, with the flexible member 106, 206 disposed across the patient's bow, retaining the electrodes 102, 202 against the skin surface. Additional electrodes 102, 202 are disposed in proximity to the ear loops 104, 204 and are configured to contact the skin surface behind the patient's ears. An auditory stimulus delivery element 116, 216 is coupled with each of the ear loops 104, 204, and positioned to seat in proximity to the patient's ear canal for the delivery of auditory stimulus.

Abstract: Systems and methods for automatically identifying segments of EEG signals or other brain electrical activity signals that contain artifacts, and/or editing the signals to remove segments that include artifacts.

Abstract: A method and apparatus for providing objective assessment of the brain state of a subject using a field portable device. The method includes placing an electrode set coupled to a handheld base unit on the subject's head, acquiring electrical brain signals from the subject through the electrode set, processing the acquired electrical brain signals using a feature extraction algorithm, classifying the extracted features into brain states, computing brain abnormality indices reflecting the probability of correct classification of brain state, and graphically displaying the classification result and the abnormality indices on the handheld base unit.

Abstract: A system and method of signal processing using linear or non-linear signal transformation and fractal dimension based analysis. Using a transform process (i.e. wavelet transform, Fourier transform, ICA transform, etc.), a signal is decomposed into a series of coefficients or components. Within this transform domain, fractal dimensions of the components are computed. The components with fractal dimensions higher than a pre-determined threshold are then selectively processed. A modified signal is reconstructed using inverse transform of the signal components.

Abstract: A method and apparatus for performing rapid brain assessment may provide emergency triage to head trauma patients by analyzing a combination of spontaneous and evoked brain potentials. The spontaneous and evoked potentials are analyzed, and the results classified, to present a real-time assessment of a patient's brain, diagnosing any potential abnormalities therein.

Abstract: A method and apparatus for providing an on-site diagnosis of a subject to determine the presence and/or severity of a concussion is provided. The method includes placing an electrode set coupled to a handheld base unit on the subject's head, acquiring brain electrical signals from the subject through the electrode set, processing the acquired brain electrical signals using a signal processing algorithm stored in a memory of the base unit, determining the presence and/or severity of a concussion from the processed signals, indicating the presence and/or severity of a concussion on the handheld base unit, and determining a course of treatment for the subject based on the indication.