41 results about "Eeg recording" patented technology

Described herein are methods and systems for using EEG recordings to improve vagus nerve stimulation (VNS) therapy. In particular, described herein are methods and systems for using EEG recordings to detect P300 and/or activation of the nucleus basalis and/or the locus coeruleus to determine the efficacy of VNS. The EEG recordings can be used to provide feedback control to help optimize stimulation parameters and to screen for patients that respond well to VNS therapy.

A means and method for inducing a temporary physiological state-of-mind to effect persistent changes to the cognitive-emotive profile of an individual, which is adaptable for neurofeedback and “mental-state” therapeutic and non-therapeutic interventions. The system comprises an EEG Recording Module (ERM), a Neurodynamics Assessment Module (“NAM”), and a Transcranial Magnetic Stimulation module (“TMS”) for acquiring and manipulating bioelectrical and/or EEG data, defining a cognitive-emotive profile, and mapping the cognitive-emotive profile to selectively control transcranial magnetic stimulation to drive therapeutic and non-therapeutic stimulus interventions. A bi-directional feedback feature is provided to further enhance the performance of the system to effect prolonged changes.

A method and system for a user interface for artifact removal in an EEG is disclosed herein. The invention allows an operator to select a plurality of artifacts to be automatically removed from an EEG recording using a user interface. The operator pushes a button on the user interface to apply a plurality of filters to remove the plurality of artifacts from the EEG and generate a clean EEG for viewing.

A hearing assistance system comprises an input unit for providing electric input sound signals u i , each representing sound signals U; from a multitude n u of sound sources S i , an electroencephalography (EEG) system for recording activity of the auditory system of the user's brain and providing a multitude ny of EEG signals yj , and a source selection processing unit receiving said electric input sound signals ui and said EEG signals yj , and in dependence thereof configured to provide a source selection signal Sx indicative of the sound source Sx that the user currently pays attention to using a selective algorithm that determines a sparse model to select the most relevant EEG electrodes and time intervals based on minimizing a cost function measuring the correlation between the individual sound sources and the EEG signals, and to determine the source selection signal Sx based on the cost functions obtained for said multitude of sound sources.

A method and system for analyzing EEG data is disclosed herein. A processed EEG recording is analyzed to produce a parameter for the EEG. The EEG is analyzed to organize a plurality of detections by spike focus, to determine a relative frequency based on a count of detections by spike focus, to average a plurality of detections by spike focus, and the like.

Described are methods and a device for determining a valid intrinsic alpha frequency. Described herein are methods and a device for determining the appropriate intrinsic alpha frequency (IAF) to be applied for neuro-EEG synchronization therapy using alternating magnetic fields to gently “tune” the brain and affect the mood, focus and cognition of subjects. Methods and a device described herein use an algorithm to quantitatively analyze EEG recordings to determine if recorded EEG frequencies are valid, and if necessary, requiring additional recordings and analysis until a valid EEG is found. Methods and devices described herein can be utilized to calculate the intrinsic frequency of other EEG bands, including the Theta, Beta Gamma and Delta bands.

A system and method for calculating a quantitative EEG is disclosed herein. The present invention achieves a level of artifact reduction that the QEEG is now practical on a continuous monitoring basis since artifact reduction is continuously applied to an EEG recording.

Improved electrode assemblies for recording and stimulation. Cortical and depth electrode structures are provided as well as inline interconnection systems. Methods of manufacture are further taught to provide enhanced surfaces for cortical electrodes. The inline interconnection systems include connector assembly embodiments for electrode leads which have structure providing ease of EEG recording as well as stimulation.

The present invention relates a novel system and method to diagnose and predict systemic disorders including brain disorders and mental states in early stage and more accurately. More particularly, this invention relates to a novel method of EEG recording and processing through which multiple output data streams are taken together from a system like brain and the structure of their correlation matrix is studied through its eigenvector, eigendirection and eigenspaces and other signal processing techniques including compression sensing, wavelet transform, fast fourier transform etc.

The invention provides an experimental training device for multi-gesture stretching and grasping in three-dimensional space, which mainly includes a three-dimensional electric slide table, a grasping object component, a button switch, a data acquisition card, an EEG signal recording system, an optical motion capture system and PC. The device of the present invention can realize the multi-gesture stretching and grasping action at any position in three-dimensional space; it can simultaneously record the EEG signal, the movement track of the arm and the experimental state of the subject in the process of performing the task, and provide a time-aligned three-dimensional In the training process, the training mode and training parameters can be adjusted in real time on the PC according to the learning progress of the subjects to improve the training efficiency; the entire experimental process is automatically controlled by the PC to reduce manual participation. The invention can realize arbitrary combination of various grasping gestures and arbitrary spatial positions, realize fully automatic control of experiments, and simultaneously record three kinds of data of electroencephalogram signal, arm movement trajectory and experimental state.

A system and method to facilitate the analysis of long-term scalp EEG recordings and the investigation of underlying epileptogenicity. Pathological high frequency oscillations are identified and extracted from the EEG recordings and electrophysiological source imaging is used to reconstruct cortical activity, which can be used as an aid in surgical resection for the treatment of epilepsy.

The present invention relates a novel system and method for person identification and personality assessment based on electroencephalography (EEG) signal. More particularly, this invention relates to a novel method of EEG recording and processing to map the inherent and unique properties of brain in the form of highly specific brain signature to be used as means for person identification and personality assessment.

The disclosed apparatus, systems and methods relate to diagnosing Parkinson's disease from electroencephalography (EEG) data. Embodiments herein have practical applications, including diagnosing Parkinson's disease. The methods and systems of the various implementations herein generate a diagnostic index which reflects the probability of the patient having Parkinson's disease. It uses a novel feature extraction method based on Linear Predictive Coding (LPC) which is used to extract Parkinson's disease related features from EEG recordings of the patient and a novel classification method based on Principal Component Analysis (PCA) is used to calculate the diagnostic index from these features.