Abstract: A method and a system for processing an electroencephalogram (EEG) signal are provided. The method for processing the EEG signal includes: performing a spike detection on the EEG signal to obtain a spike distribution waveform, performing an instantaneous frequency oscillation energy analysis on the EEG signal to obtain multiple energy distribution waveforms; performing a complexity analysis on the EEG signal to obtain a complexity change waveform, obtaining a determination result of a specified neural waveform based on the spike distribution waveform, the energy distribution waveforms, and the complexity change waveform, and outputting the determination result.

Abstract: A method and a system for processing an electroencephalogram (EEG) signal are provided. The method for processing the EEG signal includes: performing a spike detection on the EEG signal to obtain a spike distribution waveform, performing an instantaneous frequency oscillation energy analysis on the EEG signal to obtain multiple energy distribution waveforms; performing a complexity analysis on the EEG signal to obtain a complexity change waveform, obtaining a determination result of a specified neural waveform based on the spike distribution waveform, the energy distribution waveforms, and the complexity change waveform, and outputting the determination result.

Abstract: It includes the steps of (1) preparing step; (2) anesthetizing step; (3) electrodes installing step; and (4) focal onset seizures inducing step. First, a live animal is anesthetized. The electrodes are installed on a working zone of its brain. A first chemical liquid is injected beneath the cerebral cortex of this animal. At two different times, a first electric stimulation and a second electric stimulation are activated by the controller respectively so as to generate a first and a second focal onset seizure accordingly. Thus, it can generate focal onset seizures. It is easy to change the electric stimulation position, numbers and type. In addition, the survival rate of a larger-sized animal after anesthesia is higher.

Abstract: A method for neurological event detection is provided and include: obtaining a neural oscillation signal and extracting a plurality of features from the neural oscillation signal; obtaining a plurality of classification results corresponding to a plurality of times according to the plurality of features by using a classification model constructed based on a plurality of training data, wherein whether a neurological event occurs is known in each training data; and calculating a final determination result corresponding to each of a plurality of evaluation time windows according to a preset time window width and the plurality of classification results and displaying the final determination result. The final determination result indicates whether the neurological event occurs. Each evaluation time window corresponds to a plurality of classification results and one single final determination result.

Abstract: Many electrodes are positioned inside a skull for obtaining several electric voltage variation wave information. A processing unit computes subtract operation between two neighboring electrical voltage variation wave information respectively and then can obtain electrical voltage difference waves. Furthermore, each electrical voltage difference wave is separated into a first band wave signal and a second band wave signal. After which, several first band wave envelope signals and second band wave envelope signals are obtained. It conducts a co-relation processing about the first band wave envelope signals and the second band wave envelope signals. So, a co-relation table is obtained for determining a position where an intracranial brain wave abnormality occurs. In this invention, a unique scientific approach to determine the spatial position of seizure onset occurred inside the brain. In addition, the position of intracranial brain wave abnormality can be concretized and visualized by the co-relation table.

Abstract: A method comprises steps of capturing first images for displaying a three-dimensional brain structure, capturing second images for displaying blood vessels of the brain and capturing third images displaying implanted electrodes in the brain. These second images are set as standards to respectively adjust and align the first images and the third images. Contrast of the blood vessels is enhanced and the blood vessels are colored with a first color. Contrast of the electrodes is enhanced and the electrodes are colored with a second color. The aligned first images, the colored second images and the colored third images are integrated to obtain integrated viewable information of a brain, (intracranial) electrodes and blood vessels for medical reference. So, spatial positions of implanted electrodes and blood vessels of brains can be confirmed before conducting a medical surgery. And, the physicians can avoid bleeding problem due to accidental touch on blood vessels.

Abstract: Many electrodes are positioned inside a skull for obtaining several electric voltage variation wave information. A processing unit computes subtract operation between two neighboring electrical voltage variation wave information respectively and then can obtain electrical voltage difference waves. Furthermore, each electrical voltage difference wave is separated into a first band wave signal and a second band wave signal. After which, several first band wave envelope signals and second band wave envelope signals are obtained. It conducts a co-relation processing about the first band wave envelope signals and the second band wave envelope signals. So, a co-relation table is obtained for determining a position where an intracranial brain wave abnormality occurs. In this invention, a unique scientific approach to determine the spatial position of seizure onset occurred inside the brain. In addition, the position of intracranial brain wave abnormality can be concretized and visualized by the co-relation table.

Abstract: An electrode module is positioned inside an intracranial portion of a human head. Then, it captures brain images of the human head so multiples two dimensional (2D) cross-sectional images are obtained. The electrodes can be seen in one or more 2D cross-sectional images. A brain functional map adjusting portion is provided to obtain the 2D cross-sectional images and then to conduct a proportional deformation process for the images in the brain functional map database. By combining the processed images in the brain functional map database and the 2D cross-sectional images, multiple combined cross-sectional images can be obtained for display. So, the effects of intracranial electrodes are better than the traditional way. In addition, the brain structure information of a patient contains the precise positions of the electrodes and the corresponding brain functional areas.

Abstract: Epileptogenic source localization methods and systems based on ECoG signals are provided for obtaining spatial and temporal relationships among epileptogenic zones. Seizure detection is based on an Independent Component Analysis (ICA) and temporal and spatial relationships among the detected epileptogenic zones are based on a steepest descent-based source localization method. Embodiments of the invention facilitate the epileptiform activity investigation and seizure dynamics study and further benefit the neurophysiology community in the surgical decision making of neurosurgeons.

Abstract: Epileptogenic source localization methods and systems based on ECoG signals are provided for obtaining spatial and temporal relationships among epileptogenic zones. Seizure detection is based on an Independent Component Analysis (ICA) and temporal and spatial relationships among the detected epileptogenic zones are based on a steepest descent-based source localization method. Embodiments of the invention facilitate the epileptiform activity investigation and seizure dynamics study and further benefit the neurophysiology community in the surgical decision making of neurosurgeons.