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Updated: Jul 16, 2025

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
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Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

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在使用功率光谱密度参数化的EEG中检测和预测发作

Shan Liu, Jiang Wang, Shanshan Li

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
    |September 19, 2023
    PubMed
    概括

    这项研究表明,脑电图 (EEG) 中的无周期性神经活动对于准确检测和预测至关重要. 分离周期性和非周期性EEG组件显著提高了诊断的分类准确性.

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    Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy10:22

    Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

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    Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy11:15

    Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

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    相关概念视频

    Seizures: Classification01:13

    Seizures: Classification

    Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
    Seizures are typically classified into two main categories: focal and generalized seizures.
    Focal Seizures
    Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
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