Analysis of frequency domain of eeg signals in clinical location of epileptic focus

Xiaoying Tang; Li Xia; Weifeng Liu; Yuhua Peng; Duanduan Chen; Tianxin Gao; Yanjun Zeng

doi:10.1177/1550059412451215

Analysis of frequency domain of eeg signals in clinical location of epileptic focus

Xiaoying Tang, Li Xia, Weifeng Liu, Yuhua Peng^*, Duanduan Chen, Tianxin Gao, Yanjun Zeng

^*Corresponding author for this work

School of Medical and Technology

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

As a suddenly abnormal discharge of brain neurons, epilepsy can lead to encephalographic (EEG) abnormalities. Data of 3 epileptic patients recorded by depth intracranial electrodes are analyzed with time-frequency algorithms to observe the abnormal changes in different frequency ranges. Comparing the frequency domain of the normal and epileptic signals that contain several periods of clinical seizures and intervals, a remarkable range of high frequency is identified and corresponds to the seizure. According to the corresponding position of those channels that produced abnormal signals, the epileptic focus is determined theoretically and verified by comparison with the clinical diagnosis and surgical results. Furthermore, the order of the presence of different frequency ranges is listed. The finding proposed in this study could be a fresh method to improve the diagnosis of epilepsy.

Original language	English
Pages (from-to)	25-30
Number of pages	6
Journal	Clinical EEG and Neuroscience
Volume	44
Issue number	1
DOIs	https://doi.org/10.1177/1550059412451215
Publication status	Published - Jan 2013

Keywords

EEG
Epilepsy
Time-frequency analysis

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10.1177/1550059412451215

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AU - Xia, Li

AU - Liu, Weifeng

AU - Peng, Yuhua

AU - Chen, Duanduan

AU - Gao, Tianxin

AU - Zeng, Yanjun

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AB - As a suddenly abnormal discharge of brain neurons, epilepsy can lead to encephalographic (EEG) abnormalities. Data of 3 epileptic patients recorded by depth intracranial electrodes are analyzed with time-frequency algorithms to observe the abnormal changes in different frequency ranges. Comparing the frequency domain of the normal and epileptic signals that contain several periods of clinical seizures and intervals, a remarkable range of high frequency is identified and corresponds to the seizure. According to the corresponding position of those channels that produced abnormal signals, the epileptic focus is determined theoretically and verified by comparison with the clinical diagnosis and surgical results. Furthermore, the order of the presence of different frequency ranges is listed. The finding proposed in this study could be a fresh method to improve the diagnosis of epilepsy.

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Analysis of frequency domain of eeg signals in clinical location of epileptic focus

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