Seizure Detection in Temporal Lobe Epileptic EEGs Using the Best Basis Wavelet Functions

Title
Seizure Detection in Temporal Lobe Epileptic EEGs Using the Best Basis Wavelet Functions
Author(s)
서희돈버닥Min Soo Kim[Min Soo Kim]
Keywords
CLASSIFICATION
Issue Date
201008
Publisher
SPRINGER
Citation
JOURNAL OF MEDICAL SYSTEMS, v.34, no.4, pp.755 - 765
Abstract
In this paper, we propose a novel method using best basis wavelet functions and double thresholding that are well suited for detecting and localization of important epileptic events from noisy recorded seizure EEG signals. Our technique is based on dyadic wavelet decomposition and is mainly concerned detection of single epileptic transients within the observation sequence, such as ictal and interictal epochs of EEG. In our experiment we use temporal lobe epileptic data recorded during 84 h from four patients diagnosed with epilepsy. We have achieved promising results that demonstrate efficiency and simplicity that can be used in clinical studies as an automatic decision support tool. Thus reduce the physician's workload and provide accurate diagnosis of epileptic seizures.
URI
http://hdl.handle.net/YU.REPOSITORY/23809http://dx.doi.org/10.1007/s10916-009-9290-9
ISSN
0148-5598
Appears in Collections:
공과대학 > 전자공학과 > Articles
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