Higuchi and Katz Fractal Dimension for Detecting Interictal and Ictal State in Electroencephalogram Signal
Penulis/Author
INUNG WIJAYANTO (1); Dr. Ir. Rudy Hartanto, M.T., IPM. (2); Prof. Ir. Hanung Adi Nugroho, S.T., M.Eng., Ph.D., IPM., SMIEEE. (3)
Tanggal/Date
2019
Kata Kunci/Keyword
Abstrak/Abstract
Epilepsy is a neurological disorder which may occur
in every human being. The existence of a seizure showed as
the characteristic of this disorder. International League Against
Epilepsy (ILAE) mentioned that the diagnose of epilepsy required
a minimum of two seizure event in 24 hours. A standard tool used
by the neurologist to diagnose epilepsy was Electroencephalogram
(EEG). An automatic seizure detection in EEG signal may help
them to identify the pattern of ictal condition. Since the characteristic of the EEG signal were dynamic and nonstationary, it
was very challenging to interpret the signal pattern. In this study,
we analyzed the use of Higuchi and Katz fractal dimension as a
feature extraction method to detect an interictal and ictal state
in the EEG signal. These two states were essential in the term
of seizure detection and prediction system. EEG signal extracted
into five frequency bands called delta, theta, alpha, beta, and
gamma. Each frequency showed a different characteristic of brainbehavior in a specific condition. The extracted features then fed
into a support vector machine (SVM) to classify between normal
with interictal and ictal states. The proposed method able to
determine normal vs. ictal state with 100% of accuracy. On the
other hand, the best accuracy obtained for detecting normal vs.
interictal state was 99.5%.
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
08929940.pdf
[PAK] Full Dokumen
2
Higuchi and Katz Fractal Dimension for Detecting Interictal and Ictal State in Electroencephalogram Signal.pdf
