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64386

A Statistical Seizure Prediction Approach Based on Savitzky-Golay Smoothing

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Last updated: 25 Dec 2024

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Abstract

"> This paper presents an enhanced seizure prediction technique based on a statistical approach for channel selection depending on amplitude, median, mean, variance, and derivative of processed EEG signals. The EEG pre-processing depends on Savitzky Golay (S-G) digital filter for smoothing of the signals, while maintaining the signal peaks. This technique consists of two phases; training, by randomly selected hours from normal, ictal and pre-ictal periods, and then estimating five Probability Density Functions (PDFs), and testing, by discrimination between normal and pre-ictal periods, and then the determination of a discrimination count threshold to predict the epilepsy seizure. Applying this approach on patients' data taken by MIT shows that we can achieve high prediction accuracy (93.5%) with low false alarm rate (0.148/h) and a good prediction time (51.8166 min).

DOI

10.21608/mjeer.2018.64386

Authors

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Ahmed

Last Name

Sedik

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Affiliation

Dept. of Electronics and Communications Engineering, Faculty of Engineering, Tanta University.

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First Name

Turky

Last Name

Alotaiby

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King Abdalziz City for Science and Technology, Riyadh City, KSA

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First Name

Heba

Last Name

El-Khobby

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-

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Dept. of Electronics and Communications Engineering, Faculty of Engineering, Tanta University.

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First Name

Mahmoud

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Atea

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Dept. of Electronics and Communications Engineering, Faculty of Engineering, Tanta University.

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First Name

Saleh A.

Last Name

Alshebeili

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king saud university, Riyadh City

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First Name

Fathi E.

Last Name

Abd El-Samie

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Dept. of Electronics and Electrical Communications, Faculty of Engineering, Menoufia University

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Volume

27

Article Issue

1

Related Issue

9729

Issue Date

2018-01-01

Receive Date

2019-12-09

Publish Date

2018-01-01

Page Start

53

Page End

70

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_64386.html

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https://mjeer.journals.ekb.eg/service?article_code=64386

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3

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Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

A Statistical Seizure Prediction Approach Based on Savitzky-Golay Smoothing

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Article

Created At

22 Jan 2023