Towards Automated Epileptic Seizure Detection for Lightweight Devices through EEG Signal Processing

Mst Rafiatul Jannat

Towards Automated Epileptic Seizure Detection for Lightweight Devices through EEG Signal Processing

Mst Rafiatul Jannat * §

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Shandong University

Towards Automated Epileptic Seizure Detection for Lightweight Devices through EEG Signal Processing

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References

16 Cites in Article

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César Alexandre Teixeira,Bruno Direito,Mojtaba Bandarabadi,Michel Le Van Quyen,Mario Valderrama,Bjoern Schelter,Andreas Schulze-Bonhage,Vincent Navarro,Francisco Sales,António Dourado (2014). Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients.
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(null). Figure 1: Location of the 14 lead Emotiv Epoc+..
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mst Rafiatul Jannat. 2017. "Towards Automated Epileptic Seizure Detection for Lightweight Devices through EEG Signal Processing". Global Journal of Medical Research - K: Interdisciplinary GJMR-K Volume 17 (GJMR Volume 17 Issue K1).

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GJMR Volume 17 Issue K1

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Journal Specifications

Crossref Journal DOI 10.17406/gjmr

Print ISSN 0975-5888

e-ISSN 2249-4618

Keywords

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Classification

GJMR-K Classification NLMC Code: WL 140

Submission ReceivedDecember 6, 2016
Peer Review Double Blind
Handling Editor
Accepted January 5, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

April 1, 2017

Language

English

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Article Matrices

Total Score: 174

Country: China

Subject: Global Journal of Medical Research

Authors: Noor Mohammad, Shamim Ara, Mst Rafiatul Jannat, Ding Shifang (PhD/Dr. count: 0)

View Count (all-time): 301

Total Views (Real + Logic): 875

Total Downloads (simulated): 36

Publish Date: 2017 01, Sun

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Total Views: 875

Total Downloads: 36

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