Multifractal detrended fluctuation analysis based novel feature extraction technique for automated detection of focal and non‐focal electroencephalogram signals-Reference-Cited by-同舟云学术

Multifractal detrended fluctuation analysis based novel feature extraction technique for automated detection of focal and non‐focal electroencephalogram signals

Published:2017-11 Issue:8 Volume:11 Page:1014-1021
ISSN:1751-8830
Container-title:IET Science, Measurement & Technology
language:en
Short-container-title:IET Science, Measurement & Technology

Author:

Chatterjee Soumya¹,Pratiher Sawon²,Bose Rohit³

Affiliation:

1. Electrical Engineering DepartmentJadavpur UniversityKolkataIndia

2. School of Medical Science and TechnologyIndian Institute of TechnologyKharagpurIndia

3. Electrical Engineering DepartmentCalcutta Institute of Engineering and ManagementKolkataIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smt.2017.0117

Reference22 articles.

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4. Non-invasive epileptic focus localization using EEG-triggered functional MRI and electromagnetic tomography

5. An automatic detection of focal EEG signals using new class of time–frequency localized orthogonal wavelet filter banks

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