Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram-Reference-Cited by-同舟云学术

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Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram

Published:2021-03-16 Issue:2 Volume:15 Page:122-140
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Johnrose Prabin Jose¹,Muniasamy Sundaram²,Georgepeter Jaffino³

Affiliation:

1. Department of Electronics and Communication Engineering Kamaraj College of Engineering and Technology Madurai India

2. Department of Electronics and Communication Engineering VSB Engineering College Karur India

3. Department of Electronics and Communication Engineering Aditya College of Engineering Surampalem India

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/sil2.12019

Reference42 articles.

1. Jallon P. et al.:Detection system of motor epileptic seizures through motion analysis with 3D accelerometers. In:31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC’09 pp.2466–2469.(2009)

2. Conradsen I. et al.:Seizure onset detection based on a uni‐ or multimodal intelligent seizure acquisition (UISA/MISA) system. In:Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC’10 pp.3269–3272.(2010)

3. Nocturnal Epileptic Seizures Detection Using Inertial and Muscular Sensors

4. Spatial analysis of EEG signals for Parkinson’s disease stage detection

5. Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks

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