Classification of EEG signals for epileptic seizures using hybrid artificial neural networks based wavelet transforms and fuzzy relations

By Ozan Kocadağlı, Reza Langari. 2017

85 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

1. Cuntai Guan
2. Erico Tjoa

In Cognitive Neuroscience

1. Cuntai Guan
2. Erico Tjoa
3. Fabien Lotte
4. Dongrui Wu

In Signal Processing

1. Cuntai Guan
2. Erico Tjoa
3. Fabien Lotte
4. Dongrui Wu

Citations in the corpus

• A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI (2019, methodology): “[98] uses DWT-based method (discrete wavelet transform) to perform feature extraction before eventually feeding the EEG data into a neural network for epilepsy classification.”