Application of entropies for automated diagnosis of epilepsy using EEG signals: A review

By Usha R. Acharya, Hamido Fujita, Vidya K. Sudarshan, Shreya Bhat, Joel E. W. Koh. Knowledge-Based Systems, 2015

460 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Molecular Biology, Signal Processing

View Paper: https://www.semanticscholar.org/paper/bd56d5b7f39479919e3274d2f8976892222e38c0

How researchers see this paper

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

In Cognitive Neuroscience

1. Usha R. Acharya
2. Yuki Hagiwara
3. Shu Lih Oh
4. Jen Hong Tan
5. Hojjat Adeli
6. Samanwoy Ghosh-Dastidar
7. Santi Kumari Behera
8. Dr. Prabira Kumar Sethy

In Molecular Biology

1. Usha R. Acharya
2. Yuki Hagiwara

In Signal Processing

1. Yuki Hagiwara
2. Usha R. Acharya
3. Shu Lih Oh
4. Hojjat Adeli
5. Jen Hong Tan

Citations in the corpus

• Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals (2017, methodology): “[10] also review application of entropies for automated EEG-based diagnosis of epilepsy.”