Epilepsy is the neurological disorder of the brain which is difficult to diagnose visually using
Electroencephalogram (EEG) signals. Hence, an automated detection of epilepsy using …

Epilepsy is a common neurological condition that can occur in anyone at any age.
Electroencephalogram (EEG) signals of non-focal (NF) and focal (F) types contain brain …

Stock market prediction has been identified as a very important practical problem in the
economic field. However, the timely prediction of the market is generally regarded as one of …

One of the most powerful tools to assess the dynamical characteristics of time series is
entropy. Sample entropy (SE), though powerful, is not fast enough, especially for long …

Background: Classification and localization of focal epileptic seizures provide a proper
diagnostic procedure for epilepsy patients. Visual identification of seizure activity from long …

This paper analyzes the underlying complexity and non-linearity of electroencephalogram
(EEG) signals by computing a novel multi-scale entropy measure for the classification of …

Glaucoma is an ocular disorder caused due to increased fluid pressure in the optic nerve. It
damages the optic nerve and subsequently causes loss of vision. The available scanning …

Objective: We propose a novel complexity measure to overcome the deficiencies of the
widespread and powerful multiscale entropy (MSE), including, MSE values may be …

Electroencephalogram (EEG) is the recording of the electrical activity of the brain which can
be used to identify different disease conditions. In the case of a partial epilepsy, some …

This paper describes the analysis of a deep neural network for the classification of epileptic
EEG signals. The deep learning architecture is made up of two convolutional layers for …