Using Hand-Crafted and Learned EEG Features for the Detection of Epileptic Seizures

2021 ◽  
Author(s):  
Lavinia Ferariu ◽  
Adela Tucas
Keyword(s):  
Epileptic Seizures ◽  
Eeg Features

scholarly journals The State of the Art in Feature Extraction Methods for EEG Classification

2019 ◽  
Vol 3 (2) ◽  
pp. 16
Author(s):  
Hoger Mahmud Hussen
Keyword(s):  
Epileptic Seizure ◽  
Neurological Disease ◽  
State Of The Art ◽  
Epileptic Seizures ◽  
Extraction Methods ◽  
Eeg Classification ◽  
The World ◽  
Electroencephalogram Eeg ◽  
The Brain ◽  
Eeg Features

Epileptic seizure is a neurological disease that is common around the world and there are many types (e.g. Focal aware seizures and atonic seizure) that are caused by synchronous or abnormal neuronal activity in the brain. A number of techniques are available to detect the brain activities that lead to Epileptic seizures; one of the most common one is Electroencephalogram (EEG) that uses visual scanning to measure brain activities generated by nerve cells in the cerebral cortex. The techniques make use of different features detected by EEG to decide on the occurrence and type of seizures. In this paper we review EEG features proposed by different researches for the purpose of Epileptic seizure detection, also analyze, and compare the performance of the proposed features.

Pulmonary Edema and Simultaneous Cardiac Dysfunction After Epileptic Seizures

2013 ◽  
Vol 40 (06) ◽  
pp. 896-897
Author(s):  
V. Pelliccia ◽  
C. Pizzanelli ◽  
S. Pini ◽  
P. Malacarne ◽  
U. Bonuccelli
Keyword(s):  
Pulmonary Edema ◽  
Cardiac Dysfunction ◽  
Epileptic Seizures

Complexity Measures of Brain Electrophysiological Activity

2010 ◽  
Vol 24 (2) ◽  
pp. 131-135 ◽  
Author(s):  
Włodzimierz Klonowski ◽  
Pawel Stepien ◽  
Robert Stepien
Keyword(s):  
Brain Activity ◽  
Deterministic Chaos ◽  
Epileptic Seizures ◽  
Eeg Signal ◽  
Eeg Signals ◽  
Complexity Measures ◽  
Electrophysiological Activity ◽  
Signal Complexity ◽  
Physiological Sleep ◽  
The Brain

Over 20 years ago, Watt and Hameroff (1987 ) suggested that consciousness may be described as a manifestation of deterministic chaos in the brain/mind. To analyze EEG-signal complexity, we used Higuchi’s fractal dimension in time domain and symbolic analysis methods. Our results of analysis of EEG-signals under anesthesia, during physiological sleep, and during epileptic seizures lead to a conclusion similar to that of Watt and Hameroff: Brain activity, measured by complexity of the EEG-signal, diminishes (becomes less chaotic) when consciousness is being “switched off”. So, consciousness may be described as a manifestation of deterministic chaos in the brain/mind.

Hysteresis in Coupled Chaotic Oscillators and Application to Epileptic Seizures

2003 ◽  
Author(s):  
A. Prasad ◽  
K. Narayanan ◽  
K. Tsakalis ◽  
L. Iasemidis
Keyword(s):  
Epileptic Seizures ◽  
Chaotic Oscillators
Sign in / Sign up

Export Citation Format

Share Document