Identification of Epileptic Seizure Using ReHo from Rs-fMRI

2017 ◽  
Author(s):  
A. Allwyn Gnanadas ◽  
S. Sathishbabu ◽  
M. Vijayakarthik
Keyword(s):  
Epileptic Seizure

Automated System for Epileptic Seizures Prediction based on Multi-Channel Recordings of Electrical Brain Activity

2018 ◽  
pp. 115-122 ◽  
Author(s):  
V. A. Maksimenko ◽  
A. A. Harchenko ◽  
A. Lüttjohann
Keyword(s):  
Epileptic Seizure ◽  
Brain Activity ◽  
Epileptic Seizures ◽  
Automated System ◽  
Brain Computer Interfaces ◽  
Electrical Brain Activity ◽  
Computer Interfaces ◽  
Prediction And Prevention ◽  
The Brain

Introduction: Now the great interest in studying the brain activity based on detection of oscillatory patterns on the recorded data of electrical neuronal activity (electroencephalograms) is associated with the possibility of developing brain-computer interfaces. Braincomputer interfaces are based on the real-time detection of characteristic patterns on electroencephalograms and their transformation  into commands for controlling external devices. One of the important areas of the brain-computer interfaces application is the control of the pathological activity of the brain. This is in demand for epilepsy patients, who do not respond to drug treatment.Purpose: A technique for detecting the characteristic patterns of neural activity preceding the occurrence of epileptic seizures.Results:Using multi-channel electroencephalograms, we consider the dynamics of thalamo-cortical brain network, preceded the occurrence of an epileptic seizure. We have developed technique which allows to predict the occurrence of an epileptic seizure. The technique has been implemented in a brain-computer interface, which has been tested in-vivo on the animal model of absence epilepsy.Practical relevance:The results of our study demonstrate the possibility of epileptic seizures prediction based on multichannel electroencephalograms. The obtained results can be used in the development of neurointerfaces for the prediction and prevention of seizures of various types of epilepsy in humans. 

scholarly journals Canine detection of volatile organic compounds unique to human epileptic seizure

2021 ◽  
Vol 115 ◽  
pp. 107690
Author(s):  
Edward Maa ◽  
Jennifer Arnold ◽  
Katherine Ninedorf ◽  
Heather Olsen
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Epileptic Seizure ◽  
Volatile Organic ◽  
Canine Detection

An unusual traumatic sacral-U shape fracture occurring during a grand mal epileptic seizure

2021 ◽  
Author(s):  
Farah Kaissar ◽  
Meyer Mikael ◽  
Prost Solene ◽  
Dufour Henry ◽  
Fuentes Stephane
Keyword(s):  
Epileptic Seizure ◽  
Grand Mal
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