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» Nonlinear classification of EEG data for seizure detection
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TITB
2010
104views Education» more  TITB 2010»
13 years 4 hour ago
Time-frequency analysis of accelerometry data for detection of myoclonic seizures
Four time-frequency and time-scale methods are studied for their ability of detecting myoclonic seizures from accelerometric data. Methods that are used are: the short-time Fourier...
Tamara M. E. Nijsen, Ronald M. Aarts, Pierre J. M....
BC
1998
77views more  BC 1998»
13 years 5 months ago
Nonlinear analysis of epileptic activity in rabbit neocortex
Abstract. We report on the nonlinear analysis of electroencephalogram (EEG) recordings in the rabbit visual cortex. Epileptic seizures were induced by local penicillin application ...
J. Sarnthein, Henry D. I. Abarbanel, H. Pockberger
KES
2004
Springer
13 years 10 months ago
Detection of Dynamical Transitions in Biomedical Signals Using Nonlinear Methods
The ability to detect the existence of nonlinear dynamics may facilitate medical diagnostics for identifying, monitoring and predicting transitions from health to sickness. Detecti...
Patrick E. McSharry
ICASSP
2008
IEEE
13 years 11 months ago
Mutual information based relevance network analysis: a Parkinson'S disease study
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeo...
AISS
2010
107views more  AISS 2010»
13 years 2 months ago
A Simple Wavelet Method for Automated Detection of Epileptic Neural Spikes in Electroencephalogram
In clinical diagnosis process of epilepsy, the physicians rely on tedious visual screening of long time recorded electroencephalograms (EEG) for detection and localization of impo...
Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...