Epileptic Seizure Prediction Using Relative Spectral Power Features

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Year 2015 : 8 citations

 Seizure prediction for therapeutic devices: a review
K Gadhoumi, JM Lina, F Mormann, J Gotman - Journal of neuroscience …, 2015 - Elsevier
Abstract Research in seizure prediction has come a long way since its debut almost 4
decades ago. Early studies suffered methodological caveats leading to overoptimistic results
and lack of statistical significance. The publication of guidelines addressing mainly the ...

 [Z Zhang, KK Parhi - … in Medicine and Biology Society (EMBC), …, 2015 - ieeexplore.ieee.org
Abstract—This paper presents a novel patient-specific algorithm for prediction of seizures in
epileptic patients with low hardware complexity and low power consumption. In the
proposed approach, we first compute the spectrogram of the input fragmented EEG ...

 Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power
Z Zhang, KK Parhi - 2015 - ieeexplore.ieee.org
EEG patterns are not wide-sense stationary and change from seizure to seizure, electrode to
electrode, and from patient to patient. This paper presents a novel patient-specific algorithm
for prediction of seizures in epileptic patients from either one or two single-channel or ...

 Is Using Threshold-Crossing Method and Single Type of Features Sufficient to Achieve Realistic Application of Seizure Prediction?
Y Zheng, G Wang, J Wang - Clinical EEG and neuroscience, 2015 - eeg.sagepub.com
Objective. This study aims to verify whether the simple threshold-crossing method can work
well enough to achieve the realistic application of seizure prediction on the basis of a large
public database, and examines how a more complex classifier can improve prediction ...

 Patient-specific epileptic seizure prediction using correlation features
O Panichev, A Popov… - Signal Processing …, 2015 - ieeexplore.ieee.org
Abstract—In this contribution, several classifiers are employed to study patient-specific
epileptic seizure prediction quality using intracranial electroencephalogram signal (iEEG) for
dogs and humans suffering from epilepsy. New approach to extraction of correlation- ...

 Seizure detection using regression tree based feature selection and polynomial SVM classification
Z Zhang, KK Parhi - … in Medicine and Biology Society (EMBC), …, 2015 - ieeexplore.ieee.org
Abstract—This paper presents a novel patient-specific algorithm for detection of seizures in
epileptic patients with low hardware complexity and low power consumption. In the
proposed approach, we first compute the spectrogram of the input fragmented EEG ...

 [PDF] 2015 Signal Processing Symposium (SPSympo)
D Village - 2015 - researchgate.net
Abstract—This paper focuses on the Time of Arrival (TOA) estimation problem related to new
application of pulsar signals for airplane-based navigation. The aim of the paper is to
propose and evaluate a possible algorithm for TOA estimation that consists of epoch ...

 Epileptic Seizure Detection and Prediction Based on Continuous Cerebral Blood Flow Monitoring–a Review
S Tewolde, K Oommen, DYC Lie… - Journal of …, 2015 - multi-science.atypon.com
Epilepsy is the third most common neurological illness, affecting 1% of the world's
population. Despite advances in medicine, about 25 to 30% of the patients do not respond to
or cannot tolerate the severe side effects of medical treatment, and surgery is not an ...