Epileptic seizure detection based on the instantaneous area of analytic intrinsic mode functions of EEG signals

V Bajaj, RB Pachori - Biomedical Engineering Letters, 2013 - Springer
Purpose Epileptic seizure is generated by abnormal synchronization of neurons of the
cerebral cortex of the patients, which is commonly detected by electroencephalograph …
被引用次数：162 相关文章 所有 6 个版本

Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition

RB Pachori, V Bajaj - Computer methods and programs in biomedicine, 2011 - Elsevier
Epilepsy is one of the most common neurological disorders characterized by transient and
unexpected electrical disturbance of the brain. The electroencephalogram (EEG) is an …
被引用次数：272 相关文章 所有 7 个版本

Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions

RB Pachori, S Patidar - Computer methods and programs in biomedicine, 2014 - Elsevier
Epilepsy is a neurological disorder which is characterized by transient and unexpected
electrical disturbance of the brain. The electroencephalogram (EEG) is a commonly used …
被引用次数：310 相关文章 所有 8 个版本

Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions

R Sharma, RB Pachori - Expert Systems with Applications, 2015 - Elsevier
Epileptic seizure is the most common disorder of human brain, which is generally detected
from electroencephalogram (EEG) signals. In this paper, we have proposed the new …
被引用次数：435 相关文章 所有 6 个版本
[PDF] ethernet.edu.et

Classification of normal and epileptic seizure EEG signals based on empirical mode decomposition

RB Pachori, R Sharma, S Patidar - Complex system modelling and control …, 2014 - Springer
Epileptic seizure occurs as a result of abnormal transient disturbance in the electrical
activities of the brain. The electrical activities of brain fluctuate frequently and can be …
被引用次数：65 相关文章 所有 4 个版本
[PDF] academia.edu

An epileptic seizures detection algorithm based on the empirical mode decomposition of EEG

L Orosco, E Laciar, AGG Correa… - … conference of the …, 2009 - ieeexplore.ieee.org
Epilepsy is a neurological disorder that affects around 50 million people worldwide. The
seizure detection is an important component in the diagnosis of epilepsy. In this study, the …
被引用次数：77 相关文章 所有 6 个版本
[PDF] researchgate.net

Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks

W Zeng, M Li, C Yuan, Q Wang, F Liu… - Artificial Intelligence …, 2019 - Springer
Electroencephalogram (EEG) signals can be used to identify the human brain in different
disease conditions. Nonetheless, it is difficult to detect the subtle and vital differences in EEG …
被引用次数：27 相关文章 所有 7 个版本
[PDF] e-tarjome.com

Epileptic seizure detection in EEG signals using normalized IMFs in CEEMDAN domain and quadratic discriminant classifier

MF Bari, SA Fattah - Biomedical Signal Processing and Control, 2020 - Elsevier
Epilepsy is the fourth most common neurological disorder that manifests itself through
unprovoked seizures, detection of which is the very first step of proper diagnosis and …
被引用次数：29 相关文章 所有 4 个版本

Ictal EEG classification based on amplitude and frequency contours of IMFs

KS Biju, HA Hakkim, MG Jibukumar - Biocybernetics and Biomedical …, 2017 - Elsevier
Electroencephalogram (EEG) signal serves is a powerful tool in epilepsy detection. This
study decomposes intrinsic mode functions (IMFs) into amplitude envelope and frequency …
被引用次数：42 相关文章 所有 4 个版本
[PDF] researchgate.net

Classification of seizure and nonseizure EEG signals using empirical mode decomposition

V Bajaj, RB Pachori - IEEE Transactions on Information …, 2011 - ieeexplore.ieee.org
In this paper, we present a new method for classification of electroencephalogram (EEG)
signals using empirical mode decomposition (EMD) method. The intrinsic mode functions …
被引用次数：543 相关文章 所有 8 个版本