Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis

Keywords

Electroencephalography, Pattern recognition (psychology), Time–frequency analysis, Frequency domain, Focus (optics)

References

• Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state.剛弘 魚住, 直樹 菅沼 — 2001
• Multivariate linear discrimination of seizures.Nashelly Ocampo, Ana Alicia Peña, Octavio Rosas Landa — 2005
• Wearable ElectroencephalographyAlexander J. Casson, David C. Yates, Shelagh Smith — 2010
• Digital Signal Processing: Principles, Algorithms, and ApplicationsJ.G. Proakis, Dimitris G. Manolakis — 1992
• Classification of EEG signals using the wavelet transformNeep Hazarika, J.Z. Chen, Ah Chung Tsoi — 1997
• Chaos theory tamedGarnett P. Williams — 1997
• New horizons in ambulatory electroencephalographyElizabeth Waterhouse — 2003
• Automatic detection of seizures and spikes.Jean Gotman — 1999
• Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropyHasan Ocak — 2009
• Automatic feature extraction using genetic programming: An application to epileptic EEG classificationLing Guo, Daniel Rivero, Julián Dorado — 2011
• Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients.İnan Güler, Elif Derya Übeylï — 2005
• Epileptic seizure detection.Ronald P. Schuyler, Andrew M. White, Kevin J. Staley — 2007
• A neural-network-based detection of epilepsyVivek Nigam, Daniel Graupe — 2004
• Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithmHasan Ocak — 2008
• Automatic identification of epilepsy by HOS and power spectrum parameters using EEG signals: A comparative studyKuang Chua Chua, Vinod Chandran, U. Rajendra Acharya — 2008
• Inventing the future of neurology: Integrated wavelet-chaos-neural network models for knowledge discovery and automated EEG-based diagnosis of neurological disordersHojjat Adeli — 2008
• Practical method for determining the minimum embedding dimension of a scalar time seriesLiangyue Cao — 1997
• Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detectionDeng Wang, Duoqian Miao, Xie Chen — 2011
• Wavelet Transforms: Introduction To Theory And ApplicationsRaghuveer Rao — 1998
• Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transformKemal Polat, Salih Güneş — 2007

Cited by

• Classification of epileptic EEG signals based on simple random sampling and sequential feature selectionDanyu Liu, Yu Cao, Wallapak Tavanapong — 2016
• Epileptic Seizure Classification of EEGs Using Time–Frequency Analysis Based Multiscale Radial Basis FunctionsAtif M. Memon, Jaymie Strecker — 2018
• An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy MeasuresRajeev Sharma, Ram Bilas Pachori, U. Rajendra Acharya — 2015
• An Analog Circuit Approximation of the Discrete Wavelet Transform for Ultra Low Power Signal Processing in Wearable Sensor NodesAlexander J. Casson — 2015
• A new method to detect event-related potentials based on Pearson’s correlationWilliam Giroldini, Luciano Pederzoli, Marco Bilucaglia — 2015
• A multiwavelet-based time-varying model identification approach for time-frequency analysis of EEG signalsYang Li, Mei-Lin Luo, Ke Li — 2016
• Online Condition Monitoring of Bearings to Support Total Productive Maintenance in the Packaging Materials IndustryJovan Gligorijevic, Dragoljub Gajić, Aleksandar Brković — 2016
• A novel robust diagnostic model to detect seizures in electroencephalographyPiyush Swami, Tapan Kumar Gandhi, Bijaya Ketan Panigrahi — 2016
• Online condition monitoring of bearings for improved reliability in packaging materials industryDragoljub Gajić, Jovan Gligorijevic, Aleksandar Brković — 2015
• A novel module based approach for classifying epileptic seizures using EEG signalsMeenakshi Sood, Sunil Bhooshan — 2016
• Discrimination and classification of focal and non-focal EEG signals using entropy-based features in the EMD-DWT domainAnindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan — 2016
• Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI systemJasmin Kevrić, Abdülhamit Subaşı — 2017
• Identification and Use of PSD-derived Features for the Contextual Detection and Classification of EEG Epileptiform TransientsSharan Rajendran — 2016
• Improving the nurse response to seizures in the epilepsy monitoring unit with help of EEG-based automatic seizure detectionL.I.M. Jansen Holleboom — 2016
• Comparative Modelling of Huntington DiseaseS. Kashyap — 2016
• Time-frequency localized three-band biorthogonal wavelet filter bank using semidefinite relaxation and nonlinear least squares with epileptic seizure EEG signal classificationDinesh Bhati, Manish Sharma, Ram Bilas Pachori — 2017
• Classification of focal and nonfocal EEG signals using ANFIS classifier for epilepsy detectionS. Deivasigamani, C. Senthilpari, Wong Hin Yong — 2016
• Time-frequency image based features for classification of epileptic seizures from EEG signalsVarun Bajaj, Khushnandan Rai, Anil Kumar — 2017
• Automatic Epileptic Seizure Detection in EEG Using Nonsubsampled Wavelet–Fourier FeaturesGuangyi Chen, Wenfang Xie, Tien D. Bui — 2017
• Diabetes and Associated Risk FactorsAkhila Pasupuleti — 2016

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