about
Patient-specific early seizure detection from scalp electroencephalogramLow-dimensional attractor for neural activity from local field potentials in optogenetic miceAn Automatic Prediction of Epileptic Seizures Using Cloud Computing and Wireless Sensor Networks.Seizure prediction and recall.Continuous energy variation during the seizure cycle: towards an on-line accumulated energy.Seizure prediction: methodsControl of synchronization of brain dynamics leads to control of epileptic seizures in rodents.Seizure prediction and its applicationsCoercively adjusted auto regression model for forecasting in epilepsy EEGAn investigation of EEG dynamics in an animal model of temporal lobe epilepsy using the maximum Lyapunov exponentSeizure prediction.A novel constrained topographic independent component analysis for separation of epileptic seizure signals.Online Epileptic Seizure Prediction Using Wavelet-Based Bi-Phase Correlation of Electrical Signals Tomography.ABSENCE SEIZURES AS RESETTING MECHANISMS OF BRAIN DYNAMICS.Measuring resetting of brain dynamics at epileptic seizures: application of global optimization and spatial synchronization techniques.The dynamics of the epileptic brain reveal long-memory processes.Homeostasis of brain dynamics in epilepsy: a feedback control systems perspective of seizures.Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis.An automatic patient-specific seizure onset detection method using intracranial electroencephalography.Phase synchronization of neuronal noise in mouse hippocampal epileptiform dynamics.Epileptic seizure detection in EEG signal using machine learning techniques.Epileptic seizure detection in EEG signal with GModPCA and support vector machine.A Marked Point Process Framework for Extracellular Electrical Potentials.Controlling synchronization in a neuron-level population model.Comment on "Inability of Lyapunov exponents to predict epileptic seizures".Classification Preictal and Interictal Stages via Integrating Interchannel and Time-Domain Analysis of EEG Features.EEG signals classification of epileptic patients via feature selection and voting criteria in intelligent method.Application of intrinsic time-scale decomposition (ITD) to EEG signals for automated seizure prediction.Effect of stimulus parameters in the treatment of seizures by electrical stimulation in the kainate animal model.Abnormal interictal gamma activity may manifest a seizure onset zone in temporal lobe epilepsy.Controlled test for predictive power of Lyapunov exponents: their inability to predict epileptic seizures.Correlation dimension and integral do not predict epileptic seizures.EPILEPTIC EEG CLASSIFICATION USING NONLINEAR PARAMETERS ON DIFFERENT FREQUENCY BANDSA new algorithm for detection of epileptic seizures based on HRV signalSIMULATION OF HEALTHY AND EPILEPTIFORM BRAIN ACTIVITY USING CELLULAR AUTOMATAA New Approach to Detect Epileptic Seizures in Electroencephalograms Using Teager EnergyEnsemble classifier for epileptic seizure detection for imperfect EEG data
P2860
Q30432141-1E0A3139-AB4F-4C83-A562-D5E9C0F31F12Q30666514-EF7F113F-EF5E-4216-8947-4A976C246092Q33450696-2D781FA3-CE4A-4BD6-9077-314127B8E3FDQ33998501-08B3A041-80EB-4DDF-B2CA-D7003C17E178Q34138985-4A306320-C029-4958-AC4E-165AB23D363CQ34232025-040A13FB-0034-403B-A6B4-C8C3F25A2BB7Q35061621-450995CD-78D2-4D7F-A423-4BC070AF03B1Q35611469-8A15EBEF-634B-4DD3-82C1-ABDAD459719CQ36848246-A15AB44F-2042-49C5-BF84-3F3A749F3756Q37098678-E07BA31B-1E88-46FE-9F83-DFFC74528DBCQ38454150-E6000C7F-E1A0-486A-9920-76C8B463DC74Q39840604-1AB696A8-CECD-4998-978F-1A862BA1A98FQ40292803-CA2BA2EB-1B68-4F48-B75A-F2F0287E076AQ41834833-A1071D18-ABA5-4D14-B1CB-20B86E2F1D10Q41877656-323A69A9-BF79-4E6F-A04E-D094838BF841Q41963545-3298D851-D8A7-4E22-94F0-2308415D39FCQ42769314-9819B6CC-F64B-4E94-953C-C2617DBA3F39Q43201040-6BCC5E1D-166C-4DF4-806F-F1E316605E6FQ45956495-50176E58-A9B5-4CB4-8924-FF8D03AA17CBQ46872928-56B180CC-BF02-4617-A057-903280402CFBQ47173346-13AC455F-5987-43DC-9AB5-E08FEA575740Q47223809-1327AFB5-189A-4122-8C75-BAF3D88BEAADQ47359655-1B481D11-790C-43D4-88C9-9D20D4FEF022Q48137800-822561A5-4ABB-49E0-87AB-045011BB67A9Q49072121-023EFABE-8F65-4263-9775-EC3E1F9F76DAQ50646208-D7EBA998-92FC-41E5-BEC9-BA3B181A4085Q51107163-6155A35D-83DA-4542-992A-20F7721C2B57Q51175929-C61752F7-34E8-49A1-89E9-711EB2067CFDQ51585015-BC64E892-57EB-4560-A8E5-2299B76299BBQ51585026-F87D5AC8-FC8B-47CF-B975-84F649C847C1Q51635561-12112EDC-3A41-40A6-ADC7-F53D567A4B23Q51961138-9E877E18-674F-4F91-BBAB-2CDACBC9BCFCQ56775701-13DE49E3-616E-4E36-8B1C-958C7208424BQ56913343-C5BC1970-41C1-4007-9DC6-9B46D13926C3Q58841126-FD2F7740-7DE3-4726-A0C9-489F706D9F21Q58994932-0723D372-B36C-4D03-A3FE-5B194195FEA2Q59121263-103D7E26-257A-4AC2-9F56-AF816646053B
P2860
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh
2003年學術文章
@zh-hant
name
Adaptive epileptic seizure prediction system.
@en
Adaptive epileptic seizure prediction system.
@nl
type
label
Adaptive epileptic seizure prediction system.
@en
Adaptive epileptic seizure prediction system.
@nl
prefLabel
Adaptive epileptic seizure prediction system.
@en
Adaptive epileptic seizure prediction system.
@nl
P2093
P356
P1476
Adaptive epileptic seizure prediction system.
@en
P2093
Awadhesh Prasad
Balaji Veeramani
Deng-Shan Shiau
J Chris Sackellares
Jose C Principe
Konstantinos Tsakalis
Leon D Iasemidis
Panos M Pardalos
Paul R Carney
Wanpracha Chaovalitwongse
P304
P356
10.1109/TBME.2003.810689
P577
2003-05-01T00:00:00Z