تصفح حسب الموضوع "Seizure"
السجلات المعروضة 1 -- 11 من 11
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Detection of neonatal seizure using multiple filters
( IEEE , 2010 , Conference Paper)It is often impossible to accurately differentiate between seizure and non-seizure related activities in irifants based on clinical manifestations alone. The electroencephalogram (EEG) is therefore the best tool available ... -
Detection of partial seizure: An application of fuzzy rule system for wearable ambulatory systems
( IEEE , 2014 , Conference Paper)Electroencephalography (EEG) plays an intelligent role, especially EEG based health diagnosis of brain disorder, as well as brain-computer interface (BCI) applications. One such research field is related to epilepsy. The ... -
Electroencephalography simulation hardware for realistic seizure, preseizure and normal mode signal generation
( American Scientific Publishers , 2015 , Article)Unlike the ECG and EKG simulators which are very commonly used for these applications, there is a big need for seizure related EEG simulator. Having a hardware system that can be used instead of a real patient to generate ... -
Embedded wearable EEG seizure detection in ambulatory state
( UK Simulation Society , 2014 , Article)This paper describes a classification method is presented using a Fuzzy System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. ... -
Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a classification method is presented using an Fuzzy Inference Engine to detect the incidences of pre-seizures in real/raw Epilepsy data. The system distinguishes between 'Normal', 'Pre-Seizure' and 'Seizure' ... -
A Nonlinear Model of Newborn EEG with Nonstationary Inputs
( Springer US , 2010 , Article)Newborn EEG is a complex multiple channel signal that displays nonstationary and nonlinear characteristics. Recent studies have focussed on characterizing the manifestation of seizure on the EEG for the purpose of automated ... -
Parametric modeling of EEG signals with real patient data for simulating seizures and pre-seizures
( IEEE , 2013 , Conference Paper)Numerous theories and models have been developed to associate various findings or in relating EEG patterns to develop a software simulators. In this paper, a Dynamic model for simulating the EEG signal has been developed ... -
Principles of time-frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection
( Elsevier Ltd , 2015 , Article)This paper considers the general problem of detecting change in non-stationary signals using features observed in the time-frequency (t,f) domain, obtained using a class of quadratic time-frequency distributions (QTFDs). ... -
Rule-base wearable embedded platform for seizure detection from real EEG data in ambulatory state
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)This paper describes a classification method is presented using an empirical Rule-base System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable ... -
Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities
( IEEE , 2011 , Conference Paper)This paper presents an introduction to time-frequency (T-F) methods in signal processing, and a novel approach for EEG abnormalities detection and classification based on a combination of signal related features and image ... -
Vitamin E modifies high-fat diet-induced reduction of seizure threshold in rats: Role of oxidative stress
( Elsevier Inc. , 2019 , Article)There is increasing evidence that oxidative stress is a causal factor in different neurodegenerative disorders such as Alzheimer's disease and epilepsy. High-fat diet (HFD) has been shown to induce oxidative stress and ...