تصفح حسب الموضوع "Seizure detection"
السجلات المعروضة 1 -- 10 من 10
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A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG
( Elsevier Inc. , 2014 , Article)This paper presents a novel design of a time-frequency (t-f) matched filter as a solution to the problem of detecting a non-stationary signal in the presence of additive noise, for application to the detection of newborn ... -
Automated class-based compression for real-time epileptic seizure detection
( IEEE Computer Society , 2018 , Conference Paper)The emergence of next generation wireless networking technologies has motivated a paradigm shift in development of viable mobile-Health applications for ubiquitous real-time healthcare monitoring. However, remote healthcare ... -
Automatic seizure detection based on the combination of newborn multi-channel EEG and HRV information Advances in Nonstationary Electrophysiological Signal Analysis and Processing
(2012 , Article)This article proposes a new method for newborn seizure detection that uses information extracted from both multi-channel electroencephalogram (EEG) and a single channel electrocardiogram (ECG). The aim of the study is to ... -
Calibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals
( IEEE Computer Society , 2012 , Conference Paper)This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by calibrating relevant time features and frequency features in the joint time-frequency domain. The ... -
Effective seizure detection through the fusion of single-feature enhanced-k-NN classifiers of EEG signals
( IEEE , 2013 , Conference Paper)Electroencephalogram (EEG) physiological signals are widely used for detecting epileptic seizure. To reduce complexity stemming from the dimensionality problem, EEG signals are often reduced into a smaller set of discriminant ... -
Energy efficient EEG monitoring system for wireless epileptic seizure detection
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Wireless EEG monitoring systems have been successfully used for seizure detection outside clinical settings. The wireless EEG sensor nodes consume a considerable amount of battery energy to acquire, encode and transmit the ... -
Evidence theory-based approach for epileptic seizure detection using EEG signals
( IEEE , 2012 , Conference Paper)Electroencephalogram (EEG) is one of the potential physiological signals used for detecting epileptic seizure. Discriminant features, representing different brain conditions, are often extracted for diagnosis purposes. ... -
Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach
(2012 , Conference Paper)This paper presents new time-frequency (T-F) features to improve the classification of non-stationary signals such as EEG signals. Previous methods were based only on signal features that were derived from the instantaneous ... -
Instantaneous frequency based newborn EEG seizure characterisation
(2012 , Article)The electroencephalogram (EEG), used to noninvasively monitor brain activity, remains the most reliable tool in the diagnosis of neonatal seizures. Due to their nonstationary and multi-component nature, newborn EEG seizures ... -
Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Nonlinear dynamics has recently been extensively used to study epilepsy due to the complex nature of the neuronal systems. This study presents a novel method that characterizes the dynamic behavior of pediatric seizure ...