نتایج جستجو برای: Seizure detection

تعداد نتایج: 586172  

Journal: :basic and clinical neuroscience 0
fatemeh es'haghi microelectronic&microsensor lab., electrical and computer engineering department, university of tabriz, tabriz, iran parviz shahabi school of advanced medical science, tabriz university of medical sciences, tabriz, iran javad frounchi microelectronic&microsensor lab., electrical and computer engineering department, university of tabriz, tabriz, iran mina sadighi neuroscience research center, tabriz university of medical sciences, tabriz, iran hadi yousefi neuroscience research center, tabriz university of medical sciences, tabriz, iran

introduction: seizures are symptoms associated with abnormal electrical activity in electroencephalogram (eeg). the present study was designed to determine the effect of absence seizure on heart rate (hr) changes in electrocardiogram (ecg). methods: hr alterations were recorded simultaneous with spike and wave discharges (swd) by eeg in 6 wag/rij rats as a well characterized and validated genet...

Journal: :Scholarpedia 2013

This paper presents a new time-frequency based EEG seizure detection method. This method uses the distribution of interspike intervals as a criterion for discriminating between seizure and nonseizure activities. To detect spikes in the EEG, the signal is mapped into the time-frequency domain. The high instantaneous energy of spikes is reflected as a localized energy in time-frequency domain. Hi...

Journal: :Seizure 2016
A. Ulate-Campos F. Coughlin M. Gaínza-Lein I. Sánchez Fernández P. L. Pearl T. Loddenkemper

Epilepsy affects almost 1% of the population and most of the approximately 20-30% of patients with refractory epilepsy have one or more seizures per month. Seizure detection devices allow an objective assessment of seizure frequency and a treatment tailored to the individual patient. A rapid recognition and treatment of seizures through closed-loop systems could potentially decrease morbidity a...

2007
Douglas Cochran Louis L. Scharf

This paper addresses questions about how the distribution of the generalized coherence (GC) estimate formed with data from several noisy channels is aaected by prior knowledge about the presence of a signal on one or more of the channels. In particular, the distribution of the estimate is shown to be invariant to the statistics of one of the channels under established signal-absent hypotheses o...

Journal: :Epilepsy & Behavior 2011

Javad Haddadnia, Mona Azizi Zeynab Mohammadpoory

Introduction: Epileptic seizure detection is a key step for both researchers and epilepsy specialists for epilepsy assessment due to the non-stationariness and chaos in the electroencephalogram (EEG) signals. Current research is directed toward the development of an efficient method for epilepsy or seizure detection based the limited penetrable visibility graph (LPVG) algorith...

Journal: :Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology 2005
Stephen Faul Geraldine Boylan Sean Connolly Liam Marnane Gordon Lightbody

OBJECTIVE To evaluate 3 published automated algorithms for detecting seizures in neonatal EEG. METHODS One-minute, artifact-free EEG segments consisting of either EEG seizure activity or non-seizure EEG activity were extracted from EEG recordings of 13 neonates. Three published neonatal seizure detection algorithms were tested on each EEG recording. In an attempt to obtain improved detection ...

Journal: :journal of medical signals and sensors 0
golshan taheri mehran yazdi alireza keshavarz-haddad arash rafie borujeny

the monitoring of epileptic seizures is mainly done by means of eeg (electroencephalogram) monitoring. although this method is accurate, it is not comfortable for the patient as the eeg-electrodes have to be attached to the scalp which hampers the patient’s movement. this makes long term home monitoring not feasible. in this paper the aim is to propose a seizure detection system based on accele...

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