Investigation of ECG Changes in Absence Epilepsy on WAG/ Rij Rats

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 spi...

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Main Authors: Fatemeh Es'haghi, Parviz Shahabi, Javad Frounchi, Mina Sadighi, Hadi Yousefi
Format: Article
Language:English
Published: Iran University of Medical Sciences 2015-04-01
Series:Basic and Clinical Neuroscience
Subjects:
Online Access:http://bcn.iums.ac.ir/browse.php?a_code=A-10-661-1&slc_lang=en&sid=1
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author Fatemeh Es'haghi
Parviz Shahabi
Javad Frounchi
Mina Sadighi
Hadi Yousefi
author_facet Fatemeh Es'haghi
Parviz Shahabi
Javad Frounchi
Mina Sadighi
Hadi Yousefi
author_sort Fatemeh Es'haghi
collection DOAJ
description 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 genetic animal epilepsy model. Moreover, 6 control rats were used to distinguish the differences of HR changes between various groups. Electrodes were placed on the skull and under the chest skin, minimizing time delay and signal attenuation. HR was calculated by an adaptable algorithm based on continues wavelet transform (CWT) particular for this study. Three main features of HR minimum, maximum, and mean values were estimated for pre-ictal and ictal intervals for all seizures. Results: ECG beats detected with sensitivity of 99.9% and positive predictability of 99.8% based on CWT. HR deceleration was found in 86% of the seizures. There were statistically significant (P<0.001) reductions of these values from pre-ictal to ictal intervals. Interictal HR acceleration and ictal deceleration were the major feature of alterations and in 23% of seizures, this decrease had priority to the onsets. Discussion: These findings may lead to design a seizure alarm system based on HR and to obtain new insights about sudden unexpected death in epilepsy (SUDEP) phenomenon and side-effects of antiepileptic drugs (AED).
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spelling doaj.art-289faf6a0ed5493ca864c59e95ef89752024-03-02T19:16:38ZengIran University of Medical SciencesBasic and Clinical Neuroscience2008-126X2228-74422015-04-0162123132Investigation of ECG Changes in Absence Epilepsy on WAG/ Rij RatsFatemeh Es'haghi0Parviz Shahabi1Javad Frounchi2Mina Sadighi3Hadi Yousefi4 Microelectronic&Microsensor Lab., Electrical and Computer Engineering Department, University of Tabriz, Tabriz, Iran School of Advanced Medical Science, Tabriz University of Medical Sciences, Tabriz, Iran Microelectronic&Microsensor Lab., Electrical and Computer Engineering Department, University of Tabriz, Tabriz, Iran Neuroscience Research center, Tabriz University of Medical Sciences, Tabriz, Iran 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 genetic animal epilepsy model. Moreover, 6 control rats were used to distinguish the differences of HR changes between various groups. Electrodes were placed on the skull and under the chest skin, minimizing time delay and signal attenuation. HR was calculated by an adaptable algorithm based on continues wavelet transform (CWT) particular for this study. Three main features of HR minimum, maximum, and mean values were estimated for pre-ictal and ictal intervals for all seizures. Results: ECG beats detected with sensitivity of 99.9% and positive predictability of 99.8% based on CWT. HR deceleration was found in 86% of the seizures. There were statistically significant (P<0.001) reductions of these values from pre-ictal to ictal intervals. Interictal HR acceleration and ictal deceleration were the major feature of alterations and in 23% of seizures, this decrease had priority to the onsets. Discussion: These findings may lead to design a seizure alarm system based on HR and to obtain new insights about sudden unexpected death in epilepsy (SUDEP) phenomenon and side-effects of antiepileptic drugs (AED).http://bcn.iums.ac.ir/browse.php?a_code=A-10-661-1&slc_lang=en&sid=1Absence seizure SWD Heart rate Continues wavelet transforms Seizure detection
spellingShingle Fatemeh Es'haghi
Parviz Shahabi
Javad Frounchi
Mina Sadighi
Hadi Yousefi
Investigation of ECG Changes in Absence Epilepsy on WAG/ Rij Rats
Basic and Clinical Neuroscience
Absence seizure
SWD
Heart rate
Continues wavelet transforms
Seizure detection
title Investigation of ECG Changes in Absence Epilepsy on WAG/ Rij Rats
title_full Investigation of ECG Changes in Absence Epilepsy on WAG/ Rij Rats
title_fullStr Investigation of ECG Changes in Absence Epilepsy on WAG/ Rij Rats
title_full_unstemmed Investigation of ECG Changes in Absence Epilepsy on WAG/ Rij Rats
title_short Investigation of ECG Changes in Absence Epilepsy on WAG/ Rij Rats
title_sort investigation of ecg changes in absence epilepsy on wag rij rats
topic Absence seizure
SWD
Heart rate
Continues wavelet transforms
Seizure detection
url http://bcn.iums.ac.ir/browse.php?a_code=A-10-661-1&slc_lang=en&sid=1
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