Can ECG monitoring identify seizures?

Journal of Electrocardiology
Carolina VaronSabine Van Huffel

Abstract

Seizures affect the autonomic control of the heart rate and respiration, and changes in these two variables are known to occur during, and even before the EEG onset of the seizure. This work aims to quantify these changes and use them to identify the ECG onset. Single-lead ECG signals were recorded from patients suffering from focal and generalized seizures. Two algorithms are proposed: one quantifies changes in the QRS morphology using principal component analysis, and one assesses cardiorespiratory interactions using phase rectified signal averaging. Positive predictive values of 86.6% and 77.5% and sensitivities of 100% and 90% were achieved for focal and generalized seizures respectively. Results for focal seizures are in accordance with the literature, and detection of generalized seizures is improved after including respiratory information. These findings could improve monitoring systems in epilepsy, and closed-loop techniques that aim to stop seizures.

References

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Jan 22, 2015·IEEE Transactions on Neural Networks and Learning Systems·Carolina VaronJohan A K Suykens

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Citations

Jul 14, 2016·Methods of Information in Medicine·Christian BaumgartnerHerbert Witte
Apr 1, 2017·International Journal of Neural Systems·Thomas De CoomanSabine Van Huffel
Dec 1, 2017·Australasian Physical & Engineering Sciences in Medicine·T Sunil Kumar, Vivek Kanhangad
Nov 1, 2018·Clinical Autonomic Research : Official Journal of the Clinical Autonomic Research Society·Anouk van WestrhenenRoland D Thijs
Jul 13, 2019·Acta neurologica Belgica·Seda DagarYunsur Cevik
Aug 28, 2020·Frontiers in Neurology·Taeho KimTam Vu
May 20, 2017·Australasian Physical & Engineering Sciences in Medicine·Marcin KołodziejAndrzej Rysz
Jan 23, 2021·Physiological Measurement·Margot DeviaeneCarolina Varon
Jun 20, 2021·Epilepsy & Behavior : E&B·Meghan Hegarty-CraverKristin H Gilchrist
Jun 7, 2020··Tor WagerEvan Stene

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