Title :
Transient behavior of cardiorespiratory interactions towards the onset of epileptic seizures
Author :
Varon, Carolina ; Jansen, Katrien ; Lagae, Lieven ; Faes, Luca ; Van Huffel, Sabine
Author_Institution :
Dept. of Electr. Eng.-ESAT, KU Leuven, Leuven, Belgium
Abstract :
Epileptic seizures are typically related to autonomic dysfunction. During seizures, the cardiac and respiratory mechanisms are deeply affected. This effect of epilepsy can also occur a few seconds before the seizure onset in the EEG. In addition, the interaction between respiration and heart rate is also expected to be affected. This study aims to determine whether the cardiorespiratory interactions change during seizures, and more importantly if they show a transient behavior towards the seizure onset. This is done by means of a time series method based on entropy decomposition applied to ECG and respiratory data. Here, the information carried by the heart rate that can be predicted by its own past, or by the past of the respiration, or by a combination of the two, is quantified. It is shown that cardiorespiratory interactions also change even before the onset of focal, and absence seizures. This suggests that early detection of focal seizures can be improved, and that detection of seizures without a clear effect on the heart rate (i.e. absence) can also be detected. In tonic/tonic-clonic seizures no consistent significant change in the autonomic controls was found.
Keywords :
associative processing; electrocardiography; electroencephalography; entropy; feature extraction; medical disorders; medical signal detection; medical signal processing; pneumodynamics; time series; ECG; EEG; absence seizure detection; absence seizure onset; autonomic control change; autonomic dysfunction; cardiac mechanism; cardiorespiratory interaction change; early focal seizure detection; entropy decomposition; epilepsy effect; epileptic seizure onset; focal seizure onset; heart rate information prediction; past heart rate-past respiration combination; respiration-heart rate interaction; respiratory data; respiratory mechanism; time series; tonic seizure; tonic-clonic seizure; transient cardiorespiratory interaction behavior; Abstracts; Electrocardiography; Epilepsy; Limiting; Oscillators; Physiology; Sensors;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2014
Print_ISBN :
978-1-4799-4346-3