Peri-ictal ECG changes in childhood epilepsy: implications for detection systems
Katrien Jansen1, Carolina Varon, Sabine Van Huffel
1Pediatric Neurology, University Hospitals Leuven, Belgium.
Insights
Early seizure detection in children using heart rate changes can improve epilepsy outcomes. This study found pre-seizure heart rate increases in 70% of focal seizures, aiding detection.
Area of Science:
- Pediatric Neurology
- Cardiology
- Biomedical Engineering
Background:
- Epilepsy in children carries significant risks.
- Early seizure detection is crucial for reducing morbidity and mortality.
- Identifying predictive markers for seizures can improve patient quality of life.
Purpose of the Study:
- To investigate the presence of ictal tachycardia in focal and generalized epileptic seizures in children.
- To determine if tachycardia can predict seizure onset.
- To identify informative electrocardiogram (ECG) parameters for seizure detection.
Main Methods:
- Analysis of ECG segments from 80 seizures in time and frequency domains, before and after electroencephalogram (EEG) seizure onset.
- Utilizing the Leutmezer et al. algorithm to correlate heart rate changes with seizure onset.
- Evaluating mean RR interval for specificity in detecting ictal heart rate changes.
Main Results:
- Significant differences in mean RR interval were observed before and after seizure onset in focal seizures (temporal and frontal lobe).
- Preictal heart rate changes occurred in 70% of partial seizures.
- Ictal heart rate changes were present exclusively in partial seizures in this pediatric cohort.
- Heart rate changes preceded seizure onset in 70% of focal seizures.
Conclusions:
- Heart rate changes, particularly preictal tachycardia, are reliable indicators for detecting focal epileptic seizures in children.
- These findings support the potential for seizure detection algorithms and closed-loop systems in managing refractory childhood epilepsy.
Abstract:
Early detection of seizures could reduce associated morbidity and mortality and improve the quality of life of patients with epilepsy. In this study, the aim was to investigate whether ictal tachycardia is present in focal and generalized epileptic seizures in children. We sought to predict in which type of seizures tachycardia can be identified before actual seizure onset. Electrocardiogram segments in 80 seizures were analyzed in time and frequency domains before and after the onset of epileptic seizures on EEG. These ECG parameters were analyzed to find the most informative ones that can be used for seizure detection. The algorithm of Leutmezer et al. was used to find the temporal relationship between the change in heart rate and seizure onset. In the time domain, the mean RR shows a significant difference before compared to after onset of the seizure in focal seizures. This can be observed in temporal lobe seizures as well as frontal lobe seizures. Calculation of mean RR interval has a high specificity for detection of ictal heart rate changes. Preictal heart rate changes are observed in 70% of the partial seizures. Ictal heart rate changes are present only in partial seizures in this childhood epilepsy study. The changes can be observed in temporal lobe seizures as well as in frontal lobe seizures. Heart rate changes precede seizure onset in 70% of the focal seizures, making seizure detection and closed-loop systems a possible therapeutic alternative in the population of children with refractory epilepsy.
Related Concept Videos
Epilepsy ll: Types
Epilepsy and Seizures: Overview
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
Seizures l: Introduction
Electrocardiogram
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and the T...
Seizures: Classification
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:


