Detail výsledku
ECG and EEG Analysis of Brain-Heart Interactions During Seizure Episodes
Seizure disorders, such as epilepsy, profoundly im- pact brain and autonomic
nervous system function, disrupting physiological interactions between the brain
and heart. This study investigates these brain-heart interactions by analyzing
Heart Rate Variability (HRV) and Electroencephalography (EEG) en- tropy during
seizure and non-seizure states. Utilizing a dataset from patients with
intractable seizures, key HRV parameters (e.g., SDNN, RMSSD, LF/HF ratio, etc.)
and EEG entropy measures (Approximate Entropy) were compared across seizure
episodes and baseline periods. Results indicate a significant reduction in HRV
metrics, such as SDNN and RMSSD, during seizures, suggesting autonomic imbalance
and heightened sympa- thetic activity. Additionally, the ECG signal exhibited
a marked increase in the T/R amplitude ratio during seizures, further reflecting
the heightened cardiac response and autonomic dys- regulation associated with
these episodes. EEG entropy analysis revealed a marked decrease in signal
complexity during seizures, indicating less dynamic brain activity. The combined
findings of reduced HRV increased T/R amplitude ratio and decreased EEG entropy
underscore the value of these biomarkers for assessing Brain-heart interaction
disruptions in seizure disorders. Our results highlight the potential for HRV,
T/R amplitude ratio, and EEG entropy as a non-invasive clinical tool to monitor
seizures activity and evaluate neurological health, paving the way for more
refined diagnostic and therapeutic approaches.
Heart Rate Variability (HRV), EEG Entropy, Brain-Heart Interaction, Seizure
Disorders, Neurological Health, Autonomic Nervous System
@inproceedings{BUT193361,
author="HUSSAIN, Y. and AMNA, R. and MALIK, A.",
title="ECG and EEG Analysis of Brain-Heart Interactions During Seizure Episodes",
booktitle="2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)",
year="2025",
pages="1--6",
publisher="IEEE Computer Society",
address="Chemnitz",
doi="10.1109/I2MTC62753.2025.11079108",
isbn="979-8-3315-0500-4",
url="https://ieeexplore.ieee.org/document/11079108"
}