ECG and EEG Analysis of Brain-Heart Interactions During Seizure Episodes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0193361" target="_blank" >RIV/00216305:26230/26:0193361 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/11079108" target="_blank" >https://ieeexplore.ieee.org/document/11079108</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/I2MTC62753.2025.11079108" target="_blank" >10.1109/I2MTC62753.2025.11079108</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ECG and EEG Analysis of Brain-Heart Interactions During Seizure Episodes

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

ECG and EEG Analysis of Brain-Heart Interactions During Seizure Episodes

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

ISBN

979-8-3315-0500-4

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE Computer Society

Místo vydání

Chemnitz

Místo konání akce

Chemnitz

Datum konání akce

19. 5. 2025

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

001554207900174