ECG and EEG Analysis of Brain-Heart Interactions During Seizure Episodes
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
ECG and EEG Analysis of Brain-Heart Interactions During Seizure Episodes
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
ISBN
979-8-3315-0500-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE Computer Society
Place of publication
Chemnitz
Event location
Chemnitz
Event date
May 19, 2025
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
001554207900174