کنفرانس مهندسی برق ایران

صفحه اصلی / سی و سومین کنفرانس بین المللی مهندسی برق

Exploring Graph Biomarkers and Connectivity in Epilepsy Through Graph Learning

نویسندگان :

Ali Khosravipour¹ Sepideh Hajipour Sardouie²

1- دانشگاه صنعتی شریف 2- دانشگاه صنعتی شریف

کلمات کلیدی :

Epileptic Seizures،EEG،Brain Connectivity،Power Spectral Density (PSD)،Graph Biomarkers،Graph Learning،Network Measures،Seizure Detection

چکیده :

Epileptic seizures are characterized by abnormal neural activity that disrupts brain connectivity, causing significant and transient changes in interactions between different brain regions. In this paper, we propose two potential graph biomarkers to assist in seizure detection. Our analysis consists of two main parts. First, we construct graphs representing the three distinct seizure phases: preictal, ictal, and postictal, using data from the CHB-MIT EEG dataset. This process involves three steps: calculating the power spectral density (PSD) of the EEG signals as features, learning weighted graphs based on these features, and sparsifying the graphs by retaining only the edges with statistically significant weight changes across the three phases. In the second part, we investigate two key network measures, characteristic path length (CPL) and node strength, assessing their potential as graph biomarkers by analyzing their behavior across the graphs for all three phases. The results show a substantial decrease in both CPL and strength values during the ictal phase compared to the preictal and postictal phases, reflecting impaired integration and disrupted connectivity in the brain during seizures. These findings show that CPL and node strength could be useful graph biomarkers for seizure detection, offering helpful insights for improving epilepsy diagnosis and treatment.

لیست مقالات

لیست مقالات بایگانی شده

یادگیری متری عمیق جهت شناسایی افراد

امیرعلی نسیمی - مهران صفایانی - مائده احمدی - عبدالرضا میرزائی

Reactive Power Management of PV Systems by Distributed Cooperative Control in Low Voltage Distribution Networks

Saeed Mahdavian Rostami - Mohsen Hamzeh

Downlink Energy Efficiency Maximization of RSMA 6G Networks with ADMM in Presence of Hardware Impairment

Mahdi Nouri - Zahra Saadaat Mousavi - Hamid Behroozi - Sima Sobhi-Givi - Nazih Khaddaj Mallat

Control of vienna rectifier with Discontinuous space vector modulation based on circuit level decoupling

Ali Roshandel - Mohammad Roshandel - Ebrahim Afjei

Design and fabrication of a microstrip phase shifter based on liquid crystal

Sadegh Rajabi Doulataabadi - Seyed Hossein Hosseini Biuki - Farid Khoshkhati - Seyed Abbas Jazayeri Moghadas - Mohammad Masoudi Mohammadi - Mehdi Ahmadi-Boroujeni

Weak GPS Signal Acquisition Based on Wavelet Transform Denoising and Deep Learning Method

Navid Moradi - Mohsen Nezhadshahbodaghi - Mohammad-Reza Mosavi

مبدل DC/DC افزاینده شبه‌رزونانسی مبتنی بر ضرب‌کننده‌ی ولتاژ ترکیبی با کلیدزنی نرم و بهره‌ی ولتاژ بالا

کوشا چوبداری عمران - رضا بیرانوند

Selenium Doped Hafnium Disulﬁde Alloy for Visible Photodetection

Mohammadreza Razeghizadeh - Mohsen Mazaherifar - Mahdi Pourfath

Design and Demonstration of a Novel Microfluidic Channel for Trapping Circulating Tumor Cells with Magnetophoresis

Atin Bakhshi - Seyed Ehsan Hosseininasab - Vahid Ghafouri - Mehdi Rahmanian - Majid Badiei Rostami

Wideband and Multi-band Frequency Selective Surfaces for Microwave Shielding

Mahmoodreza Marzban - Abbas Alighanbari

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.3.1