Epilepsy Diagnosis from EEG Signals Using Continuous Wavelet Transform-Based Depthwise Convolutional Neural Network Model
<b>Background/Objectives:</b> Epilepsy is a prevalent neurological disorder characterized by seizures that significantly impact individuals and their social environments. Given the unpredictable nature of epileptic seizures, developing automated epilepsy diagnosis systems is increasingly...
Saved in:
Main Authors: | Fırat Dişli, Mehmet Gedikpınar, Hüseyin Fırat, Abdulkadir Şengür, Hanifi Güldemir, Deepika Koundal |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/15/1/84 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
TDCN: A novel temporal depthwise convolutional network for short-term load forecasting
by: Mingping Liu, et al.
Published: (2025-04-01) -
Fault Diagnosis Method of Planetary Gearbox based on Wavelet Time-frequency Diagram and Convolutional Neural Network
by: Jianhua Zhou, et al.
Published: (2022-01-01) -
A Multi-Branch Convolution and Dynamic Weighting Method for Bearing Fault Diagnosis Based on Acoustic–Vibration Information Fusion
by: Xianming Sun, et al.
Published: (2025-01-01) -
The potential therapeutic role of berberine in treating epilepsy focusing on temporal lobe epilepsy: State of art and ongoing perspective
by: Bshra A. Alsfouk, et al.
Published: (2025-02-01) -
Innovative epilepsy management: a combined figure of EEG categorization and medication mechanisms
by: Mohamed Taha, et al.
Published: (2025-01-01)