Optimal Selection of Intrinsic Mode Functions Applied to Seizure Detection
Context: Epilepsy is a severe chronic neurological disorder with considerable incidence due to recurrent seizures. These seizures can be detected and diagnosed noninvasively using an electroencephalogram. Empirical mode decomposition has shown excellent results in identifying epileptic crises. Metho...
Saved in:
| Main Authors: | Luis Daladier Guerrero Otoya, Maximiliano Bueno López, Eduardo Giraldo Suárez, Marta Molinas Cabrera |
|---|---|
| Format: | Article |
| Language: | Spanish |
| Published: |
Universidad Distrital Francisco José de Caldas
2025-04-01
|
| Series: | Ingeniería |
| Subjects: | |
| Online Access: | https://revistas.udistrital.edu.co/index.php/reving/article/view/22185 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hierarchical-Variational Mode Decomposition for Baseline Correction in Electroencephalogram Signals
by: Shireen Fathima, et al.
Published: (2023-01-01) -
Damage Identification in Concrete Using Instantaneous Dominant Frequency of Acoustic Emission Signals
by: Aijun Gu, et al.
Published: (2024-11-01) -
Comparison of Seizure Detection Performances of Features Based on Wavelet Transform and Empirical Mode Decomposition
by: Erhan Bergil, et al.
Published: (2016-11-01) -
Speech Enhancement Using Sliding Window Empirical Mode Decomposition and Hurst-based Technique
by: Selvaraj POOVARASAN, et al.
Published: (2019-07-01) -
RESEARCH ON FAULT DIAGNOSIS METHOD OF ROLLING BEAR BASED ON SYMBOLIC ANALYSIS OF INTRINSIC MODE FUNCTION
by: HOU HePing, et al.
Published: (2016-01-01)