Cargando…
A Feature Extraction Method for Seizure Detection Based on Multi-Site Synchronous Changes and Edge Detection Algorithm
Automatic detection of epileptic seizures is important in epilepsy control and treatment, and specific feature extraction assists in accurate detection. We developed a feature extraction method for seizure detection based on multi-site synchronous changes and an edge detection algorithm. We investig...
Autores principales: | Gao, Xiang, Yang, Yufang, Zhang, Fang, Zhou, Fan, Zhu, Junming, Sun, Jie, Xu, Kedi, Chen, Yaowu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856467/ https://www.ncbi.nlm.nih.gov/pubmed/36672034 http://dx.doi.org/10.3390/brainsci13010052 |
Ejemplares similares
-
Combination of Matching Responsive Stimulations of Hippocampus and Subiculum for Effective Seizure Suppression in Temporal Lobe Epilepsy
por: Zhang, Fang, et al.
Publicado: (2021) -
Edge Detection-Based Feature Extraction for the Systems of Activity Recognition
por: Siddiqi, Muhammad Hameed, et al.
Publicado: (2022) -
Leaf and Stem-Based Dew Detection Algorithm via Multi-Convolutional Edge Detection Networks
por: Lv, Meibo, et al.
Publicado: (2022) -
Edge-Guided Camouflaged Object Detection via Multi-Level Feature Integration
por: Liu, Kangwei, et al.
Publicado: (2023) -
Pneumonia Detection Using an Improved Algorithm Based on Faster R-CNN
por: Yao, Shangjie, et al.
Publicado: (2021)