Multibit Local Neighborhood Difference Pattern Optimization for Seizure Detection of West Syndrome EEG Signals-Reference-Cited by-同舟云学术

Multibit Local Neighborhood Difference Pattern Optimization for Seizure Detection of West Syndrome EEG Signals

Published:2023-10-01 Issue:19 Volume:23 Page:22693-22703
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhang Wei¹^ORCID,Wu Duanpo¹^ORCID,Cao Jiuwen²^ORCID,Jiang Lurong³^ORCID,Jiang Tiejia⁴^ORCID

Affiliation:

1. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China

2. Machine Learning and I-health International Cooperation Base of Zhejiang Province and the Artificial Intelligence Institute, Hangzhou Dianzi University, Zhejiang, China

3. School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China

4. Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China

Funder

National Key Research and Development Program

Joint Fund of Zhejiang Provincial Natural Science Foundation of China

Fundamental Research Funds for the Provincial Universities of Zhejiang

National Natural Science Foundation of China (NSFC)-Zhejiang Integration Joint Fund

Open Research Projects of Zhejiang Laboratory

Scientific Research Project of Zhejiang Provincial Department of Education

Graduate Scientific Research Foundation of Hangzhou Dianzi University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10269339/10224818.pdf?arnumber=10224818

Reference39 articles.

1. Lower Arm Electromyography (EMG) Activity Detection Using Local Binary Patterns

2. Multi-Feature Fusion Approach for Epileptic Seizure Detection From EEG Signals

3. 1D-local binary pattern based feature extraction for classification of epileptic EEG signals

4. Novel seizure detection algorithm based on multi-dimension feature selection

5. A novel approach for SEMG signal classification with adaptive local binary patterns

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1. A Novel Seizure Detection Method Based on the Feature Fusion of Multimodal Physiological Signals;IEEE Internet of Things Journal;2024-08-15

2. Optimization of EEG-EMG Fusion Network for West Syndrome Seizure Detection Based on Enhanced Artificial Rabbit Algorithm;IEEE Transactions on Instrumentation and Measurement;2024