ssvEEGc: An efficient EEG clustering method using balance-constrained voting mechanism-Reference-Cited by-同舟云学术

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ssvEEGc: An efficient EEG clustering method using balance-constrained voting mechanism

Published:2023-03 Issue: Volume:81 Page:104539
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Li Guanghui,Li Dong,Dai Chenglong^ORCID

Funder

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference39 articles.

1. A multi-modal parcellation of human cerebral cortex;Glasser;Nature,2016

2. EEG-based functional connectivity to analyze motor recovery after stroke: A pilot study;Eldeeb;Biomed. Signal Process. Control,2019

3. EEG feature pre-processing for neonatal epileptic seizure detection;Bogaarts;Ann. Biomed. Eng.,2014

4. Perception-related EEG is more sensitive to Alzheimer’s disease effects than resting EEG;Barzegaran;Neurobiol. Aging,2016

5. WiFind: Driver fatigue detection with fine-grained Wi-Fi signal features;Jia;IEEE Trans. Big Data,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive channel-weight dual-constrained semi-supervised EEG clustering;Biomedical Signal Processing and Control;2024-12

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