Focal artifact removal from ongoing EEG – a hybrid approach based on spatially-constrained ICA and wavelet de-noising
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5307844/5332379/05333725.pdf?arnumber=5333725
Cited by 8 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. Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals;Sensors;2021-09-23
2. Novel eye‐blink artefact detection algorithm from raw EEG signals using FCN‐based semantic segmentation method;IET Signal Processing;2020-10
3. The Electroencephalogram as a Biomarker Based on Signal Processing Using Nonlinear Techniques to Detect Dementia;Smart Innovation, Systems and Technologies;2018
4. Automatic Artifact Removal from Electroencephalogram Data Based on A Priori Artifact Information;BioMed Research International;2015
5. Role of EEG as Biomarker in the Early Detection and Classification of Dementia;The Scientific World Journal;2014
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