Framework of Applying Independent Component Analysis After Compressed Sensing for Electroencephalogram Signals-Reference-Cited by-同舟云学术

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Framework of Applying Independent Component Analysis After Compressed Sensing for Electroencephalogram Signals

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)
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Author:

KANEMOTO Daisuke,KATSUMATA Shun,AIHARA Masao,OHKI Makoto

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8572002/8584657/08584829.pdf?arnumber=8584829

Cited by 10 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. Reducing Power Consumption in LNA by Utilizing EEG Signals as Basis Matrix in Compressed Sensing;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

2. 0.36 μW/channel capacitively-coupled chopper instrumentation amplifier in EEG recording wearable devices for compressed sensing framework;Japanese Journal of Applied Physics;2024-02-23

3. Low quiescent current LDO with FVF-based PSRR enhanced circuit for EEG recording wearable devices;Japanese Journal of Applied Physics;2024-02-16

4. Utilizing Previously Acquired BSBL Algorithm Parameters in the Compressed Sensing Framework for EEG Measurements;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

5. Noise-Masking Cryptosystem Using Watermark and Chain Generation for EEG Measurement with Compressed Sensing;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

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