An 8-Channel Ambulatory EEG Recording IC with In-Channel Fully-Analog Real-Time Motion Artifact Extraction and Removal
Author:
Affiliation:
1. Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Canadian Microelectronics Corporation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/4156126/4358093/10163474.pdf?arnumber=10163474
Cited by 6 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. NMM-Based Patient-Specific Temporally-Adaptive Stimulation Optimization for Seizure Control;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
2. Anti-artifacts techniques for neural recording front-ends in closed-loop brain-machine interface ICs;Frontiers in Neuroscience;2024-05-09
3. A 0.67 $\mu$V-IIRN super-T$\Omega$-Z$_{IN}$ 17.5 $\mu$W/Ch Active Electrode With In-Channel Boosted CMRR for Distributed EEG Monitoring;IEEE Transactions on Biomedical Circuits and Systems;2024-02
4. A Highly-Scalable Area-Efficient ADC-Direct Neural Recording Front-End with Proportional-Integral Single-Bit Feedback;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19
5. A Neural-ADC-Compatible Fully-Dynamic Lossless Adaptive Resolution Compression Technique for Energy-Constrained Bio-Signal Recording;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19
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