Comparing cardiac artifact removal algorithms for endovascular brain-computer interface recordings-Reference-Cited by-同舟云学术

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Comparing cardiac artifact removal algorithms for endovascular brain-computer interface recordings

Published:2024-02-26 Issue: Volume:46 Page:1-6
ISSN:
Container-title:2024 12th International Winter Conference on Brain-Computer Interface (BCI)
language:
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Author:

Rasheed Suleman¹,Bennett James²,Yoo Peter²,Opie Nicholas³,Burkitt Anthony N.⁴,Grayden David B.⁴

Affiliation:

1. The University of Melbourne, Australia & Synchron Inc,Dept of Biomedical Engineering & Graeme Clark Institute,Brooklyn,NY

2. Synchron Inc,Brooklyn,NY

3. The University of Melbourne, Australia & Synchron Inc,Dept of Medicine,Brooklyn,NY

4. The University of Melbourne,Dept of Biomedical Engineering & Graeme Clark Institute,Australia

Funder

Australian Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10480442/10480443/10480513.pdf?arnumber=10480513

Reference16 articles.

1. Motor neuroprosthesis implanted with neurointerventional surgery improves capacity for activities of daily living tasks in severe paralysis: first in-human experience

2. Assessment of Safety of a Fully Implanted Endovascular Brain-Computer Interface for Severe Paralysis in 4 Patients

3. Artifact Characterization and a Multipurpose Template-Based Offline Removal Solution for a Sensing-Enabled Deep Brain Stimulation Device

4. EOG correction of blinks with saccade coefficients: a test and revision of the aligned-artefact average solution

5. Adaptive filtering based artifact removal from electroencephalogram (EEG) signals

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