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Software . 2022
Data sources: Datacite
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ZENODO
Software . 2022
Data sources: Datacite
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Software . 2022
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Supporting code: Adaptive single-channel EEG artifact removal with applications to clinical monitoring

Authors: Dora, Matteo;

Supporting code: Adaptive single-channel EEG artifact removal with applications to clinical monitoring

Abstract

Please note that the WQN technique is protected by the patent "Computer-implemented method for assisting a general anesthesia of a subject" (File No. EP21306053). While you are free to experiment with it for purely experimental use (e.g. to test its effectiveness and verify the results reported in the published article), any other purpose (for example, part of industrial activity) may constitute patent infringement. In general, we are glad to allow its usage for research purposes, if you plan to use the algorithm for your research please contact David Holcman (david.holcman@ens.psl.eu) to get an exemption.

Supporting code for the article M. Dora and D. Holcman, "Adaptive single-channel EEG artifact removal for real-time clinical monitoring," IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022), doi: 10.1109/TNSRE.2022.3147072 (https://ieeexplore.ieee.org/abstract/document/9694664).

Related Organizations
Keywords

wavelet quantile normalization, artifact removal, eeg

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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