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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).
wavelet quantile normalization, artifact removal, eeg
wavelet quantile normalization, artifact removal, eeg
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