5 citations · 6 across the 3 of their papers we have counts for
3 papers
stat.ME2023
The WQN algorithm for EEG artifact removal in the absence of scale invariance
Matteo Dora, Stéphane Jaffard, David Holcman
Electroencephalogram (EEG) signals reflect brain activity across different brain states, characterized by distinct frequency distributions. Through multifractal analysis tools, we…
stat.ME2022★ 5 cited
The WQN algorithm to adaptively correct artifacts in the EEG signal
Matteo Dora, Stéphane Jaffard, David Holcman
Wavelet quantile normalization (WQN) is a nonparametric algorithm designed to efficiently remove transient artifacts from single-channel EEG in real-time clinical monitoring. Today…
q-bio.SC2018★ 1 cited
Active unidirectional network flow generates a packet molecular transport in cells
Matteo Dora, David Holcman
Internet, social media, neuronal or blood vessel are organized in complex networks. These networks are characterized by several quantities such as the underlying graph connectivity…