Publications

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  • Communication dans un congrès

A novel method to generalize time-frequency coherence analysis between EEG or EMG signals during repetitive trials with high intra-subject variability in duration

Maxime Fauvet, Sylvain Cremoux, Alexandre Chalard, Joseph Tisseyre, David Gasq, David Amarantini

Time-frequency coherence analysis between EEG and EMG signals represents a valuable tool to gain insight into neural mechanisms underlying motor control. However, for self-paced movements, the variability of inter-trial duration limits its proper use. To overcome this obstacle, we propose a time-…

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), Mar 2019, San Francisco (CA), United States. pp.437-440, ⟨10.1109/NER.2019.8716973⟩. ⟨hal-04364689⟩