A practical guide for synthetic fNIRS data generation
Résumé
The use of a large and diversified ground-truth synthetic fNIRS dataset enables researchers to objectively validate and compare data analysis procedures. In this work, we describe each step of the synthetic data generation workflow and we provide tools to generate the dataset.
Domaines
Sciences cognitives| Origine | Fichiers produits par l'(les) auteur(s) |
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