A practical guide for synthetic fNIRS data generation.

Signal Processing, Computer-Assisted Spectroscopy, Near-Infrared Workflow

Journal

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
ISSN: 2694-0604
Titre abrégé: Annu Int Conf IEEE Eng Med Biol Soc
Pays: United States
ID NLM: 101763872

Informations de publication

Date de publication:
11 2021
Historique:
entrez: 11 12 2021
pubmed: 12 12 2021
medline: 29 12 2021
Statut: ppublish

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.

Identifiants

DOI: 10.1109/EMBC46164.2021.9631014 PMID: 34891418
pubmed: 34891418
doi: 10.1109/EMBC46164.2021.9631014
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

828-831

Auteurs

Jessica Gemignani (J)

Judit Gervain (J)

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Classifications MeSH

questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Traitement du signal assisté par ordinateur › A practical guide for synthetic fNIRS data generation.
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Analyse spectrale › Spectroscopie proche infrarouge › A practical guide for synthetic fNIRS data generation.
questionsmedicales.fr › Sciences de l'information › Analyse des systèmes › Flux de travaux › A practical guide for synthetic fNIRS data generation.