, Prétraitement (120) : préparation des signaux bruts en vue de l'analyse (filtrage, rejet d'artéfacts?)

, Extraction de caractéristique (120) : transformation des signaux prétraités (données mesurées) pour générer une ou plusieurs valeurs dérivées (données calculées et appelées « caractéristiques ») en vue de les classifier

, Classification (121) : attribution d'une classe à un ensemble de caractéristiques extraites sur une fenêtre temporelle donnée

, Traduction : association d'une commande à la classe identifiée par le classifieur, éventuellement en vue de contrôler une application, pp.122-124

, Feedback : retour sensoriel à l'utilisateur de la BCI, afin de lui spécifier la classe reconnue. Le feedback permet d'améliorer le contrôle de la BCI

, INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005

. Cnrs-umr-7225,

. Equipe-de-statistique-appliquée and . Paris,

G. Ap-hp, C. Hospitalier-pitié-salpêtrière, and . Foix, Service de Pneumologie et Réanimation Médicale du Département R3S, F-75013

G. Ap-hp, C. Hospitalier-pitié-salpêtrière, and . Foix, Département d'Anesthésie-Réanimation, F-75013

, NB: normal breathing without loading, IRL: inspiratory resistive loading, ITL: inspiratory threshold loading, CO2: CO2 inhalation, NBWO: NB wash-out

, Comparison with NB by Friedman test and post-hoc Dunn tests: ** p < 0.01, *** p < 0.001, **** p <, pp.10-14

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, ANNEXES ANNEXE 1 -Avis favorable du CPP Ile-de-France VI pour l'étude DYSVENT