Riemannian Geometry Applied to Detection of Respiratory States From EEG Signals: The Basis for a Brain-Ventilator Interface.

scientific article published on 19 July 2016

Riemannian Geometry Applied to Detection of Respiratory States From EEG Signals: The Basis for a Brain-Ventilator Interface. is …
instance of (P31):
scholarly articleQ13442814

External links are
P818arXiv ID1601.03022
P8978DBLP publication IDjournals/tbe/Navarro-SuneHFM17
P356DOI10.1109/TBME.2016.2592820
P724Internet Archive IDarxiv-1601.03022
P698PubMed publication ID28129143

P50authorMario ChavezQ38321457
A WitonQ83268838
P2093author name stringJ Martinerie
T Similowski
M Raux
F De Vico Fallani
A L Hudson
X Navarro-Sune
P Pouget
P433issue5
P921main subjectventilatorQ813243
P1104number of pages11
P304page(s)1138-1148
P577publication date2016-07-19
P1433published inIEEE Transactions on Biomedical EngineeringQ15758806
P1476titleRiemannian Geometry Applied to Detection of Respiratory States From EEG Signals: The Basis for a Brain-Ventilator Interface
P478volume64

Reverse relations

cites work (P2860)
Q91260369Adjusting ventilator settings to relieve dyspnoea modifies brain activity in critically ill patients: an electroencephalogram pilot study
Q30758064Electroencephalographic detection of respiratory-related cortical activity in humans: from event-related approaches to continuous connectivity evaluation.
Q55233752The Relationship Between Respiratory-Related Premotor Potentials and Small Perturbations in Ventilation.

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