Marco CONGEDO
Chargé de Recherche CNRS
Equipe Vision and Brain Signal Processing
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : marco.congedo@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1195
Tél.33 (0)4 76 82 62 52
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Passive Head-Mounted Display Music-Listening EEG datasetEnregistrements EEG de sujets écoutant de la Musique avec et sans casque de Réalité Virtuel Passif

Grégoire Cattan, Pedro C. Rodrigues, Marco Congedo. Passive Head-Mounted Display Music-Listening EEG dataset. [Research Report] 2, Gipsa-Lab; IHMTEK. 2019. 〈hal-02085118v2〉

An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry

Elizaveta Saifutdinova, Marco Congedo, Daniela Dudysova, Lenka Lhotska, Jana Koprivova, et al.. An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry. Sensors, MDPI, 2019, 19 (3), pp.602. 〈10.3390/s19030602〉. 〈hal-02006300〉

Procrustes problems in Riemannian manifolds of positive definite matrices

Rajendra Bhatia, Marco Congedo. Procrustes problems in Riemannian manifolds of positive definite matrices. Linear Algebra and its Applications, Elsevier, 2019, 563, pp.440-445. 〈hal-02023293〉

Rapport sur la stimulation auditive à usage des interfaces cerveau-machinesReport on Auditory Stimulation in Brain-Computer Interfaces

Grégoire Cattan, Anton Andreev, Cesar Mendoza, Marco Congedo. Rapport sur la stimulation auditive à usage des interfaces cerveau-machines. [Rapport de recherche] Gipsa-lab; IHMTEK. 2019. 〈hal-01970139〉

The Riemannian Potato Field: A Tool for Online Signal Quality Index of EEG

Quentin Barthélemy, Louis Mayaud, David Ojeda, Marco Congedo. The Riemannian Potato Field: A Tool for Online Signal Quality Index of EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Institute of Electrical and Electronics Engineers, 2019, 27 (2), pp.244-255. 〈10.1109/TNSRE.2019.2893113〉. 〈hal-02015909〉

Riemannian Procrustes Analysis : Transfer Learning for Brain-Computer Interfaces

Pedro Luiz Coelho Rodrigues, Christian Jutten, Marco Congedo. Riemannian Procrustes Analysis : Transfer Learning for Brain-Computer Interfaces. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2018. 〈hal-01971856〉

Analysis of tagging latency when comparing event-related potentialsAnalyse de la latence du processus de taggage lors de la comparaison de potentiel evoqué

Grégoire Cattan, Anton Andreev, Bastien Maureille, Marco Congedo. Analysis of tagging latency when comparing event-related potentials. [Technical Report] Gipsa-Lab; IHMTEK. 2018. 〈hal-01947551〉

Non-Parametric Synchronization Measures used in EEG and MEG

Marco Congedo. Non-Parametric Synchronization Measures used in EEG and MEG. [Research Report] GIPSA-lab. 2018. 〈hal-01868538〉

The Analysis of Event-Related Potentials

Marco Congedo. The Analysis of Event-Related Potentials. Im C.-H. (eds) Computational EEG Analysis. Methods and Applications. Springer, Singapore , 2018. 〈hal-01867853〉

Multivariate Time-Series Analysis Via Manifold Learning

Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten. Multivariate Time-Series Analysis Via Manifold Learning. IEEE Statistical Signal Processing Workshop (SSP 2018), Jun 2018, Fribourg-en-Brisgau, Germany. IEEE, 2018 IEEE Statistical Signal Processing Workshop (SSP), 2018, 〈https://ssp2018.org/〉. 〈10.1109/SSP.2018.8450771〉. 〈hal-01868167〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal