Pablo Martinez
RIKEN Brain Science Institute
6 Papers
27 Citations
Pablo Martinez is an academic researcher from RIKEN Brain Science Institute. The author has contributed to research in topics: Brain–computer interface & Principal component analysis. The author has an hindex of 5, co-authored 6 publications.
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Papers
Fully online multicommand brain-computer interface with visual neurofeedback using SSVEP paradigm
TL;DR: The developed system allows a BCI user to navigate a small car on the computer screen in real time, in any of the four directions, and to stop it if necessary, and the high performance of the proposed online BCI system was confirmed.
Estimate of causality between independent cortical spatial patterns during movement volition in spinal cord injured patients.
Laura Astolfi,Hovagim Bakardjian,Febo Cincotti,Donatella Mattia,Maria Grazia Marciani,Fabrizio De Vico Fallani,Alfredo Colosimo,Serenella Salinari,Fumikazu Miwakeichi,Yoko Yamaguchi,Pablo Martinez,Andrzej Cichocki,A. Tocci,Fabio Babiloni +13 more
TL;DR: This study attempted to estimate the causality between distributed cortical systems during a movement volition task in preparation for execution of simple movements by a group of normal healthy subjects and by agroup of Spinal Cord Injured patients.
Removal of ocular artifacts for high resolution EEG studies: a simulation study.
Laura Astolfi,Febo Cincotti,Donatella Mattia,Fabio Babiloni,Maria Grazia Marciani,Fabrizio De Vico Fallani,Marco Mattiocco,Fumikazu Miwakeichi,Yoko Yamaguchi,Pablo Martinez,Serenella Salinari,A. Tocci,Hovagim Bakardjian,François Vialatte,Andrzej Cichocki +14 more
- 01 Jan 2006
TL;DR: This work quantifies the performance of the removal of EOG artifact due to the application of the independent component analysis (ICA) methodology by using a simulation setup, with a realistic head model, to mimic the occurrence of an eye blink.
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Multi-Command Real-Time Brain Machine Interface Using SSVEP: Feasibility Study for Occipital and Forehead Sensor Locations
Pablo Martinez,Hovagim Bakardjian,Andrzej Cichocki +2 more
- 01 Jan 2008
TL;DR: Extensive experiments with 4 young healthy subjects for two different electrode configurations (Occipital/Forehead), confirmed the high performance of the proposed on-line BMI system.
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Dynamic online target control of SSVEP-based brain–computer interface with multiple commands
TL;DR: This study proposes a multi-stage procedure for real-time BCI with an implementation for up to eight commands, and offers several novel points, such as integrated moving patterns for selective attention and minimal eye movement, as well as an online blind-source separation unit for artifact rejection, improved feature selection and a fuzzy classifier.
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