Denis Delisle-Rodriguez

ORCID iD
https://orcid.org/0000-0002-8937-031X
  • Country
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Cuba

Sources:
Denis Delisle-Rodriguez (2017-09-15)

  • Keywords
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brain-computer interface,

Sources:
Denis Delisle-Rodriguez (2017-12-26)

electroencephalography,

Sources:
Denis Delisle-Rodriguez (2017-12-26)

Feature selection,

Sources:
Denis Delisle-Rodriguez (2017-12-26)

Pattern recognition,

Sources:
Denis Delisle-Rodriguez (2017-12-26)

motor recognition,

Sources:
Denis Delisle-Rodriguez (2017-12-26)

Robotic exoskeleton,

Sources:
Denis Delisle-Rodriguez (2017-12-26)

electromyography,

Sources:
Denis Delisle-Rodriguez (2017-12-26)

emotions recognition,

Sources:
Denis Delisle-Rodriguez (2018-03-13)

thermography,

Sources:
Denis Delisle-Rodriguez (2018-03-13)

Heart rate variability,

Sources:
Denis Delisle-Rodriguez (2017-12-26)

pulse rate variability,

Sources:
Denis Delisle-Rodriguez (2018-03-13)

photopletismography

Sources:
Denis Delisle-Rodriguez (2018-03-13)

  • Websites
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CV from CNPq Lattes

Sources:
Denis Delisle-Rodriguez (2018-03-13)

CV from Google Scholar

Sources:
Denis Delisle-Rodriguez (2018-03-13)

Researchgate website

Sources:
Denis Delisle-Rodriguez (2018-03-13)

NTA group

Sources:
Denis Delisle-Rodriguez (2018-03-13)

  • Other IDs
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Scopus Author ID: 55580593600

Sources:
Scopus - Elsevier (2017-11-27)

Biography

Denis Delisle Rodríguez born at the Santiago de Cuba city, Cuba. He finished the career in Telecommunication and Electronic Engineering at the Faculty of Electrical Engineering from the University of Oriente (UO), Santiago de Cuba, Cuba (2005). At 2005, he jointed to the Center of Medical Biophysics from the University of Oriente, developing prototypes for biomedical research, such as movement analysis using surface electromyography (EMG) signals, and studies based on the pulse rate variability using electrocardiogram and photoplethysmography signals. He completed the Master in Science in Biomedical Engineering at the Faculty of Electrical Engineering from the University of Oriente, Santiago de Cuba, Cuba (2013). At 2017, he concluded the PhD in Electrical Engineering in the area of Robotic and Automation Intelligent, at the Faculty of Electrical Engineering from the Federal University of Espirito Santo, Brasil (2017). Currently, he is focused on biomedical signal processing, acting on the following subjects: electroencephalogram (EEG), EMG, pattern recognition applied to brain-computer interfaces(BCIs) for real and motor imagery task recognition, as well as emotion recognition using images.
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