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Fingerprint Dive into the research topics where Keiji Iramina is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Electroencephalography Engineering & Materials Science
Brain Engineering & Materials Science
Transcranial Magnetic Stimulation Medicine & Life Sciences
Bioelectric potentials Engineering & Materials Science
Magnetic fields Engineering & Materials Science
SQUIDs Engineering & Materials Science
Parietal Lobe Medicine & Life Sciences
Angular velocity Engineering & Materials Science

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Research Output 1986 2020

  • 688 Citations
  • 13 h-Index
  • 124 Article
  • 86 Conference contribution
  • 19 Conference article
  • 1 Editorial

Controlling the Wheelchair by Eye Movements Using EEG

Le, V. C. T., Le, N. T., Nguyen, H. N., Le, D. C. & Iramina, K., Jan 1 2020, 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) - Translational Health Science and Technology for Developing Countries, 2018. Van Toi, V., Le, T. Q., Ngo, H. T. & Nguyen, T-H. (eds.). Springer Verlag, p. 231-234 4 p. (IFMBE Proceedings; vol. 69).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wheelchairs
Eye movements
Electroencephalography
MATLAB
Direction compound

Consistency and dynamical changes of directional information flow in different brain states: A comparison of working memory and resting-state using EEG

Wang, R., Ge, S., Zommara, N. M., Ravienna, K., Espinoza, T. & Iramina, K., Dec 2019, In : NeuroImage. 203, 116188.

Research output: Contribution to journalArticle

Short-Term Memory
Electroencephalography
Brain
Maintenance
Entropy

Investigating the effect of intrinsic motivation on alpha desynchronization using sample entropy

Phukhachee, T., Maneewongvatana, S., Angsuwatanakul, T., Iramina, K. & Kaewkamnerdpong, B., Mar 1 2019, In : Entropy. 21, 3, 237.

Research output: Contribution to journalArticle

Open Access
electroencephalography
entropy
perturbation
learning
stimuli

Quantitative formula of blink rates-pupillometry for attention level detection in supervised machine learning

Zennifa, F. & Iramina, K., Jan 1 2019, In : IEEE Access. 7, p. 96263-96271 9 p., 8765718.

Research output: Contribution to journalArticle

Open Access
Near infrared spectroscopy
Learning systems
Labeling
Error detection
Electrodes
1 Citation (Scopus)

Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods

Liu, H., Zheng, W., Sun, G., Shi, Y., Leng, Y., Lin, P., Wang, R., Yang, Y., Gao, J. F., Wang, H., Iramina, K. & Ge, S., Feb 22 2018, Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017. Qiu, S., Liu, H., Sun, L., Wang, L., Li, Q. & Zhou, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1-5 5 p. (Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017; vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Language Development
Near infrared spectroscopy
Near-Infrared Spectroscopy
Socialization
Brain