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

  • 11 Similar Profiles
Electroencephalography Engineering & Materials Science
Neural networks Engineering & Materials Science
Color Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Feature extraction Engineering & Materials Science
Principal component analysis Engineering & Materials Science
Face recognition Engineering & Materials Science
Computer simulation Engineering & Materials Science

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Research Output 1997 2019

  • 969 Citations
  • 13 h-Index
  • 222 Conference contribution
  • 67 Article
  • 1 Chapter
  • 1 Review article
1 Citation (Scopus)

Actigraphy for evaluation of mood disorders: A systematic review and meta-analysis

Tazawa, Y., Wada, M., Mitsukura, Y., Takamiya, A., Kitazawa, M., Yoshimura, M., Mimura, M. & Kishimoto, T., 2019 Jun 15, In : Journal of Affective Disorders. 253, p. 257-269 13 p.

Research output: Contribution to journalReview article

Mood Disorders

Analysis of Prefrontal Single-Channel EEG Data for Portable Auditory ERP-Based Brain–Computer Interfaces

Ogino, M., Kanoga, S., Muto, M. & Mitsukura, Y., 2019 Jul 25, In : Frontiers in Human Neuroscience. 13, 250.

Research output: Contribution to journalArticle

Open Access
Brain-Computer Interfaces
Evoked Potentials
Amyotrophic Lateral Sclerosis
Equipment and Supplies

Sleep stage detection using only heart rate

Mitsukura, Y., Fukunaga, K., Yasui, M. & Mimura, M., 2019 Jan 1, In : Health Informatics Journal.

Research output: Contribution to journalArticle

Sleep Stages
Heart Rate
Sleep Deprivation
1 Citation (Scopus)

A Mobile Application for Estimating Emotional Valence Using a Single-Channel EEG Device

Ogino, M. & Mitsukura, Y., 2018 Oct 15, 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018. Institute of Electrical and Electronics Engineers Inc., p. 1043-1048 6 p. 8492583

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

Mobile Applications

Amplitude and frequency feature extraction of neural activity in mouse ventrolateral striatum under different motivational states using fiber photometric system

Imai, S., Mitsukura, Y., Yoshida, K., Tsutsui-Kimura, I., Takata, N. & Tanaka, K., 2018 Jan 12, 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-6 6 p.

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

Feature extraction