Yasue Mitsukura
Keio University
366 Papers
1.1K Citations
Yasue Mitsukura is an academic researcher from Keio University. The author has contributed to research in topics: Feature extraction & Artificial neural network. The author has an hindex of 18, co-authored 352 publications. Previous affiliations of Yasue Mitsukura include University of Tokushima & Tokyo University of Agriculture and Technology.
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Papers
Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learning
Yuuki Tazawa,Kuo Ching Liang,Michitaka Yoshimura,Momoko Kitazawa,Yuriko Kaise,Akihiro Takamiya,Aiko Kishi,Toshiro Horigome,Yasue Mitsukura,Masaru Mimura,Taishiro Kishimoto +10 more
TL;DR: Wearable devices and machine learning may be useful in identifying depression as well as assessing severity based on data from wearable devices and 10-fold cross validation with the internal data was conducted.
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Deep neural network-based classification of cardiotocograms outperformed conventional algorithms.
Jun Ogasawara,Satoru Ikenoue,Hiroko Yamamoto,Motoshige Sato,Yoshifumi Kasuga,Yasue Mitsukura,Yuji Ikegaya,Yuji Ikegaya,Masato Yasui,Mamoru Tanaka,Daigo Ochiai +10 more
TL;DR: Wang et al. as discussed by the authors proposed a new deep neural network model (CTG-net) to detect compromised fetal status, which consists of three convolutional layers that extract temporal patterns and interrelationships between fetal heart rate and uterine contraction signals.
Online Voluntary Eye Blink Detection using Electrooculogram
Masaki Nakanishi,Yasue Mitsukura,Yijun Wang,Yu-Te Wang,Tzyy-Ping Jung +4 more
- 01 Mar 2014
TL;DR: This paper proof wink is suitable for trigger switch of BCI system, and online method for voluntary eye blink detection is presented.
Assessing the effects of voluntary and involuntary eyeblinks in independent components of electroencephalogram
TL;DR: Voluntary and involuntary eyeblink features obtained from all channels present significant differences in the delta band, and eyeblink effects cease to exist after the zero-crossing four (in the occipital region, two) times, regardless of the type.
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A genetic tuning algorithm of PID parameters
Yasue Mitsukura,Toru Yamamoto,Masahiro Kaneda +2 more
- 12 Oct 1997
TL;DR: A new genetic tuning algorithm is proposed, in which the search area of PID parameters is reduced sharply by considering an effective parameters' area from the viewpoint of the control performance.
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