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Suguru Kanoga
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Cited by
Year
Analysis of prefrontal single-channel EEG data for portable auditory ERP-based brain–computer interfaces
M Ogino, S Kanoga, M Muto, Y Mitsukura
Frontiers in human neuroscience 13, 250, 2019
252019
Assessing the effects of voluntary and involuntary eyeblinks in independent components of electroencephalogram
S Kanoga, M Nakanishi, Y Mitsukura
Neurocomputing 193, 20-32, 2016
242016
Eye blink artifact rejection in single-channel electroencephalographic signals by complete ensemble empirical mode decomposition and independent component analysis
S Kanoga, Y Mitsukura
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
192015
Are armband sEMG devices dense enough for long-term use?—Sensor placement shifts cause significant reduction in recognition accuracy
S Kanoga, A Kanemura, H Asoh
Biomedical Signal Processing and Control 60, 101981, 2020
182020
Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms
S Kanoga, A Kanemura, H Asoh
Neurocomputing 347, 240-250, 2019
152019
Review of artifact rejection methods for electroencephalographic systems
S Kanoga, Y Mitsukura
Electroencephalography 69 (Nov), 69-89, 2017
152017
Assessing the effect of transfer learning on myoelectric control systems with three electrode positions
S Kanoga, A Kanemura
2018 IEEE International Conference on Industrial Technology (ICIT), 1478-1483, 2018
112018
Subject transfer framework based on source selection and semi-supervised style transfer mapping for sEMG pattern recognition
S Kanoga, T Hoshino, H Asoh
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
102020
Semi-supervised style transfer mapping-based framework for sEMG-based pattern recognition with 1-or 2-DoF forearm motions
S Kanoga, T Hoshino, H Asoh
Biomedical Signal Processing and Control 68, 102817, 2021
82021
Eye-blink artifact reduction using 2-step nonnegative matrix factorization for single-channel electroencephalographic signals
S Kanoga, Y Mitsukura
Journal of Signal Processing 18 (5), 251-257, 2014
82014
Independent low-rank matrix analysis-based automatic artifact reduction technique applied to three BCI paradigms
S Kanoga, T Hoshino, H Asoh
Frontiers in Human Neuroscience 14, 173, 2020
72020
Transfer learning over time and position in wearable myoelectric control systems
S Kanoga, M Matsuoka, A Kanemura
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
52018
Robustness analysis of decoding SSVEPs in humans with head movements using a moving visual flicker
S Kanoga, M Nakanishi, A Murai, M Tada, A Kanemura
Journal of neural engineering 17 (1), 016009, 2019
42019
Proposing an eye blink artifact rejection technique from single-channel EEG signal using positive semi-definite tensor factorization
S Kanoga, Y Mitsukura
IEEJ Transactions on Electronics, Information and Systems 135 (7), 848-855, 2015
42015
Motor imagery classification of finger motions using multiclass CSP
M Kato, S Kanoga, T Hoshino, T Fukami
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
32020
A Comparative Study of Features and Classifiers in Single-channel EEG-based Motor Imagery BCI
S Kanoga, A Kanemura, H Asoh
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
32018
Semi-simulation experiments for quantifying the performance of SSVEP-based BCI after reducing artifacts from trapezius muscles
S Kanoga, M Nakanishi, A Murai, M Tada, A Kanemura
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
32018
ICA-based positive semidefinite matrix templates for eye-blink artifact removal from EEG signal with single-electrode
S Kanoga, Y Mitsukura
2015 10th Asian Control Conference (ASCC), 1-6, 2015
32015
Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer Mapping
S Kanoga, T Takase, T Hoshino, H Asoh
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
22021
Accuracy evaluation of human gait estimation by a sparse set of inertial measurement units
T Maruyama, H Toda, S Kanoga, M Tada, Y Endo
Activity and Behavior Computing, 51-61, 2021
22021
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