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 | 45 | 2020 |
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 | 40 | 2019 |
Assessing the effects of voluntary and involuntary eyeblinks in independent components of electroencephalogram S Kanoga, M Nakanishi, Y Mitsukura Neurocomputing 193, 20-32, 2016 | 38 | 2016 |
Review of artifact rejection methods for electroencephalographic systems S Kanoga, Y Mitsukura Electroencephalography 69 (Nov), 69-89, 2017 | 35 | 2017 |
Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers T Hoshino, S Kanoga, M Tsubaki, A Aoyama Neurocomputing 489, 599-612, 2022 | 29 | 2022 |
Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms S Kanoga, A Kanemura, H Asoh Neurocomputing 347, 240-250, 2019 | 26 | 2019 |
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 | 24 | 2021 |
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 | 24 | 2015 |
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 | 18 | 2020 |
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 | 17 | 2020 |
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 | 17 | 2020 |
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 | 16 | 2018 |
Semi-supervised learning for auditory event-related potential-based brain–computer interface M Ogino, S Kanoga, SI Ito, Y Mitsukura IEEE Access 9, 47008-47023, 2021 | 14 | 2021 |
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 | 12 | 2019 |
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 | 10 | 2014 |
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 | 9 | 2018 |
Comparison of seven shallow and deep regressors in continuous blood pressure and heart rate estimation using single-channel photoplethysmograms under three evaluation cases S Kanoga, T Hoshino, S Kamei, T Kobayashi, T Ohmori, M Uchiyama, ... Biomedical Signal Processing and Control 85, 105029, 2023 | 6 | 2023 |
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 | 6 | 2018 |
Estimating whole-body walking motion from inertial measurement units at wrist and heels using deep learning Y Kumano, S Kanoga, M Yamamoto, H Takemura, M Tada International Journal of Automation Technology 17 (3), 217-225, 2023 | 5 | 2023 |
Subject-transfer framework with unlabeled data based on multiple distance measures for surface electromyogram pattern recognition S Kanoga, T Hoshino, H Asoh Biomedical Signal Processing and Control 74, 103522, 2022 | 5 | 2022 |