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ORCIDKeiji Iramina
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2020 – today
- 2024
[j19]Tustanah Phukhachee, Suthathip Maneewongvatana, Chayapol Chaiyanan
, Keiji Iramina, Boonserm Kaewkamnerdpong:
Identifying the Effect of Cognitive Motivation with the Method Based on Temporal Association Rule Mining Concept. Sensors 24(9): 2857 (2024)- 2023
- [j18]Sheng Ge, Jing He, Pan Lin, Ruimin Wang, Keiji Iramina, Yue Leng, Haixian Wang, Wenming Zheng, Chaoyong Xiao, Zonghong Li:
Effective Connectivity Analysis and Classification of Action Observation From Different Perspectives: An fMRI Study. IEEE Trans. Biomed. Eng. 70(2): 723-734 (2023) - [j17]Sheng Ge, Hui Yang, Ruimin Wang, Yue Leng, Keiji Iramina, Pan Lin, Haixian Wang:
Block Distributed Joint Temporal-Frequency- Phase Modulation for Steady-State Visual Evoked Potential Based Brain-Computer Interface With a Limited Number of Frequencies. IEEE J. Biomed. Health Informatics 27(4): 1835-1844 (2023) - [c24]Nyi Nyi Tun, Fumiya Sanuki, Keiji Iramina:
Brain-muscle Interaction Analysis with Time-variant Granger Causality. BSN 2023: 1-4 - 2022
- [j16]Fumiya Sanuki, Nonthaporn Nakphu, Ayumi Tahara, Keiji Iramina:
The comparison of electroencephalography power and event related potential in success and failure during multitask game. Frontiers Neurorobotics 16 (2022) - [j15]Zhaoxuan Li, Keiji Iramina:
Spatio-Temporal Neural Dynamics of Observing Non-Tool Manipulable Objects and Interactions. Sensors 22(20): 7771 (2022) - [c23]He Qiao, Ayumi Tahara, Nonthaporn Nakphu, Keiji Iramina:
Using Mean Pupil Diameter Change to Analyze Behavioral Performance in Multitasking Training Game. EMBC 2022: 1090-1093 - 2021
- [j14]Hadriana Iddas, Keiji Iramina:
Directed EEG Functional Connectivity Features to Reveal Different Attention Indexes Using Hierarchical Clustering. IEEE Access 9: 59328-59335 (2021) - [j13]Chayapol Chaiyanan, Keiji Iramina, Boonserm Kaewkamnerdpong:
Investigation on Identifying Implicit Learning Event from EEG Signal Using Multiscale Entropy and Artificial Bee Colony. Entropy 23(5): 617 (2021) - [j12]Nyi Nyi Tun, Fumiya Sanuki, Keiji Iramina:
Electroencephalogram-Electromyogram Functional Coupling and Delay Time Change Based on Motor Task Performance. Sensors 21(13): 4380 (2021) - [c22]Nyi Nyi Tun, Fumiya Sanuki, Keiji Iramina:
EEG-EMG Correlation Analysis with Linear and Nonlinear Coupling Methods Across Four Motor Tasks. EMBC 2021: 783-786 - 2020
- [j11]Thanate Angsuwatanakul, Jamie A. O'Reilly, Kajornvut Ounjai, Boonserm Kaewkamnerdpong, Keiji Iramina:
Multiscale Entropy as a New Feature for EEG and fNIRS Analysis. Entropy 22(2): 189 (2020)
2010 – 2019
- 2019
- [j10]Fadilla Zennifa, Keiji Iramina:
Quantitative Formula of Blink Rates-Pupillometry for Attention Level Detection in Supervised Machine Learning. IEEE Access 7: 96263-96271 (2019) - [j9]Tustanah Phukhachee, Suthathip Maneewongvatana, Thanate Angsuwatanakul, Keiji Iramina, Boonserm Kaewkamnerdpong:
Investigating the Effect of Intrinsic Motivation on Alpha Desynchronization Using Sample Entropy. Entropy 21(3): 237 (2019) - [j8]Ruimin Wang, Sheng Ge, Noha Mohsen Zommara, Karine Ravienna, Teodora Espinoza, Keiji Iramina:
Consistency and dynamical changes of directional information flow in different brain states: A comparison of working memory and resting-state using EEG. NeuroImage 203 (2019) - [c21]Ruimin Wang, Sheng Ge, Noha Mohsen Zommara, Wenwei Zheng, Keiji Iramina:
Auditory White Noise Affects Left/Right Visual Working Memory in an Opposite Pattern. EMBC 2019: 2719-2722 - 2018
- [j7]Fadilla Zennifa, Sho Ageno, Shota Hatano, Keiji Iramina:
Hybrid System for Engagement Recognition During Cognitive Tasks Using a CFS + KNN Algorithm. Sensors 18(11): 3691 (2018) - [j6]Sheng Ge, Yanhua Shi, Ruimin Wang, Pan Lin, Jun-Feng Gao, Gao-Peng Sun, Keiji Iramina, Yuankui Yang, Yue Leng, Haixian Wang, Wenming Zheng:
Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain-Computer Interfaces. IEEE J. Biomed. Health Informatics 22(5): 1373-1384 (2018) - [c20]Yichuan Jiang, Xinyu Chen, Hui Liu, Yue Leng, Yuankui Yang, Pan Lin, Junfeng Gao, Ruimin Wang, Keiji Iramina, Sheng Ge:
Rapid Detection of Targets from Complex Backgrounds Based on Eye-tracking Data. CSAE 2018: 116:1-116:5 - 2017
- [j5]Sheng Ge, Meng-Yuan Ding, Zheng Zhang, Pan Lin, Jun-Feng Gao, Ruimin Wang, Gao-Peng Sun, Keiji Iramina, Hui-Hua Deng, Yuankui Yang, Yue Leng:
Temporal-Spatial Features of Intention Understanding Based on EEG-fNIRS Bimodal Measurement. IEEE Access 5: 14245-14258 (2017) - [j4]Sheng Ge, Ruimin Wang, Yue Leng, Haixian Wang, Pan Lin, Keiji Iramina:
A Double-Partial Least-Squares Model for the Detection of Steady-State Visual Evoked Potentials. IEEE J. Biomed. Health Informatics 21(4): 897-903 (2017) - [c19]Hui Liu, Wengming Zheng, Gao-Peng Sun, Yanhua Shi, Yue Leng, Pan Lin, Ruimin Wang, Yuankui Yang, Jun-Feng Gao, Haixian Wang, Keiji Iramina, Sheng Ge:
Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods. CISP-BMEI 2017: 1-5 - [c18]Gao-Peng Sun, Hui Liu, Yanhua Shi, Yue Leng, Pan Lin, Ruimin Wang, Yuankui Yang, Junfeng Gao, Haixian Wang, Keiji Iramina, Sheng Ge:
One class support vector machine based filter for improving the classification accuracy of SSVEP BCI. CISP-BMEI 2017: 1-5 - [c17]Ruimin Wang, Risako Kamezawa, Aiko Watanabe, Keiji Iramina:
EEG alpha power change during working memory encoding in adults with different memory performance levels. EMBC 2017: 982-985 - [c16]Tustanah Phukhachee, Suthathip Maneewongvatana, Boonserm Kaewkamnerdpong, Thanate Angsuwatanakul, Keiji Iramina:
Measuring brain activation by using baseline-normalized event-related spectral perturbation in working memory task. EMBC 2017: 4379-4382 - [c15]Jongseung Lee, Nobutaka Mukae, Jumpei Arata, Hiroyuki Iwata, Keiji Iramina, Koji Iihara, Makoto Hashizume:
A multichannel-near-infrared-spectroscopy-triggered robotic hand rehabilitation system for stroke patients. ICORR 2017: 158-163 - 2016
- [j3]Miki Kaneko, Yushiro Yamashita, Keiji Iramina:
Quantitative Evaluation System of Soft Neurological Signs for Children with Attention Deficit Hyperactivity Disorder. Sensors 16(1): 116 (2016) - [c14]Aya Sato, Xiang-Qun Liu, Tetsuya Torii, Masakuni Iwahashi, Keiji Iramina:
Modulation of motor cortex excitability by peripheral magnetic stimulation of different stimulus sites and frequencies. EMBC 2016: 6413-6416 - 2015
- [j2]Miki Kaneko, Yushiro Yamashita, Osamu Inomoto, Keiji Iramina:
Soft Neurological Signs in Childhood by Measurement of Arm Movements Using Acceleration and Angular Velocity Sensors. Sensors 15(10): 25793-25808 (2015) - [c13]Fadilla Zennifa, Junko Ide, Yukio Noguchi, Keiji Iramina:
Monitoring of cognitive state on mental retardation child using EEG, ECG and NIRS in four years study. EMBC 2015: 6610-6613 - 2014
- [c12]Ruimin Wang, Yue Leng, Yuankui Yang, Wen Wu, Keiji Iramina, Sheng Ge:
A partial least squares-based stimulus frequency recognition model for steady-state visual evoked potentials detection. BMEI 2014: 699-703 - [c11]Fadilla Zennifa, Fitrilina, Husnil Kamil, Keiji Iramina:
Prototype early warning system for heart disease detection using Android application. EMBC 2014: 3468-3471 - 2013
- [c10]Aya Sato, Tetsuya Torii, Yukiko Nakahara, Masakuni Iwahashi, Yuji Itoh, Keiji Iramina:
The impact of rTMS over the dorsolateral prefrontal cortex on cognitive processing. EMBC 2013: 1988-1991 - [c9]Kazuhisa Nojima, Yoshinori Katayama, Keiji Iramina:
Predicting rTMS effect for deciding stimulation parameters. EMBC 2013: 6369-6372 - [c8]Kaori Tamura, Chihiro Karube, Takaaki Mizuba, Mayumi Matsufuji, Sachio Takashima, Keiji Iramina:
Measurement of brain activity responded by subjects'own name using EEG. EMBC 2013: 7412-7415 - 2012
- [c7]Tetsuya Torii, Aya Sato, Masakuni Iwahashi, Yuji Itoh, Keiji Iramina:
Time-dependent effects of low-frequency repetitive transcranial magnetic stimulation of the supramarginal gyrus. EMBC 2012: 3372-3375 - [c6]Miki Kaneko, Hiroshi Okui, Go Hirakawa, Hiroshi Ishinishi, Yoshinori Katayama, Keiji Iramina:
Aging curve of neuromotor function by pronation and supination of forearms using three-dimensional wireless acceleration and angular velocity sensors. EMBC 2012: 4676-4679 - 2011
- [c5]X. U. Mingdi, Keiji Iramina:
The influence of stimulus onset asynchrony on neuronal suppressive phenomenon in face processing: An event-related potential study. EMBC 2011: 3849-3852 - [c4]Keiji Iramina, Yuuichiro Kamei, Yoshinori Katayama:
Evaluation system for minor nervous dysfunction by pronation and supination of forearm using wireless acceleration and angular velocity sensors. EMBC 2011: 7364-7367 - [c3]Kazuhisa Nojima, Sheng Ge, Yoshinori Katayama, Keiji Iramina:
Relationship between pulse number of rTMS and inter reversal time of perceptual reversal. EMBC 2011: 8106-8109
2000 – 2009
- 2006
- [c2]Sheng Ge, Akira Matsuoka, Shoogo Ueno, Keiji Iramina:
TMS Effect on Visual Search Task. EMBC 2006: 1118-1120 - [c1]Sheng Ge, Takashi Saito, Jing-Long Wu, Keiji Iramina:
A Study on Some Optical Illusions Based upon the Theory of Inducing Field. EMBC 2006: 4205-4208
1990 – 1999
- 1993
- [j1]Shoogo Ueno, Keiji Iramina:
Measurement of the Magnetoencephalogram and Source Model in the Brain. J. Robotics Mechatronics 5(3): 236-243 (1993)
Coauthor Index
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last updated on 2024-06-19 21:48 CEST by the dblp team
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