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Seung-Bo Lee
ORCID
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 11
Top Topics
Comparative Analysis
Motor Imagery
Kernel Fisher
Support Vector
Top Venues
BCI
SMC
Inf. Sci.
Sensors
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Publications
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Jin-Yeong Kang
,
Ye Seul Bae
,
Eui Kyu Chie
,
Seung-Bo Lee
Predicting Deterioration from Wearable Sensor Data in People with Mild COVID-19.
Sensors
23 (23) (2023)
Jaesung Yoo
,
Ilhan Yoo
,
Ina Youn
,
Sung-Min Kim
,
Ri Yu
,
Kwangsoo Kim
,
Keewon Kim
,
Seung-Bo Lee
Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability.
Comput. Methods Programs Biomed.
226 (2022)
Seung-Bo Lee
,
Minkyung Jung
,
Hakseung Kim
,
Seong-Whan Lee
,
Dong-Joo Kim
Complex Motor Imagery-based Brain-Computer Interface System: A Comparison Between Different Classifiers.
SMC
(2020)
Young-Tak Kim
,
Seho Lee
,
Hakseung Kim
,
Seung-Bo Lee
,
Seong-Whan Lee
,
Dong-Joo Kim
Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation.
SMC
(2019)
Young-Tak Kim
,
Seung-Bo Lee
,
Hakseung Kim
,
Ji-Hoon Jeong
,
Seong-Whan Lee
,
Dong-Joo Kim
Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping.
BCI
(2019)
Seung-Bo Lee
,
Hakseung Kim
,
Seho Lee
,
Hyun-Ji Kim
,
Seong-Whan Lee
,
Dong-Joo Kim
Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature.
SMC
(2019)
Seung-Bo Lee
,
Hakseung Kim
,
Ji-Hoon Jeong
,
In-Nea Wang
,
Seong-Whan Lee
,
Dong-Joo Kim
Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification.
BCI
(2019)
Seung-Bo Lee
,
Hyun-Ji Kim
,
Hakseung Kim
,
Ji-Hoon Jeong
,
Seong-Whan Lee
,
Dong-Joo Kim
Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification.
Inf. Sci.
502 (2019)
Yunsik Son
,
Seung-Bo Lee
,
Hakseung Kim
,
Eun-Suk Song
,
Hyub Huh
,
Marek Czosnyka
,
Dong-Joo Kim
Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms.
Inf. Sci.
456 (2018)
Seung-Bo Lee
,
Eun-Suk Song
,
Hakseung Kim
,
Dong-Joo Kim
Robust arterial blood pressure onset detection method from signal artifacts.
BCI
(2018)
Seung-Bo Lee
,
Eun-Jin Jeong
,
Yunsik Son
,
Dong-Joo Kim
Classification of computed tomography scanner manufacturer using support vector machine.
BCI
(2017)