Seung-Bo Lee

14 papers B 3Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Interpretable machine learning for hypertension detection using photoplethysmography (PPG) signals and their derivatives.
Biomed. Signal Process. Control.
Min-Seo Song, Seung-Bo Lee
2024 J jnl
Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data.
J. Biomed. Informatics
Doyun Kwon, Young Mi Jung, Hyung-Chul Lee, Tae Kyong Kim, Kwangsoo Kim, Garam Lee, Dokyoon Kim, Seung-Bo Lee, Seung Mi Lee
2024 J jnl
PRISM: Deep metric learning based personal grouping method to reduce intersubject variability for motor imagery brain-computer interface.
Neurocomputing
Kyungdo Kim, Kwangsoo Kim, Seung-Bo Lee
2023 J jnl
Predicting Deterioration from Wearable Sensor Data in People with Mild COVID-19.
Sensors
Jin-Yeong Kang, Ye Seul Bae, Eui Kyu Chie, Seung-Bo Lee
2022 J jnl
Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability.
Comput. Methods Programs Biomed.
Jaesung Yoo, Ilhan Yoo, Ina Youn, Sung-Min Kim, Ri Yu, Kwangsoo Kim, Keewon Kim, Seung-Bo Lee
2020 B conf
Complex Motor Imagery-based Brain-Computer Interface System: A Comparison Between Different Classifiers.
SMC
Seung-Bo Lee, Min-Kyung Jung, Hakseung Kim, Seong-Whan Lee, Dong-Joo Kim
2019 B conf
Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature.
SMC
Seung-Bo Lee, Hakseung Kim, Seho Lee, Hyun-Ji Kim, Seong-Whan Lee, Dong-Joo Kim
2019 J jnl
Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification.
Inf. Sci.
Seung-Bo Lee, Hyun-Ji Kim, Hakseung Kim, Ji-Hoon Jeong, Seong-Whan Lee, Dong-Joo Kim
2019 — conf
Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping.
BCI
Young-Tak Kim, Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong, Seong-Whan Lee, Dong-Joo Kim
2019 — conf
Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification.
BCI
Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong, In-Nea Wang, Seong-Whan Lee, Dong-Joo Kim
2019 B conf
Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation.
SMC
Young-Tak Kim, Seho Lee, Hakseung Kim, Seung-Bo Lee, Seong-Whan Lee, Dong-Joo Kim
2018 J jnl
Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms.
Inf. Sci.
Yunsik Son, Seung-Bo Lee, Hakseung Kim, Eun-Suk Song, Hyub Huh, Marek Czosnyka, Dong-Joo Kim
2018 — conf
Robust arterial blood pressure onset detection method from signal artifacts.
BCI
Seung-Bo Lee, Eun-Suk Song, Hakseung Kim, Dong-Joo Kim
2017 — conf
Classification of computed tomography scanner manufacturer using support vector machine.
BCI
Seung-Bo Lee, Eun-Jin Jeong, Yunsik Son, Dong-Joo Kim