Seung-Bo Lee

Orcid: 0000-0002-6817-5793

According to our database1, Seung-Bo Lee authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data.
J. Biomed. Informatics, 2024

PRISM: Deep metric learning based personal grouping method to reduce intersubject variability for motor imagery brain-computer interface.
Neurocomputing, 2024

2023
Predicting Deterioration from Wearable Sensor Data in People with Mild COVID-19.
Sensors, December, 2023

2022
Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability.
Comput. Methods Programs Biomed., 2022

2020
Complex Motor Imagery-based Brain-Computer Interface System: A Comparison Between Different Classifiers.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification.
Inf. Sci., 2019

Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

2018
Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms.
Inf. Sci., 2018

Robust arterial blood pressure onset detection method from signal artifacts.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

2017
Classification of computed tomography scanner manufacturer using support vector machine.
Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017


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