Seung-Bo Lee

发表

Hemodynamic Instability and Cardiovascular Events After Traumatic Brain Injury Predict Outcome After Artifact Removal With Deep Belief Network Analysis

Yunsik Son, Marek Czosnyka, Hakseung Kim, 2017, Journal of neurosurgical anesthesiology.

Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation

Dong-Joo Kim, Young-Tak Kim, Seong-Whan Lee, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Classification of computed tomography scanner manufacturer using support vector machine

Yunsik Son, Dong-Joo Kim, Eun-Jin Jeong, 2017, 2017 5th International Winter Conference on Brain-Computer Interface (BCI).

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

Dong-Joo Kim, Yunsik Son, Hakseung Kim, 2018, Inf. Sci..

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

Seong-Whan Lee, Dong-Joo Kim, Hakseung Kim, 2019, Inf. Sci..

Predicting Parkinson's disease using gradient boosting decision tree models with electroencephalography signals.

Sang Kun Lee, Hyoshin Son, Sungeun Hwang, 2022, Parkinsonism & related disorders.

Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping

Ji-Hoon Jeong, Young-Tak Kim, Dong-Joo Kim, 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification

Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee, 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature

Dong-Joo Kim, Seong-Whan Lee, Hakseung Kim, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury.

Marek Czosnyka, Frederick A Zeiler, Hakseung Kim, 2020, Journal of neurosurgery.

Robust arterial blood pressure onset detection method from signal artifacts

Dong-Joo Kim, Hakseung Kim, Seung-Bo Lee, 2018, 2018 6th International Conference on Brain-Computer Interface (BCI).