Dong-Ok Won

Dong-Ok Won
Korea University | KU · Department of Brain and Cognitive Engineering

About

25
Publications
2,150
Reads
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608
Citations
Citations since 2016
23 Research Items
608 Citations
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2016201720182019202020212022050100150200

Publications

Publications (25)
Article
To understand the black-box characteristics of deep networks, counterfactual explanation that deduces not only the important features of an input space but also how those features should be modified to classify input as a target class has gained an increasing interest. The patterns that deep networks have learned from a training dataset can be gras...
Article
The game of curling can be considered a good test bed for studying the interaction between artificial intelligence systems and the real world. In curling, the environmental characteristics change at every moment, and every throw has an impact on the outcome of the match. Furthermore, there is no time for relearning during a curling match due to the...
Preprint
To understand the black-box characteristics of deep networks, counterfactual explanation that deduces not only the important features of an input space but also how those features should be modified to classify input as a target class has gained an increasing interest. The patterns that deep networks have learned from a training dataset can be gras...
Preprint
Recently, visual perception (VP) and visual imagery (VI) paradigms are investigated in several brain-computer interface (BCI) studies. VP is defined as a changing of brain signals when perceiving visual information and VI is defined as a changing of brain signals when memorizing visual information. These paradigms could be alternatives to the previ...
Preprint
The patient must be given an adequate amount of propofol for safe surgery since overcapacity and low capacity cause accidents. However, the sensitivity of propofol varies from patient to patient, making it very difficult to determine the propofol requirements for anesthesia. This paper aims to propose a neurophysiological predictor of propofol requ...
Article
Full-text available
For a comprehensive understanding of the nervous system, several previous studies have examined the network connections between the brain and the heart in diverse conditions. In this study, we identified coupling between the brain and the heart along the continuum of sedation levels, but not in discrete sedation levels (e. g., wakefulness, consciou...
Conference Paper
Most artificial intelligence (AI) based learning systems act in virtual or laboratory environments. Here we demonstrate an AI-based curling robot system named `Curly' that competes on a real-world curling ice sheet. Curly encompasses (1) an AI-based curling strategy and simulation engine under consideration of the high `icy' uncertainty, (2) the th...
Article
In this paper, we propose a highly accurate and fast spelling system that employs multi-modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback technology. Over the last 20 years, various types of speller systems have been developed in brain-computer interface (BCI) and EOG/eye-tracking research; however, these convent...
Article
Full-text available
Reliable electroencephalography (EEG) signatures of transitions between consciousness and unconsciousness under anaesthesia have not yet been identified. Herein we examined network changes using graph theoretical analysis of high-density EEG during patient-titrated propofol-induced sedation. Responsiveness was used as a surrogate for consciousness....
Article
Full-text available
On sedation motivated by the clinical needs for safety and reliability, recent studies have attempted to identify brain-specific signatures for tracking patient transition into and out of consciousness, but the differences in neurophysiological effects between 1) the sedative types and 2) the presence/absence of surgical stimulations still remain u...
Data
Subject-wise time-courses of phase differences in the time domain with 5 × 5 fronto-parietal paired channels for two frequency ranges (theta and upper alpha) for several subjects, with (A) midazolam- and (B) propofol-induced sedation. (PDF)
Data
Dynamics of baseline-normalized time-series event-related spectral perturbations (ERSPs) from the five frontal channels for individual subject (4 of (A) midazolam and (B) propofol). Throughout the experiment, blue and red vertical lines denote the transition time-points of the LOC and the ROC for each subject, respectively. (PDF)
Data
Individual spatial distribution of the event-related spectral perturbations (ERSPs) in the upper alpha band at different points during the loss of consciousness (LOC), recovery of consciousness (ROC), and recovery phases according to the stage using (A) midazolam and (B) propofol. (PDF)
Article
Most event-related potential (ERP)-based braincomputer interface (BCI) spellers primarily use matrix layouts, and generally require moderate eye movement for successful operation. The fundamental objective of this study is to enhance the perceptibility of target characters by introducing motion stimuli to classical rapid serial visual presentation...
Conference Paper
Full-text available
How brain dynamics change across conscious states, including reliable signatures of the transitions between unconsciousness and consciousness, remains unclear. In this work, we addressed the changes in functional brain networks during self-titrated midazolam sedation using high-density electroencephalography (EEG) in ten subjects. We were particula...
Conference Paper
Recently, steady-state somatosensory evoked potentials (SSSEPs) which are brain responses to tactile stimulation of specific frequency in somatosensory have been researched in brain-computer interface (BCI) groups. Classification of both feet is important in gait control system. Previous SSSEP studies have mainly researched a feasibility of discrim...
Conference Paper
Most of event-related potential (ERP)-based brain-computer interface (BCI) spellers are limited practical value for paralyzed patients with severe oculomotor impairments. Recently, a gaze-independent BCI speller was proposed that uses rapid serial visual presentation (RSVP), but it is difficult to recognize targets because of the rapid presentation...
Article
Objective: Most existing brain-computer interface (BCI) designs based on steady-state visual evoked potentials (SSVEPs) primarily use low frequency visual stimuli (e.g., <20 Hz) to elicit relatively high SSVEP amplitudes. While low frequency stimuli could evoke photosensitivity-based epileptic seizures, high frequency stimuli generally show less v...
Conference Paper
Full-text available
We developed and studied a Steady-State Visual Evoked Potential (SSVEP) based BCI system using a high frequency visual stimuli (>25Hz) design for reducing visual fatigue. Existing SSVEP based BCI designs primarily use low frequency visual stimuli (<20Hz) for eliciting relatively higher SSVEP signal, while the low frequency stimuli can provocate pho...
Conference Paper
We propose an optimal duty-cycle selection method for steady state visual evoked potentials (SSVEP) based brain computer interface (BCI) system. In SSVEP based BCI, visual stimuli are usually selected in a low frequency range. However, previous studies showed that a higher frequency range is more visually comfortable than the low frequency range fo...

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