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Lee, Donghyeon,Lee, Jiseoc,Kim, Hyoyi,Lee, Taewon,Soh, Jeongtae,Park, Miran,Kim, Changhwan,Lee, Yeon Ju,Cho, Seungryong IEEE 2017 IEEE transactions on medical imaging Vol.36 No.12
<P>A single-scan dual-energy low-dose cone-beam CT (CBCT) imaging technique that exploits a multi-slit filter is proposed in this paper. The multi-slit filter installed between the x-ray source and the scanned object is reciprocated during a scan. The x-ray beams through the slits would generate relatively low-energy x-ray projection data, while the filtered beams would make high-energy projection data. An iterative image reconstruction algorithm that uses an adaptive-steepest-descent method to minimize image total-variation under the constraint of data fidelity was applied to reconstructing the image from the low-energy projection data. Since the high-energy projection data suffer from a substantially high noise level due to the beam filtration, we have developed a new algorithm that exploits the joint sparsity between the low-and high-energy CT images for image reconstruction of the high-energy CT image. The proposed image reconstruction algorithm uses a gradient magnitude image (GMI) of the low-energy CT image by regularizing the difference of GMIs of the low-and high-energy CT images to be minimized. The feasibility of the proposed technique has been demonstrated by the use of various phantoms in the experimental CBCT setup. Furthermore, based on the proposed dual-energy imaging, a material differentiation was performed and its potential utility has been shown. The proposed imaging technique produced promising results for its potential application to a low-dose single-scan dual-energy CBCT.</P>
Pain Facial Expression for Patient Robot in Care and Nursing Training Environments
Miran Lee,Deok-Hwan Kim,Joo-Ho Lee 한국차세대컴퓨팅학회 2021 한국차세대컴퓨팅학회 학술대회 Vol.2021 No.11
Care and nursing training (CNT) is to develop the ability to effectively respond to the needs by investigating patients' requests and improving trainee' care skills in a caring environment. Although conventional CNT program has been conducted based on videos, books, and role-playing, the best way is to practice on an actual human. However, it is challenging to recruit patients for training continually, and the patients may have experienced fatigue or boredom with iterative testing. As an alternative approach, a patient robot that reproduces various human diseases and provides feedback to trainees has been introduced. This study presents a patient robot that can express feelings of pain states like an actual human does in joint care education. The primary two objectives for the proposed patient robot-based care training system are (a) to infer the pain felt by the patient robot and intuitively provide the trainee with the patient's pain state, and (b) to provide the facial expressionbased visual feedback method of the patient robot for care training.
Torque Control for Sensor Equipped Motor-harmonic Drive System
Miran Lee,Bumjoo Lee 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.1
In this paper, the torque control algorithm for Sensor Equipped Motor-Harmonic Drive System is proposed. For the model-based control, the dynamic equation of the harmonic drive and the electric motor was derived as a lumped model, and the frictions of the harmonic drive and the bearings were regarded as disturbance. Consequently, a linear model in which the disturbance acts on the second order system without damping was formulated. The disturbance was estimated from the disturbance observer (DOB) and forward-compensated. Subsequently, the second order system without damping was stabilized by the three different kind of feedback algorithms. First, the integral differentiator control (ID control) algorithm was developed by using pole-zero cancellation. When the model parameters are incorrect, however, the system becomes unstable. To resolve this, the PID controller was considered to make the closed loop system as a second order standard form with damping. The PID controller is stable but has some chattering in steady state. Lastly, PD control with feed-forward augmentation was examined. Among the three controllers, the Feed-forward Augmented PD controller (FAPD controller) gived best result even with parameter inaccuracy. Control performances were verified by computer simulations and experiments with the developed.
Lee, Hyun Jung,Seo, MiRan,Lee, Eun Jig Bentham Science Publishers 2014 Current medicinal chemistry Vol.21 No.26
<P>Salvianolic acid B (Sal B), one of the most active components of Danshen extracts, has beneficial roles in the prevention and treatment of cardiovascular diseases. However, the precise mechanism by which Sal B exerts its effects on vascular cells is unclear. We aimed to elucidate the effects of Sal B on vascular cells and the underlying mechanisms.</P>
Lee, Miran,Ryu, Jaehwan,Kim, Deok-Hwan Electronics and Telecommunications Research Instit 2020 ETRI Journal Vol.42 No.2
Long-term electroencephalography (EEG) monitoring is time-consuming, and requires experts to interpret EEG signals to detect seizures in patients. In this paper, we propose a novel automated method called adaptive slope of wavelet coefficient counts over various thresholds (ASCOT) to classify patient episodes as seizure waveforms. ASCOT involves extracting the feature matrix by calculating the mean slope of wavelet coefficient counts over various thresholds in each frequency subband. We validated our method using our own database and a public database to avoid overtuning. The experimental results show that the proposed method achieved a reliable and promising accuracy in both our own database (98.93%) and the public database (99.78%). Finally, we evaluated the performance of the method considering various window sizes. In conclusion, the proposed method achieved a reliable seizure detection performance with a short-term window size. Therefore, our method can be utilized to interpret long-term EEG results and detect momentary seizure waveforms in diagnostic systems.
Lee, Wooram,Yoon, Sangwon,Choe, Jong Kwon,Lee, Miran,Choi, Yongju Elsevier 2018 Science of the Total Environment Vol.639 No.-
<P><B>Abstract</B></P> <P>This study investigates the effect of anionic surfactant modification on activated carbon (AC) to enhance the adsorption of ammonium ion in aqueous solution. Sodium dodecyl sulfate (SDS), sodium dodecyl benzene sulfonate (SDBS) or sodium octanoate (SO) was used for the modification. At the initial aqueous concentration of 55 mg NH<SUB>4</SUB>-N/L and the adsorbent dose of 50 g/L, the SDS-modified AC showed the highest ammonium removal efficiency of 82% among the modified ACs studied. The hydrophobic group of SDS was strongly attached to AC showing almost negligible desorption after the modification. At the same time, the sulfate functional group of SDS provided ion exchange sites favorable for the ammonium ion adsorption. By maximizing SDS loading to the AC, ammonium removal efficiency can further be improved (5% increase). When Na<SUP>+</SUP>, K<SUP>+</SUP> or Ca<SUP>2+</SUP> coexisted in the ammonium solution at the concentration of 55 mg/L, the inhibition effect of these cations on ammonium removal efficiency was negligible (<5%). This study shows the potential of anionic surfactant-modified ACs as the excellent adsorbents for ammonium removal from water.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Surfactant modification improves NH<SUB>4</SUB> <SUP>+</SUP> adsorption capacity of activated carbon (AC). </LI> <LI> Surfactants used for modification are stably bound to AC. </LI> <LI> SDS and SDBS provide AC with ion exchange sites favorable for NH<SUB>4</SUB> <SUP>+</SUP> adsorption. </LI> <LI> Inhibition effect of competing ions at the same concentration as NH<SUB>4</SUB> <SUP>+</SUP> is negligible. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>