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Kyoung-Rog Lee

Researcher at KAIST

Publications -  20
Citations -  274

Kyoung-Rog Lee is an academic researcher from KAIST. The author has contributed to research in topics: Electrical impedance tomography & Instrumentation amplifier. The author has an hindex of 7, co-authored 20 publications receiving 153 citations.

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Journal ArticleDOI

A 1.4-m $\Omega$ -Sensitivity 94-dB Dynamic-Range Electrical Impedance Tomography SoC and 48-Channel Hub-SoC for 3-D Lung Ventilation Monitoring System

TL;DR: A wearable electrical impedance tomography (EIT) system is proposed for the portable real-time 3-D lung ventilation monitoring, and EIT images are reconstructed with 90% of accuracy, and up to 10 frames/s real- Time Difference lung images are successfully displayed.
Journal ArticleDOI

A Four-Camera VGA-Resolution Capsule Endoscope System With 80-Mb/s Body Channel Communication Transceiver and Sub-Centimeter Range Capsule Localization

TL;DR: A small form-factor, lightweight wireless capsule endoscope (WCE) system with body channel communication (BCC) transceiver ICs is proposed for VGA-resolution image transferring and capsule localization.
Journal ArticleDOI

A 502-GOPS and 0.984-mW Dual-Mode Intelligent ADAS SoC With Real-Time Semiglobal Matching and Intention Prediction for Smart Automotive Black Box System

TL;DR: An ADAS SoC with behavior analysis with Artificial Intelligence functions and hardware implementation of SGM is proposed, which has dual-mode operations of high-performance operation for intelligent ADAS with real-time SGM in D-Mode (d-mode) and ultralow-power operation for black box system in parking-mode.
Proceedings ArticleDOI

4-Camera VGA-resolution capsule endoscope with 80Mb/s body-channel communication transceiver and Sub-cm range capsule localization

TL;DR: C capsule endoscopes are emerging as an alternative to the cable-attached endoscope since not only mitigating pain and fear of patients but also acquiring additional information about unexplained lesions for accurate diagnoses, but their applicability has been mainly limited by insufficient viewing angles and image qualities.
Journal ArticleDOI

A 0.8-V 82.9- $\mu$ W In-Ear BCI Controller IC With 8.8 PEF EEG Instrumentation Amplifier and Wireless BAN Transceiver

TL;DR: From the measurement, the proposed BCI system accomplished 84% average accuracy for the binary selection task, and the entire integrated circuit (IC) consumes 82.9 $\mu \text{W}$ .