Y
Yongsu Lee
Researcher at KAIST
Publications - 28
Citations - 712
Yongsu Lee is an academic researcher from KAIST. The author has contributed to research in topics: Electrical impedance tomography & CMOS. The author has an hindex of 11, co-authored 28 publications receiving 488 citations.
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Journal ArticleDOI
Toward all-day wearable health monitoring: An ultralow-power, reflective organic pulse oximetry sensing patch
Hyeon Woo Lee,Eunhye Kim,Yongsu Lee,Hoyeon Kim,Jaeho Lee,Mincheol Kim,Hoi-Jun Yoo,Seunghyup Yoo +7 more
TL;DR: This work exploits the design freedom offered by organic technologies to realize a reflective patch-type pulse oximetry sensor with ultralow power consumption and demonstrates that organic devices not only have form factor advantages for such applications but also hold great promise as enablers for all-day wearable health monitoring systems.
Journal ArticleDOI
18.4 A 4.9mΩ-sensitivity mobile electrical impedance tomography IC for early breast-cancer detection system
TL;DR: X-ray mammography and ultrasonic screening are mainly used in hospitals for the early detection of breast cancer, but for personal cancer detection at home, currently, only unscientific palpation can be used, which is not particularly effective forEarly detection of tumors.
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A 82-nW Chaotic Map True Random Number Generator Based on a Sub-Ranging SAR ADC
TL;DR: An ultra-low power true random number generator (TRNG) based on a sub-ranging SAR analog-to-digital converter (ADC) is proposed, which successfully passes all of National Institute of Standards and Technology (NIST) tests, and it achieves the state-of-the-art figure- of-merit of 0.3 pJ/bit.
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A 79 pJ/b 80 Mb/s Full-Duplex Transceiver and a $42.5\;\upmu\text{W}$ 100 kb/s Super-Regenerative Transceiver for Body Channel Communication
Hyunwoo Cho,Hyunki Kim,Minseo Kim,Jaeeun Jang,Yongsu Lee,Kyuho Jason Lee,Joonsung Bae,Hoi-Jun Yoo +7 more
TL;DR: The proposed super-regenerative transceiver including an OOK transmitter and an R-C oscillator-based receiver achieves >60dB interference rejection with 100 kb/s data rate and 42.5μW power consumption under the 0.8 V supply.
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A Wearable EEG-HEG-HRV Multimodal System With Simultaneous Monitoring of tES for Mental Health Management
TL;DR: A multimodal mental management system in the shape of the wearable headband and earplugs is proposed to monitor electroencephalography, hemoencephalographic and heart rate variability for accurate mental health monitoring.