Taeju Lee

Orcid: 0000-0001-6304-3073

According to our database1, Taeju Lee authored at least 24 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
Noise Analysis for Performance Evaluation of Biopotential Recording Front-Ends.
CoRR, 2023

Brief Architectural Survey of Biopotential Recording Front-Ends since the 1970s.
CoRR, 2023

Trend Investigation of Biopotential Recording Front-End Channels for Invasive and Non-Invasive Applications.
CoRR, 2023

2022
Dynamic-Range-Enhancement Techniques for Artifact-Tolerant Biopotential-Acquisition ICs.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

A Multimodal Neural-Recording IC With Reconfigurable Analog Front-Ends for Improved Availability and Usability for Recording Channels.
IEEE Trans. Biomed. Circuits Syst., 2022

Inverter-Based Pseudo-Differential Reconfigurable Pixel Circuit Array for Multimodal and High-Density Neural Recordings.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Pseudo-Differential Neural-Recording Front-End Design Using High-Pass Cutoff Frequency Programmable Single-Ended Pixel.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021
Multimodal Neural Interface Circuits for Diverse Interaction With Neuronal Cell Population in Human Brain.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A Multimodal Neural Activity Readout Integrated Circuit for Recording Fluorescence and Electrical Signals.
IEEE Access, 2021

A Self-Powered Wireless Gas Sensor Node Based on Photovoltaic Energy Harvesting.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

A High-Precision Single-Ended-Current-to-Differential-Voltage Converter for Reconfigurable Neural Recording Front-Ends.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

A 5.7µW/Channel Folded-Current-Mirror-Based Reconfigurable Multimodal Neural Recording IC with Improved Hardware Availability.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

A Load-Current-Regulating OLED Lamp Driver Using a Hybrid Step-Up Converter with 93.21% Efficiency at a High Conversion Ratio of 4.1.
Proceedings of the 47th ESSCIRC 2021, 2021

A 99.5dB-DR 5kHz-BW Closed-Loop Neural-Recording IC based on Continuous-Time Dynamic-Zoom ΔΣ ADC with Automatic AFE-Gain Control.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021

A Neural Stimulation IC Based on a Reconfigurable Current DAC with In-Situ Neural Recording Function for Cochlear Implant Systems.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021

2020
Double-High-Pass-Filter-Based Electrical-Recording Front-Ends and Fluorescence-Recording Front-Ends for Monitoring Multimodal Neural Activity.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Implantable Neural-Recording Modules for Monitoring Electrical Neural Activity in the Central and Peripheral Nervous Systems.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

2019
A Multimodal Multichannel Neural Activity Readout IC with 0.7μW/Channel Ca<sup>2+</sup>-Probe-Based Fluorescence Recording and Electrical Recording.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

A Reconfigurable Neural Recording Front-End IC for Multimodal Operation.
Proceedings of the 2019 IEEE Asia Pacific Conference on Circuits and Systems, 2019

2018
A 110dB-CMRR 100dB-PSRR multi-channel neural-recording amplifier system using differentially regulated rejection ratio enhancement in 0.18μm CMOS.
Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018

A 4.86 µW/Channel Fully Differential Multi-Channel Neural Recording System.
Proceedings of the International SoC Design Conference, 2018

A 3.9μW, 81.3dB SNDR, DC-coupled, Time-based Neural Recording IC with Degeneration R-DAC for Bidirectional Neural Interface in 180nm CMOS.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2018

2017
A neural recording amplifier based on adaptive SNR optimization technique for long-term implantation.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

2009
Quantitative Analysis of Endodontic Treatment for Periapical Lesions in Intraoral Radiographs.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009


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