Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ji-Hyoung Cha"'
A VCO-Based 2nd-Order Δ2–ΔΣ Modulator for Small-Size High Energy-Efficient Current Sensing Front-End
Publikováno v:
IEEE Solid-State Circuits Letters. 6:93-96
Publikováno v:
IEEE Journal of Solid-State Circuits. 57:2449-2461
Publikováno v:
2022 IEEE Asian Solid-State Circuits Conference (A-SSCC).
Autor:
Ji-Hyoung Cha, Jee-Ho Park, Yongjae Park, Hyogeun Shin, Kyeong Seob Hwang, Il-Joo Cho, Seong-Jin Kim
Publikováno v:
IEEE transactions on biomedical circuits and systems.
This article presents a CMOS microelectrode array (MEA) system with a reconfigurable sub-array multiplexing architecture using the time-division multiplexing (TDM) technique. The system consists of 24,320 TiN electrodes with 17.7 µm-pitch pixels and
Autor:
Ji-Hyoung Cha, Jee - Ho Park, Yongjae Park, Hyogeun Shin, Kyeong Seob Hwang, II-Joo Cho, Seong-Jin Kim
Publikováno v:
2022 IEEE International Solid- State Circuits Conference (ISSCC).
Publikováno v:
VLSI Circuits
A capacitively-coupled chopper instrument amplifier (CCIA) with dual positive feedback loops (DPFL) is proposed to achieve excellent noise efficiency and high total input impedance (T-Z IN ) simultaneously. The proposed DPFL consists of a conventiona
A Sub-${\mu}$W/Ch Analog Front-End for $\Delta $-Neural Recording With Spike-Driven Data Compression
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 13:1-14
We present a fully implantable neural recording IC with a spike-driven data compression scheme to improve the power efficiency and preserve crucial data for monitoring brain activities. A difference between two consecutive neural signals, $\Delta $ -
Autor:
Seong-Jin Kim, Ji-Hoon Kim, Il-Joo Cho, Minkyu Je, Doojin Jang, Namsun Chou, Ji-Hyoung Cha, Taeju Lee, Jee-Ho Park
Publikováno v:
VLSI Circuits
This paper presents a multimodal multichannel neural activity readout IC which can perform not only the electrical recording (ER) but also the fluorescence recording (FR) of neural activity for the cell-type-specific study of heterogeneous neuronal c
Publikováno v:
ISOCC
This paper presents a fully differential multi-channel neural recording system. The system consists of four key blocks which are a low-noise amplifier (LNA), programmable gain amplifier (PGA), buffer, and successive approximation register ADC (SAR AD