Auto-ranging DSM-ADC and LED Communication for Whole-life Neural Recording Module

  • Jaeouk Cho Korea Advanced Institute of Science and Technology https://orcid.org/0000-0001-7491-9560
  • Geunchang Seong Korea Advanced Institute of Science and Technology
  • Hongkyun Kim Korea Advanced Institute of Science and Technology
  • Dongyeol Seok Korea Advanced Institute of Science and Technology
  • Chul Kim Korea Advanced Institute of Science and Technology
Keywords: Closed loop neural stimulation, Wireless communication, Decimation filter, Delta sigma ADC

Abstract

This paper focused on establishing a closed-loop stimulation environment capable of accommodating multiple experimental animals. The key requirement for closed-loop stimulation is the ability to measure neural signals within the stimulation environment. To achieve simultaneous measurement of stimulation artifacts in the range of tens of mV and neural signals in the range of hundreds of V, a recording system with a large dynamic range is essential to prevent saturation caused by the high-intensity stimulation artifacts. Furthermore, to transmit the acquired data externally, down-sampling is essential to reduce power consumption. In this work, delta-sigma (DS) modulation and digital prediction techniques are used to ensure a high dynamic range and prevent saturation in the recording stage. Additionally, to facilitate the simultaneous transmission of data from multiple animals without signal degradation, an internal cascaded integrator-comb (CIC) filter is utilized to encode the down-sampled data. The proposed approach enables the creation of a robust closed-loop stimulation recording system capable of handling multiple subjects while maintaining data integrity. We present 8 channel neural recording chip with a 65-nm CMOS process and the entire chip area is 1 mm2. Two signals were transmitted and received at a distance of 10 cm with a 1 Mbit data rate without an error

Author Biographies

Jaeouk Cho, Korea Advanced Institute of Science and Technology

Jaeouk Cho (Student Member, IEEE) received the B.S. degree in biomedical engineering from Hanyang University, Seoul, Korea, in 2019, and the M.S degree in bio and brain engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea in 2021. Currently, he is working toward Ph.D. degree in bio and brain engineering at KAIST, Daejeon, Korea. His research interests include Neural recording IC and implantable biomedical devices.

Geunchang Seong, Korea Advanced Institute of Science and Technology

Geunchang Seong (Student Member, IEEE) received the B.S. and M.S. degree in bio and brain engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea, in 2020 and 2022. He is currently pursuing the Ph.D. degree in bio and brain engineering from KAIST. His research interests include bio-signal processing, integrated circuit (IC) chip design for biomedical healthcare system.

Hongkyun Kim, Korea Advanced Institute of Science and Technology

Hongkyun Kim (Student Member, IEEE) received the B.S. degree in electrical engineering from Kyunghee University, Suwon, Korea, in 2016, and the M.S. degree from the Graduate School for Green Transportation Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2018. Currently, he is working toward Ph.D. degree in bio and brain engineering at KAIST, Daejeon, Korea. His research interests include wireless power transfer system and power management ICs.

Dongyeol Seok, Korea Advanced Institute of Science and Technology

Dongyeol Seok received the B.S. degree in bio and brain engineering (major) and in science and technology policy (minor) from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea, in 2020. He is currently pursuing the M.S. degree in bio and brain engineering, KAIST. His research interests include EEG analog front-end, development of motion artifact-free EEG system, and integrated circuit (IC) chip design for biomedical healthcare system.

Chul Kim, Korea Advanced Institute of Science and Technology

Chul Kim (Senior Member, IEEE) is an assistant professor in the Department of Bio and Brain Engineering and the Program of Brain and Cognitive Engineering at Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea. He received the Ph.D. degree in 2017 from bioengineering, UC San Diego, La Jolla, CA, USA, where he was a postdoctoral fellow from 2017 to 2019. From 2009 to 2012, he was with SK HYNIX, Icheon, South Korea, where he designed power management circuitry for dynamic random-access memory. His current research interests include design of energy-efficient integrated circuits and systems for fully wireless brain-machine interfaces and unobtrusive wearable sensors.

Homepage: https://beee.kaist.ac.kr/home

Published
2023-10-01
How to Cite
Cho, J., Seong, G., Kim, H., Seok, D., & Kim, C. (2023). Auto-ranging DSM-ADC and LED Communication for Whole-life Neural Recording Module. Journal of Integrated Circuits and Systems, 9(4). https://doi.org/10.23075/jicas.2023.9.4.006
Section
Articles