본문 바로가기
KERD
논문KCI 등재

The Closed-Loop Neural Interface Available Simultaneously Recording and Stimulation Using Fast Convergence Stimulation Artifact Removal

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

The closed-loop neural interface is an actively researched field with broad applications. However, it has a serious issue in that stimulation itself makes huge artifacts (~mV) in the recording system saturating the amplifier, contaminating bio-signal (~ 50𝛍𝛍V) and the post-analysis during a disturbed period. Several stimulation artifact removal (SAR) techniques were presented but have trade-offs between conversion time and algorithm accuracy. Here, we suggested a closed-loop neural interface with a fast convergence SAR algorithm while sustaining adequate removal accuracy. The amplifier-free ADC-direct 2nd-order continuous delta-sigma modulator recording stage is adopted to provide ~15𝛍𝛍 Vrms input-referred integrated noise from 5Hz to 5kHz which is adequate to record bio-signal. Also, it succeeds in recording ~10mV signals about the size of the stimulation artifact. The fast-convergence SAR module provides stable accuracy under the versatile recording environment. The chip is designed using the TSMC 65-nm CMOS process. The chip is composed of 18 input channels, 2 SAR blocks, one stimulation channel, and 2 CIC filters for down-sampling. The entire chip area is 1mm2.

Abstract

The closed-loop neural interface is an actively researched field with broad applications. However, it has a serious issue in that stimulation itself makes huge artifacts (~mV) in the recording system saturating the amplifier, contaminating bio-signal (~ 50𝛍𝛍V) and the post-analysis during a disturbed period. Several stimulation artifact removal (SAR) techniques were presented but have trade-offs between conversion time and algorithm accuracy. Here, we suggested a closed-loop neural interface with a fast convergence SAR algorithm while sustaining adequate removal accuracy. The amplifier-free ADC-direct 2nd-order continuous delta-sigma modulator recording stage is adopted to provide ~15𝛍𝛍 Vrms input-referred integrated noise from 5Hz to 5kHz which is adequate to record bio-signal. Also, it succeeds in recording ~10mV signals about the size of the stimulation artifact. The fast-convergence SAR module provides stable accuracy under the versatile recording environment. The chip is designed using the TSMC 65-nm CMOS process. The chip is composed of 18 input channels, 2 SAR blocks, one stimulation channel, and 2 CIC filters for down-sampling. The entire chip area is 1mm2.

참고문헌 (14)

  1. Perin, C., "Non-invasive current stimulation in vision recovery : a review of the literature", Restorative Neurology and Neuroscience, 38(3), pp.239~250 (2020)
  2. Yamamoto, T., "Spinal cord stimulation for vegetative state and minimally conscious state : changes in consciousness level and motor function", Trends in Reconstructive Neurosurgery : Neurorehabilitation, Restoration and Reconstruction, pp.37~42 (2017)
  3. Ryvlin, P., "Neuromodulation in epilepsy : state-of-the-art approved therapies", The Lancet Neurology, 20(12), pp.1038~1047 (2021)
  4. Cho, J., "Energy-efficient integrated circuit solutions toward miniaturized closed-loop neural interface systems", Frontiers in neuroscience, 15, pp.667447~ (2021)
  5. Martinek, R., "Advanced bioelectrical signal processing methods : past, present and future approach—part I : cardiac signals", Sensors, 21(15), pp.5186~ (2021)
  6. Huang, C. C., "Front-end amplifier of low-noise and tunable BW", gain for portable biomedical signal acquisition, 2008 (2008), 2717~2720
  7. Kajikawa, Y., "How local is the local field potential?", Neuron, 72(5), pp.847~858 (2011)
  8. C. Kim, "Sub-μW Vrms-Noise Sub-μW", Channel ADC-Direct Neural Recording With 200-mV, IEEE Journal of Solid-State Circuits, pp.2018, 53(11)[DOI]
  9. Zhou, A., "A wireless and artefact-free 128-channel neuromodulation device for closed-loop stimulation and recording in non-human primates", Nature biomedical engineering, 3(1), pp.15~26 (2019)
  10. Samiei, A., "A bidirectional neural interface SoC with adaptive IIR stimulation artifact cancelers", IEEE journal of solid-state circuits, 56(7), pp.2142~2157 (2021)
  11. Limnuson, K., "A bidirectional neural interface SoC with an integrated spike recorder, microstimulator, and low-power processor for real-time stimulus artifact rejection", Analog Integrated Circuits and Signal Processing, 82, pp.457~470 (2015)
  12. 조재욱, "A 0. 89 μVrms Noise 93 dB High Dynamic Range Low Power 16 Channels Closed-Loop Neural Recording Chip", IDEC Journal of Integrated Circuits and Systems, 9(2), pp.1~6 (2023)
  13. Uehlin, J. P., "A single-chip bidirectional neural interface with high-voltage stimulation and adaptive artifact cancellation in standard CMOS", IEEE Journal of Solid-State Circuits, 55(7), pp.1749~1761 (2020)
  14. Culaclii, S., "Online artifact cancelation in same-electrode neural stimulation and recording using a combined hardware and software architecture", IEEE transactions on biomedical circuits and systems, 12(3), pp.601~613 (2018)

관련 논문AI추천

이 간행물의 다른 논문 (7건)