Cited by 49Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit DesignWireless Body Area Networks

A 0.338cm<formula> <tex>$^{3}$</tex> </formula>, Artifact-Free, 64-Contact Neuromodulation Platform for Simultaneous Stimulation and Sensing

Rozgic, Dejan, Hokhikyan, Vahagn, Jiang, Wenlong, Akita, Ippei, Basir - Kazeruni, Sina, Chandrakumar, Hariprasad, Markovic, Dejan·2018·IEEE Transactions on Biomedical Circuits and Systems

Abstract

Neuromodulation (NM) is the alteration of nervous tissue function through targeted delivery of a stimulus, such as electrical stimulation, into the affected neurological sites in the body. We present a bidirectional NM interface that features 100 mVpp linear input range and ability to sense data concurrent with stimulation (without blanking). The system includes a flexible 8-driver-to-64-contact custom waveform stimulator able to deliver up to 5.1 mA per driver and a 64-contact sensing unit with online blind artifact rejection unit. This artifact rejection unit removes stimulation artifacts from recorded data and allows extraction of neural biomarkers. The NM interface also features an efficient, integrated power management unit that can support various power delivery options. The proposed 64-contact interface satisfies design requirements of human-grade brain implants at unprecedented level of electronic miniaturization compared to state-of-the-art.

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Crossref · 10.1109/tbcas.2018.2889040

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Authors
Rozgic, D., Hokhikyan, V., Jiang, W., Akita, I., Basir - Kazeruni, S., Chandrakumar, H., & Markovic, D.
Affiliations
  • University of California, Los Angeles (US)
  • National Institute of Advanced Industrial Science and Technology (JP)
Venue
IEEE Transactions on Biomedical Circuits and Systems
Published
2018
Volume
13
Issue
1
Pages
1-1
ISSN
  • 1932-4545 (ISSN-L)
  • 1940-9990
OpenAlex
W2909425830
Cited by
49
References
40
Citations by year
2025: 7 · 2024: 9 · 2023: 7 · 2022: 4 · 2021: 11 · 2020: 8 · 2019: 3
FWCI
2.48
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Transactions on Biomedical Circuits and Systems (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • U.S. Department of Defense
  • Lawrence Livermore National Laboratory
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
  • Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
Keywords
neuromodulation, bidirectional neural interface, neural markers, neural implants, power management, electronics miniaturization, neural recording
MeSH terms
Calibration, Electric Stimulation, Feedback, Humans, Nerve Tissue, Electric Power Supplies, Semiconductors, Artifacts, Wireless Technology

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