Cited by 218Analog and Mixed-Signal Circuit DesignNeuroscience and Neural EngineeringWireless Body Area Networks

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An Implantable 64-Channel Wireless Microsystem for Single-Unit Neural Recording

Sodagar, Amir M., Perlin, Gayatri E., Yao, Ying, Najafi, Khalil, Wise, Kensall D.·2009·IEEE Journal of Solid-State Circuits

DOI 10.1109/jssc.2009.2023159

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Abstract

This paper reports an implantable microsystem capable of recording neural activity simultaneously on 64 channels, wirelessly transmitting spike occurrences to an external interface. The microsystem also allows the user to examine the spike waveforms on any channel with 8 bit resolution. Signals are amplified by 60 dB with a programmable bandwidth fromrms. The channel scan rate for spike detection is 62.5 kS/sec using a 2 MHz clock. The system dissipates 14.4 mW at 1.8 V, weighs 275 mg, and measures 1.4 cm 1.55 cm.

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Authors: Sodagar, A. M., Perlin, G. E., Yao, Y., Najafi, K., & Wise, K. D.
Affiliations: University of Michigan (US)
ORCID: Sodagar, Amir M.
Yao, Ying
Venue: IEEE Journal of Solid-State Circuits
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2009-09
Volume: 44
Issue: 9
Pages: 2591-2604
ISSN: 0018-9200 (ISSN-L)
DOI: 10.1109/jssc.2009.2023159
OpenAlex: W2144310300
Cited by: 218
References: 59
Citations by year: 2026: 4 · 2025: 3 · 2024: 1 · 2023: 10 · 2022: 8 · 2021: 6 · 2020: 4 · 2019: 18 · 2018: 15 · 2017: 15 · 2016: 16 · 2015: 17 · 2014: 23 · 2013: 26 · 2012: 17
FWCI: 10.21
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Journal of Solid-State Circuits (publishedVersion)
Topics: Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
Keywords: implantable neural recording, single-unit recording, wireless data transmission, spike detection, low-power analog front-end

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An Implantable 64-Channel Wireless Microsystem for Single-Unit Neural Recording

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