An Implantable 64-Channel Wireless Microsystem for Single-Unit Neural Recording
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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Previous studies using either a symmetrical cascode OTA or a 2-stage Miller OTA reported NEFs ranging from 4 to 17.
“Indeed, previous studies [53, 98, 128], which used either a symmetrical cascode OTA or a 2-stage Miller OTA, reported NEFs ranging from 4 to 17.”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [128]
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- Authors
- Sodagar, A. M., Perlin, G. E., Yao, Y., Najafi, K., & Wise, K. D.
- Affiliations
- University of Michigan (US)
- Venue
- IEEE Journal of Solid-State Circuits
- Published
- 2009-09
- Volume
- 44
- Issue
- 9
- Pages
- 2591-2604
- ISSN
- 0018-9200 (ISSN-L)
- 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
- Locations
- IEEE Journal of Solid-State Circuits (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical 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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