A 128-Channel 6 mW Wireless Neural Recording IC With Spike Feature Extraction and UWB Transmitter
Open accessAbstract
This paper reports a 128-channel neural recording integrated circuit (IC) with on-the-fly spike feature extraction and wireless telemetry. The chip consists of eight 16-channel front-end recording blocks, spike detection and feature extraction digital signal processor (DSP), ultra wideband (UWB) transmitter, and on-chip bias generators. Each recording channel has amplifiers with programmable gain and bandwidth to accommodate different types of biological signals. An analog-to-digital converter (ADC) shared by 16 amplifiers through time-multiplexing results in a balanced trade-off between the power consumption and chip area. A nonlinear energy operator (NEO) based spike detector is implemented for identifying spikes, which are further processed by a digital frequency-shaping filter. The computationally efficient spike detection and feature extraction algorithms attribute to an auspicious DSP implementation on-chip. UWB telemetry is designed to wirelessly transfer raw data from 128 recording channels at a data rate of 90 Mbit/s. The chip is realized in 0.35 mum complementary metal-oxide-semiconductor (CMOS) process with an area of 8.8 x 7.2 mm(2) and consumes 6 mW by employing a sequential turn-on architecture that selectively powers off idle analog circuit blocks. The chip has been tested for electrical specifications and verified in an ex vivo biological environment.
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Chae et al. described a method to minimize the power-area product of a neural recording system by properly selecting the number of channels that share a single ADC.
“Chae et al. [16] described a method to minimize the power–area product of a neural recording system though the proper selection of the number of channels that share a single ADC.”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [16]
On-chip signal processing, including spike detection and other data compression, is an emerging trend aimed at reducing transmitted data.
“Another emerging trend includes on-chip signal processing, such as spike detection [16, 54] or other forms of data compression [108, 132, 155] to reduce the amount of transmitted data.”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [16]
Continued shrinking of fine-line CMOS processes has helped increase channel counts and add capabilities such as on-chip analog-to-digital conversion and digital radio transmission.
“The steady reduction in fine-line CMOS technologies has contributed to increased channel counts [6, 77] and expanded capabilities, such as on-chip analog-to-digital conversion [49, 156] and digital radio transmission [16, 67].”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [16]
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- Authors
- Chae, M. S., Yang, Z., Yuce, M. R., Hoang, L., & Liu, W.
- Affiliations
- University of California, Santa Cruz (US)
- University of Newcastle Australia (AU)
- National Yang Ming Chiao Tung University (TW)
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2009-08
- Volume
- 17
- Issue
- 4
- Pages
- 312-321
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2098179667
- Cited by
- 369
- References
- 36
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 11 · 2023: 12 · 2022: 11 · 2021: 14 · 2020: 17 · 2019: 21 · 2018: 20 · 2017: 22 · 2016: 21 · 2015: 41 · 2014: 44 · 2013: 43 · 2012: 20
- FWCI
- 15.82
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (publishedVersion)
- PubMed (publishedVersion)
- NOVA (University of Newcastle Australia) (submittedVersion)
- Figshare (submittedVersion)
- 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 › Electrical and Electronic Engineering › Radio Frequency Integrated Circuit Design
- Keywords
- wireless neural recording, spike detection, ultra-wideband transmitter, nonlinear energy operator, low-power CMOS
- MeSH terms
- Action Potentials, Equipment Design, Nerve Net, Pattern Recognition, Automated, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Telemetry, Reproducibility of Results, Equipment Failure Analysis
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