Very Low-Noise ENG Amplifier System Using CMOS Technology
Abstract
In this paper, we describe the design and testing of a system for recording electroneurographic signals (ENG) from a multielectrode nerve cuff (MEC). This device, which is an extension of the conventional nerve signal recording cuff, enables ENG to be classified by action potential velocity. In addition to electrical measurements, we provide preliminary in vitro data obtained from frogs that demonstrate the validity of the technique for the first time. Since typical ENG signals are extremely small, on the order of 1 1 microV, very low-noise, high-gain amplifiers are required. The ten-channel system we describe was realized in a 0.8 microm CMOS technology and detailed measured results are presented. The overall gain is 10 000 and the total input-referred root mean square (rms) noise in a bandwidth 1 Hz-5 kHZ is 291 nV. The active area is 12 mm(2) and the power consumption is 24 mW from +/-2.5 V power supplies.
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The choice of front-end amplifier gain is influenced by the required application, whether CNS or PNS recording, and by the system's power supply.
“The choice of gain is influenced by the required application (CNS or PNS recording) and the system’s power supply [107].”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [107]
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- Authors
- Rieger, R., Schuettler, M., Pal, D., Clarke, C., Langlois, P., Taylor, J., & Donaldson, N.
- Affiliations
- National Sun Yat-sen University (TW)
- Birla Institute of Technology, Mesra (IN)
- University of Bath (GB)
- University College London (GB)
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2006-12
- Volume
- 14
- Issue
- 4
- Pages
- 427-437
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2151735029
- Cited by
- 57
- References
- 24
- Citations by year
- 2024: 2 · 2020: 1 · 2019: 2 · 2017: 3 · 2016: 3 · 2015: 1 · 2014: 5 · 2013: 4 · 2012: 5
- FWCI
- 4.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/D03146X/1, GR/S93783/01)
- 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
- electroneurography, low noise amplifier, CMOS integrated circuit, high-gain amplifier
- MeSH terms
- Action Potentials, Amplifiers, Electronic, Diagnostic Techniques, Neurological, Electrodes, Implanted, Equipment Design, Microelectrodes, Peripheral Nerves, Semiconductors, Sensitivity and Specificity, Reproducibility of Results, Computer-Aided Design, Equipment Failure Analysis
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