Peripheral Neural Activity Recording and Stimulation System
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This paper presents a portable, embedded, microcontroller-based system for bidirectional communication (recording and stimulation) between an electrode, implanted in the peripheral nervous system, and a host computer. The device is able to record and digitize spontaneous and/or evoked neural activities and store them in data files on a PC. In addition, the system has the capability of providing electrical stimulation of peripheral nerves, injecting biphasic current pulses with programmable duration, intensity, and frequency. The recording system provides a highly selective band-pass filter from 800 Hz to 3 kHz, with a gain of 56 dB. The amplification range can be further extended to 96 dB with a variable gain amplifier. The proposed acquisition/stimulation circuitry has been successfully tested through in vivo measurements, implanting a tf-LIFE electrode in the sciatic nerve of a rat. Once implanted, the device showed an input referred noise of 0.83 μVrms, was capable of recording signals below 10 μ V, and generated muscle responses to injected stimuli. The results demonstrate the capability of processing and transmitting neural signals with very low distortion and with a power consumption lower than 1 W. A graphic, user-friendly interface has been developed to facilitate the configuration of the entire system, providing the possibility to activate stimulation and monitor recordings in real time.
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Amplifier noise is typically designed to be lower than electrode noise and is maintained below 5 μVrms for CNS-recording amplifiers and below 1 μVrms for PNS-recording amplifiers.
“The noise introduced by the amplifier is typically designed to be lower than that introduced by the electrodes and, for a majority of neural applications, is maintained below 5 µVrms for amplifiers used to record CNS signals and less than 1 µVrms for PNS-recording amplifiers [76, 105].”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [76]
CNS-based neuroprostheses, or brain-machine interfaces, decode neural electrical activity to control robotic limbs or to stimulate muscles for restoring limb function.
“CNS-based neuroprostheses, or brain–machine interfaces (BMIs), are systems whereby neural electrical activities are decoded and used to control robotic limbs [76, 89, 105] or to stimulate muscles for restoring limb function [35].”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [76]
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Implantable neurotechnologies: a review of integrated circuit neural amplifiers
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- Authors
- Loi, D., Carboni, C., Angius, G., Angotzi, G. N., Barbaro, M., Raffo, L., Raspopovic, S., & Navarro, X.
- Affiliations
- University of Cagliari (IT)
- Italian Institute of Technology (IT)
- Universitat Autònoma de Barcelona (ES)
- Venue
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2011-08
- Volume
- 5
- Issue
- 4
- Pages
- 368-379
- ISSN
- 1932-4545 (ISSN-L)
- 1940-9990
- OpenAlex
- W2098006249
- Cited by
- 42
- References
- 41
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 2 · 2022: 1 · 2020: 2 · 2019: 2 · 2018: 5 · 2017: 4 · 2016: 3 · 2015: 4 · 2014: 3 · 2013: 5 · 2012: 6
- FWCI
- 1.98
- Type
- journal article
- Language
- en
- Open access
- green
- zenodo.org
- Locations
- IEEE Transactions on Biomedical Circuits and Systems (publishedVersion)
- PubMed (publishedVersion)
- UNICA IRIS Institutional Research Information System (University of Cagliari) (submittedVersion)
- CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Funders
- Scuola Superiore Sant'Anna
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Life Sciences › Neuroscience › Neurology › Vagus Nerve Stimulation Research
- Keywords
- peripheral nerve recording, peripheral nerve stimulation, bidirectional neural interface, implanted electrodes, microcontroller-based system, bandpass filter, variable gain amplifier, biphasic current pulses, sciatic nerve, rats, input-referred noise, low power consumption, real-time monitoring interface
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