Intraneural active probe for bidirectional peripheral nerve interface
Abstract
Advanced bionic prosthetics that can restore both the motor functionality and sensory perception of an amputee, require high-resolution recording and stimulation interfaces targeting the peripheral nervous system (PNS). To provide high nerve fiber selectivity, we propose a low-noise (3.67μVrms) low-power (2.24mW) and high-density CMOS microelectrode probe for intra-neural implantation. The probe is composed of two ICs, encapsulated in a biocompatible and hermetic package, each featuring 64 recording and 16 stimulation electrodes. A backend IC digitizes the recorded signals at 31.25kS/s and provides spike detection.
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Passive methods of charge balancing are commonly used to discharge the electrodes to a reference node following each stimulus pulse, provided that the stimulator IC can afford the necessary overhead area or time to achieve this.
“Passive methods of charge balancing are commonly used to discharge the electrodes to a reference node following each stimulus pulse, provided that the stimulator IC can afford the necessary overhead area or time to achieve this [67], [69].”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [69]
Cites
Kundu, A., Harreby, K. R., Yoshida, K., Boretius, T., Stieglitz, T., & Jensen, W. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2013.2267936 · Cited by 83 · see citing works
Very Low-Noise ENG Amplifier System Using CMOS Technology
Rieger, R., Schuettler, M., Pal, D., Clarke, C., Langlois, P., Taylor, J., & Donaldson, N. (2006) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2006.886731 · Cited by 57 · see citing works
Carboni, C., Bisoni, L., Carta, N., Puddu, R., Raspopović, S., Navarro, X., Raffo, L., & Barbaro, M. (2016) · Biomedical Microdevices · doi:10.1007/s10544-016-0043-5 · Cited by 16 · see citing works
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A review for the peripheral nerve interface designer
Larson, C. E., & Meng, E. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2019.108523 · Cited by 133 · see citing works
ElAnsary, M., Xu, J., Filho, J. S., Dutta, G., Long, L., Tejeiro, C., Shoukry, A., Tang, C., Kilinc, E., Joshi, J., et al. (2021) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2021.3113354 · Cited by 48 · see citing works
Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review
Habibollahi, M., Jiang, D., Lancashire, H. T., & Demosthenous, A. (2024) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2024.3430038 · Cited by 11 · see citing works
“…provide sensory perception and motor functionality has been proposed with high-density transverse intra-fascicular micro-electrodes (hd-TIME) [68], [69], [70] and active microchannel neural interface (MNI) systems [71], [72], where the electrodes are integrated into the IC and additional circuits,…”
- Authors
- Ballini, M., Bae, J., Marrocco, N., Verplancke, R., Schaubroeck, D., Cuypers, D., Cauwe, M., O'Callaghan, J., Fahmy, A., Maghari, N., Bashirullah, R., Van Hoof, C., Van Helleputte, N., de Beeck, M. O., Braeken, D., & Mitra, S.
- Affiliations
- IMEC (BE)
- Ghent University (BE)
- University of Florida (US)
- ORCID
- Venue
- 2017 Symposium on VLSI Circuits
- Publisher
- IEEE
- Published
- 2017-06
- Pages
- C50-C51
- ISSN
- 2166-9600 (ISSN-L)
- OpenAlex
- W2743629223
- Cited by
- 16
- References
- 3
- Citations by year
- 2025: 1 · 2024: 4 · 2022: 1 · 2021: 4 · 2020: 1 · 2019: 3 · 2018: 1 · 2017: 1
- FWCI
- 6.40
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Symposium on VLSI Circuits (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Funders
- Defense Advanced Research Projects Agency (N66001-15-C-4018)
- Advanced Research Projects Agency
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Keywords
- peripheral nerve interfaces, CMOS microelectrode array, neuroprosthetics, spike detection, high-density electrode arrays
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