Analysis of passive charge balancing for safe current-mode neural stimulation
Abstract
Charge balancing has been often considered as one of the most critical requirement for neural stimulation circuits. Over the years several solutions have been proposed to precisely balance the charge transferred to the tissue during anodic and cathodic phases. Elaborate dynamic current sources/sinks with improved matching, and feedback loops have been proposed with a penalty on circuit complexity, area or power consumption. Here we review the dominant assumptions in safe stimulation protocols, and derive mathematical models to determine the effectiveness of passive charge balancing in a typical application scenario.
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The exact limit for safe injected residual charge varies in the literature.
“The exact limit for safe injected residual charge varies in the literature [124], [125].”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [125]
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- Authors
- Rueda, G. L. E., Ballini, M., Van Hellepute, N., & Mitra, S.
- Affiliations
- IMEC (BE)
- University of Glasgow (GB)
- Venue
- 2017 IEEE International Symposium on Circuits and Systems (ISCAS)
- Publisher
- IEEE
- Published
- 2017-05
- Pages
- 1-4
- ISSN
- 0271-4302 (ISSN-L)
- OpenAlex
- W2752075250
- Cited by
- 11
- References
- 18
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 2 · 2021: 1 · 2020: 2 · 2019: 2 · 2018: 1
- FWCI
- 5.33
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Symposium on Circuits and Systems proceedings (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
- 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 › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Keywords
- neurostimulation, stimulation safety, mathematical modeling, feedback loops, stimulation protocols
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