Energy efficient neural stimulator with dynamic supply modulation
Open accessAbstract
This paper reports an automatically reconfigurable series–parallel switched‐capacitor step‐down DC–DC converter for neural stimulation applications, fabricated with a 0.13 μm standard complementary metal oxide semiconductor process. The stimulator chip can generate pre‐programmed biphasic or dynamically programmed arbitrary current waveforms, up to ±127 μA peak with 7‐bit resolution. To improve the power efficiency, the supply voltages of the stimulating current sources are dynamically modulated following the output voltage. The functionality of the stimulator is verified in vitro using parylene‐based microelectrode arrays in phosphate‐buffered saline.
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Dynamic power supply regulators have been implemented using high-efficiency dc-dc converters, such as the forward-buck / reverse-boost and switched-capacitor topologies to modulate the stimulator supply based on the electrode voltage measurements.
“Dynamic power supply regulators have been implemented using high-efficiency dc-dc converters, such as the forward-buck / reverse-boost [131] and switched-capacitor [132] topologies to modulate the stimulator supply based on the electrode voltage measurements.”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [132]
Adaptive filtering methods rely on the least-mean-squares (LMS) algorithm to implement infinite impulse response (IIR) and finite impulse response (FIR) digital filters to address and cancel out individual samples of artifacts.
“Techniques such as adaptive filtering methods rely on the least-mean-squares (LMS) algorithm to implement infinite impulse response (IIR) and finite impulse response (FIR) digital filters to address and cancel out individual samples of artifacts [132], [194].”
From Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review (2024) · cites this paper as [132]
The System and circuit design section describes a current DAC and switched-capacitor supply modulation, not adaptive filtering. Searches for LMS, IIR/FIR filtering, and artifact cancellation found no passage in our copy addressing the attributed method. Page numbers were not available. (LLM, conf=0.78)
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References 3 · Cited by 4
- Authors
- Samiei, A., & Hashemi, H.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Samiei, Aria
- Venue
- Electronics Letters
- Published
- 2021-01-20
- Volume
- 57
- Issue
- 4
- Pages
- 173-174
- ISSN
- 0013-5194 (ISSN-L)
- 1350-911X
- OpenAlex
- W3122073097
- Cited by
- 4
- References
- 3
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 1 · 2021: 1
- FWCI
- 0.23
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Electronics Letters (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (1343193)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced DC-DC Converters
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- neural stimulator, switched-capacitor DC-DC converter, series-parallel converter, power efficiency, programmable current source, reconfigurable circuits, biomedical implants
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