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Wireless and battery-free technologies for neuroengineering
Open accessAbstract
Tethered and battery-powered devices that interface with neural tissues can restrict natural motions and prevent social interactions in animal models, thereby limiting the utility of these devices in behavioural neuroscience research. In this Review Article, we discuss recent progress in the development of miniaturized and ultralightweight devices as neuroengineering platforms that are wireless, battery-free and fully implantable, with capabilities that match or exceed those of wired or battery-powered alternatives. Such classes of advanced neural interfaces with optical, electrical or fluidic functionality can also combine recording and stimulation modalities for closed-loop applications in basic studies or in the practical treatment of abnormal physiological processes.
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“Recently, there has been a focus on wireless transmission of data and energy for flexible implants, which can reduce messy wires and improve user mobility and social interaction.[325]”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [325]
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“Batteries, for instance, can occupy up to 90% of an implant’s volume and 60% of its weight (Won et al., 2021), with space and thermal output being major constraints (Rapeaux and Constandinou, 2021).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Won et al., 2021
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“For example, RF systems for charging may induce voltages in nearby data circuits, causing data loss or errors, while power harvesting in battery-less systems might disrupt high-frequency data signals (Bazaka and Jacob, 2012; Rahimpour et al., 2021; Won et al., 2021).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Won et al., 2021
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“For example, RF systems for charging may induce voltages in nearby data circuits, causing data loss or errors, while power harvesting in battery-less systems might disrupt high-frequency data signals (Bazaka and Jacob, 2012; Rahimpour et al., 2021; Won et al., 2021).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Won et al., 2021
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Metadata
- Authors
- Won, S. M., Cai, L., Gutruf, P., & Rogers, J. A.
- Affiliations
- Sungkyunkwan University (KR)
- University of Arizona (US)
- Northwestern University (US)
- Corresponding author
- Gutruf, Philipp
- Rogers, John A.
- Venue
- Nature Biomedical Engineering
- Published
- 2021-03-08
- Volume
- 7
- Issue
- 4
- Pages
- 405-423
- ISSN
- 2157-846X (ISSN-L)
- PMC
- PMC8423863
- OpenAlex
- W3134257467
- Cited by
- 360
- References
- 211
- Citations by year
- 2026: 52 · 2025: 85 · 2024: 88 · 2023: 65 · 2022: 53 · 2021: 17
- FWCI
- 8.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- University of Arizona
- National Research Foundation (2020M3H4A1A03084600)
- Ministry of Science, ICT and Future Planning (IITP-2020-001821, 2020-0-01821, 2020M3H4A1A03084600)
- National Research Foundation of Korea (IITP-2020-0-01821, 2020M3H4A1A03084600, 2020R1G1A1101267)
- Ministry of Science and ICT, South Korea (2020-0-01821, IITP-2020-0-01821)
- Institute for Information and Communications Technology Promotion (IITP-2020-0-01821)
- National Institute of Neurological Disorders and Stroke (R01NS112535)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Social Sciences › Education › Undergraduate Neuroscience Education and Research
- Keywords
- wireless neural interface, battery-free devices, biomedical implants, neural engineering, miniaturized devices, psychobiology, animal models, neural recording, neurostimulation
- MeSH terms
- Animals, Neurosciences, Electric Power Supplies, Technology, Prostheses and Implants, Models, Animal
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