Modeling of capacitive resonant wireless power and data transfer to deep biomedical implants
Abstract
Neural implantable sensors require a harmless sustainable wireless power transfer technique for their lifetime operation. The capacitive-coupled (CC) power transfer method has proved to induce minimum electromagnetic interference as compared with inductive resonant power transfer. However, the CC method suffers from the limitation of low power transfer efficiency (PTE) and is suitable only for short-distance power transfer applications. In physical health-monitoring practices, the deep implants require high PTE with minimum electromagnetic interference. Similarly, the measured data need to be transmitted to the external world for remote monitoring and analysis. Nevertheless, the size and safety constraints limit the direct interfacing of the data communication module to implants. With this objective, this paper proposes a resonant capacitive-coupling (RCC) approach for wireless power transfer to brain implants. Moreover, to further improve the PTE, the proposed model is investigated with the additional intermediate plate capacitance between the transmitter (Tx) and the receiver (Rx). The analytical and experimental studies are carried out for intracranial pressure sensor (ICP) application and obtain the PTE of 24.2%, 34.14%, and 42.21% for CC, RCC, and RCC with an intermediate plate (RCCI) approaches, respectively. In addition, to eliminate the use of the antenna for data transfer, the same capacitive plates are used and tested with amplitude phase-shift keying (ASK) modulation technique for uplink communication. The proposed system is also integrated with the Internet of Things (IoT) module for the remote monitoring and analyses of patient health.
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The system can be integrated with Internet of Things (IoT) modules for remote health monitoring.
“Furthermore, the system can be integrated with Internet of Things (IoT) modules for remote health monitoring (Narayanamoorthi, 2019).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Narayanamoorthi, 2019
Capacitive plates used for power transfer can also facilitate data transmission, eliminating the need for a separate antenna, using amplitude phase-shift keying (ASK) modulation techniques.
“According to the same study capacitive plates used for power transfer can also facilitate data transmission, eliminating the need for a separate antenna. This is achieved using amplitude phase-shift keying (ASK) modulation techniques.”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Narayanamoorthi, 2019
Resonant Capacitive-Coupling (RCC) methods have achieved power transfer efficiencies of 34.14%, and 42.21% when an additional intermediate plate is used, in applications like intracranial pressure sensors.
“In applications like intracranial pressure sensors, RCC methods have achieved PTEs of 34.14%, and even 42.21% when an additional intermediate plate is used (Narayanamoorthi, 2019).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Narayanamoorthi, 2019
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- Authors
- Narayanamoorthi, R.
- Affiliations
- SRM Institute of Science and Technology (IN)
- Corresponding author
- Narayanamoorthi, R
- ORCID
- Narayanamoorthi, R
- Venue
- IEEE Transactions on Components, Packaging and Manufacturing Technology
- Published
- 2019-07
- Volume
- 9
- Issue
- 7
- Pages
- 1253-1263
- ISSN
- 2156-3950 (ISSN-L)
- 2156-3985
- OpenAlex
- W2950115606
- Cited by
- 62
- References
- 38
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 9 · 2023: 12 · 2022: 8 · 2021: 11 · 2020: 6 · 2019: 1
- FWCI
- 2.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Components Packaging and Manufacturing Technology (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Power Transfer Systems
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- wireless power transfer, neural implants, power transfer efficiency, amplitude phase shift keying, wireless data transmission, Internet of Things, remote patient monitoring, electromagnetic interference
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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