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arxiv: 2607.02036 · v1 · pith:6PZYWZE4new · submitted 2026-07-02 · 📡 eess.SP

Antenna System for Simultaneous Wireless Power and Information Transfer to Brain Implants

Ali Khaleghi , Aminolah Hassanvand , Ilangko Balasingham This is my paper

Pith reviewed 2026-07-03 07:58 UTC · model grok-4.3

classification 📡 eess.SP
keywords wireless power transferbackscatter communicationbrain computer interfaceimplantable antennabattery free implantinductive coupling
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The pith

A dual-function antenna delivers wireless power to brain implants while supporting 32 Mbps data rates without batteries.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper introduces a battery-free wireless BCI that uses one antenna system for both power and data. Inductive coupling transfers enough energy to run the implant ASIC for stimulation and readout. A backscatter link then carries high-rate data back to an external unit. Removing wires and batteries reduces implantation risks and supports applications such as robotic arm control while keeping data fidelity intact.

Core claim

The central claim is that a single dual-function antenna system, combining inductive coupling for wireless power transfer and a backscatter antenna for uplink, can power an implant ASIC sufficiently for continuous operation and simultaneously achieve battery-free wireless connectivity at rates up to 32 Mbps.

What carries the argument

Dual-function antenna system: inductive coupling for power delivery and backscatter modulation for data return.

If this is right

  • Continuous, battery-free BCI operation becomes feasible for extended sessions.
  • Wired connections and repeated surgical battery changes are eliminated.
  • High-rate neural data can be streamed in real time for closed-loop control tasks.
  • Energy efficiency is preserved because the same antenna structure serves both functions.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same antenna architecture could be adapted for other low-power implants such as cochlear devices or peripheral nerve stimulators.
  • Integration with existing external BCI hardware would require only antenna redesign rather than full system overhaul.
  • In-vivo tests in animal models would directly test whether tissue absorption limits the claimed power margin.

Load-bearing premise

The inductive link can supply adequate power through tissue while the backscatter link maintains its data rate and accuracy without mutual interference or extra power draw.

What would settle it

Direct measurement inside tissue showing received power at the ASIC below the level required for stimulation and readout, or measured uplink throughput falling short of 32 Mbps under realistic conditions.

Figures

Figures reproduced from arXiv: 2607.02036 by Ali Khaleghi, Aminolah Hassanvand, Ilangko Balasingham.

Figure 1
Figure 1. Figure 1: a) Brain Machine Interface (BMI) with a wearable wireless power and wireless backscatter units b) Simulation model of the implant and external units in a layered tissue motor information in the external reader. By utilizing this approach, the implant's power consumption for data transmission is reduced to the energy required by the RF switch, which consumes only 165 nW. The main power consumption within th… view at source ↗
Figure 2
Figure 2. Figure 2: a) Positioning of the external antenna and implant coil c) Simulation model using a realistic human representation. At 13.56 MHz, the impedance measurements are as follows: the implant impedance 0.77+j48, and the external unit impedance is 1.47+j100. With an inter-coil distance of 14 mm, the ideal power coupling is obtained to be -7 dB with a matching Q-factor of 14. To counteract the effects of frequency … view at source ↗
Figure 3
Figure 3. Figure 3: a) Implant antenna model b) antenna impedance after matching and the coupling to the external reader system antennas c) dual port reader antenna for backscatter d) the reader antenna mutual coupling and the impedance matching with addition of matching unit. III. SYSTEM DEMONESTRATION The implant unit uses NXP NTAG 5 as the NFC two-way communication and also for WPT to support the implant 30 mW power and pr… view at source ↗
Figure 4
Figure 4. Figure 4: Computed SAR at 434 MHz using heterogenous human head model, accepted power level 20 mw. (a) (b) (c) [PITH_FULL_IMAGE:figures/full_fig_p004_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: a) Received backscattered data for 3 cm separation between implant and external integrated antenna. Each video frame includes 10 period of each channel waveform that any period includs 30 sample of 16 bit, represented as a row in image (32×300×16 bit=153600 bit). In this frame BER=3.2×10-3 . b) 2-D plot of received data, each horizontal graph show related channel data. c) calculated BER of each received fr… view at source ↗
read the original abstract

Brain-Computer Interfaces (BCIs) have revolutionized neuroscience applications, from motor rehabilitation to neuroergonomics. Traditional implantable BCIs with invasive microelectrode arrays pose challenges, notably the need for wired connections and inherent implantation risks. This paper introduces a battery-free wireless BCI system, consolidating an implant and its external supporting system. Our design centers on a dual-function antenna system: firstly, an inductive coupling mechanism enables wireless power transfer, sufficiently powering the implant's Application-Specific Integrated Circuit (ASIC) for stimulation and readout without an implant battery. Secondly, a backscatter antenna in the implant facilitates battery-free, high-data-rate wireless connectivity (up to 32 Mbps). This system not only enhances the BCI experience by eliminating wires but also retains data fidelity and energy efficiency, promising a safer, more efficient interface for tasks like robotic arm control.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 0 minor

Summary. The manuscript proposes a battery-free wireless brain-computer interface (BCI) system that uses a dual-function antenna: inductive coupling for wireless power transfer to sufficiently power an implant ASIC for stimulation and readout, and a backscatter antenna for battery-free high-data-rate connectivity up to 32 Mbps, eliminating wires and batteries while maintaining data fidelity.

Significance. If the power delivery and data-rate claims were demonstrated with quantitative link budgets, efficiency calculations, and measurements in tissue or phantoms compared against ASIC consumption, the work could advance safe, wireless BCIs for applications like robotic control. The manuscript provides no such supporting analysis, simulations, or data, so significance cannot be assessed.

major comments (1)
  1. [Abstract] Abstract: The central claims that inductive coupling 'sufficiently' powers the ASIC without a battery and that backscatter enables 'up to 32 Mbps' are stated without any link budget, received-power calculation, efficiency estimate, comparison to ASIC consumption, or error analysis in a biological environment; this renders the performance assertions unevaluable.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the detailed review and constructive feedback. We agree that the performance claims require quantitative support to be properly evaluable and will revise the manuscript to incorporate the requested analyses.

read point-by-point responses

  1. Referee: [Abstract] Abstract: The central claims that inductive coupling 'sufficiently' powers the ASIC without a battery and that backscatter enables 'up to 32 Mbps' are stated without any link budget, received-power calculation, efficiency estimate, comparison to ASIC consumption, or error analysis in a biological environment; this renders the performance assertions unevaluable.

    Authors: We agree with the referee that the abstract states the claims without supporting quantitative details. In the revised manuscript we will expand the abstract to reference key results (e.g., estimated received power, link efficiency, and data-rate validation) and will add a new subsection in the main text that presents the inductive link budget, received-power calculations, efficiency estimates, direct comparison against measured ASIC consumption, and error analysis based on tissue-phantom measurements. These additions will make the assertions evaluable while preserving the original design narrative. revision: yes

Circularity Check

0 steps flagged

No significant circularity; design description lacks load-bearing derivations or self-referential predictions

full rationale

The manuscript presents an antenna system design for simultaneous WPT and backscatter data transfer. No equations, fitted parameters, or derivation chains appear in the abstract or described full text. Claims rest on engineering description and (presumably) simulation/measurement results rather than any prediction that reduces by construction to its own inputs or to a self-citation chain. Self-citations, if present, are not load-bearing for any uniqueness theorem or ansatz. This is the normal non-finding for a hardware-design paper without closed-form predictive modeling.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract provides no information on free parameters, axioms, or invented entities; assessment limited to surface claims.

pith-pipeline@v0.9.1-grok · 5675 in / 992 out tokens · 32415 ms · 2026-07-03T07:58:28.930512+00:00 · methodology

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Reference graph

Works this paper leans on

6 extracted references · 1 canonical work pages

  1. [1]

    https://blackrockneurotech.com/products/utah-array/ (accessed

    Blackrock. https://blackrockneurotech.com/products/utah-array/ (accessed

  2. [2]

    https://www.neuronexus.com/products/electrode-arrays/ (accessed

    Neuronexus. https://www.neuronexus.com/products/electrode-arrays/ (accessed

  3. [3]

    A Power -Efficient Brain -Machine Interface System With a Sub-mw Feature Extraction and Decoding ASIC Demonstrated in Nonhuman Primates,

    H. An et al. , "A Power -Efficient Brain -Machine Interface System With a Sub-mw Feature Extraction and Decoding ASIC Demonstrated in Nonhuman Primates," IEEE Transactions on Biomedical Circuits and Systems, vol. 16, no. 3, pp. 395-408, 2022

    2022

  4. [4]

    The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz,

    S. Gabriel, R. Lau, and C. Gabriel, "The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz," Physics in medicine & biology, vol. 41, no. 11, p. 2251, 1996

    1996

  5. [5]

    IEEE Standard for Safety Levels with Respect to Human Exposure to Radio Frequen cy Electromagnetic Fields, 3 kHz to 300 GHz,

    "IEEE Standard for Safety Levels with Respect to Human Exposure to Radio Frequen cy Electromagnetic Fields, 3 kHz to 300 GHz," IEEE Std C95.1-2005 (Revision of IEEE Std C95.1 -1991), pp. 1-238, doi: 10.1109/IEEESTD.2006.99501

    work page doi:10.1109/ieeestd.2006.99501 2005

  6. [6]

    Advancing Brain-Machine Interfaces: High Data Rate Battery-Free Implants,

    A. Hasanvand, A. Khaleghi, C. Beguet, P. Wanda, and I. Balasingham, "Advancing Brain-Machine Interfaces: High Data Rate Battery-Free Implants," presented at the IMBioC 2023 KU Leuven, Belgium, 2023

    2023