Wireless Power Transfer and Adaptive Energy Management in Intracranial BCI Implants

This article explores the critical challenge of powering intracranial brain-computer interface (BCI) implants, emphasizing that while these systems offer superior signal quality, their long-term viability is hindered by the limitations of batteries and the infection risks of wired connections. To address this, the author reviews various wireless power transfer (WPT) technologies, particularly inductive and resonance-based electromagnetic methods, while highlighting the biophysical hurdles such as tissue heating (SAR), signal attenuation by the skull, and the necessity for extreme miniaturization. The paper argues that open-loop systems are insufficient due to unpredictable power fluctuations caused by head movements and anatomical variability; instead, it advocates for closed-loop systems with real-time feedback, power-data co-design strategies like backscatter communication, and scalable architectures for distributed microscale implants to ensure clinical safety and operational stability.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-05
DOI
https://doi.org/10.5281/zenodo.18495649
Primary Topic
Wireless Power Transfer Systems
Type
article
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article

Wireless Power Transfer and Adaptive Energy Management in Intracranial BCI Implants

Nilsu Arasıl
Zenodo (CERN European Organization for Nuclear Research)
Wireless Power Transfer Systems
article

Wireless Power Transfer and Adaptive Energy Management in Intracranial BCI Implants

Nilsu Arasıl
article en

Abstract

This article explores the critical challenge of powering intracranial brain-computer interface (BCI) implants, emphasizing that while these systems offer superior signal quality, their long-term viability is hindered by the limitations of batteries and the infection risks of wired connections. To address this, the author reviews various wireless power transfer (WPT) technologies, particularly inductive and resonance-based electromagnetic methods, while highlighting the biophysical hurdles such as tissue heating (SAR), signal attenuation by the skull, and the necessity for extreme miniaturization. The paper argues that open-loop systems are insufficient due to unpredictable power fluctuations caused by head movements and anatomical variability; instead, it advocates for closed-loop systems with real-time feedback, power-data co-design strategies like backscatter communication, and scalable architectures for distributed microscale implants to ensure clinical safety and operational stability.

Zenodo (CERN European Organization for Nuclear Research)
Gazi Hastanesi (TR)
Affordable and clean energy
Openalex Percentile: Top 66%
Wireless Power Transfer Systems
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Wireless Power Transfer and Adaptive Energy Management in Intracranial BCI Implants — Nilsu Arasıl · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS