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A Mems-Based Miniaturized Wireless Fully-Implantable Brain-Computer Interface System

2025· article· en· W4408655541 on OpenAlex
Zexi Su, Jiaqi Yang, Xiaoling Wei, Liuyang Sun, Tiger H. Tao, Zhitao Zhou

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsnot available
FundersNational Science and Technology Major ProjectYouth Innovation Promotion AssociationShanghai Rising-Star Program
KeywordsMicroelectromechanical systemsWirelessBrain–computer interfaceComputer scienceInterface (matter)Embedded systemTelecommunicationsMaterials scienceOptoelectronicsElectroencephalographyMedicineOperating system

Abstract

fetched live from OpenAlex

This paper reports a miniaturized, hermetically-sealed and fully-implantable brain-computer interface (BCI) system for wireless neural recording. It is designed to capture electrocorticographic (ECoG) signals with a MEMS-based 64-channel flexible electrode array. Integrated a 200 mAh Li-ion battery charged via an inductive link operating at 13.56 MHz, the active implant is densely packaged within a 22 × 22 mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> titanium enclosure. Bench-top measurements and in vivo ECoG signals acquired in a Labrador dog show that the system functions well in capturing and wirelessly delivering neural activity, promising a great potential for motor or speech rehabilitation in patients with tetraplegia or aphasia.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.722
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.205
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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