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Pulse-Based, Multi-Beam Optical Link for Data Telemetry to Implantable Biomedical Microsystems

2022· article· en· W4292071995 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venue2022 20th IEEE Interregional NEWCAS Conference (NEWCAS) · 2022
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsYork University
Fundersnot available
KeywordsTelemetryMicrosystemComputer scienceOptical linkPulse (music)Link (geometry)Data linkBeam (structure)Electronic engineeringElectrical engineeringEngineeringTelecommunicationsPhysicsOpticsMaterials scienceOptical fiberNanotechnologyComputer network

Abstract

fetched live from OpenAlex

This paper reports on a multi-channel, high-rate optical transcutaneous link for data telemetry to implantable microsystems. The proposed optical data telemetry link employs four optical transmitter-receiver pairs operating in parallel at 405, 655, 850, and 940 nm making it able to transmit four independent data streams. A proof-of-concept prototype is developed using a laser diode, three light-emitting diodes and four photodiodes with minimally-overlapping spectral responsivities. The prototype also includes driver circuits for optical transmitters as well as receiver circuits, implemented using off-the-shelf components. According to experimental results with real tissues as the transmission medium, the proposed link allows for achieving data rates up to a total of 130 Mbps with a bit error rate (BER) of better than 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−6</sup> .

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.082
GPT teacher head0.302
Teacher spread0.220 · 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