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Preliminary Results of a Low-Power Wireless Telemetry Module For Long-Term µECoG Recordings

2022· article· en· W4292070560 on OpenAlexaff
Louis-Philippe Gauthier, William Lemaire, Keven Gagnon, Charles Quesnel, Jean-Benoit Larouche, Julien Rossignol, Caroline Paulin, Maher Benhouria, Konin Koua, Sébastien Roy, Rejean Fontaine

Bibliographic record

Venue2022 20th IEEE Interregional NEWCAS Conference (NEWCAS) · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsInstitut interdisciplinaire d'innovation technologique
Fundersnot available
KeywordsChipsetTelemetryComputer scienceApplication-specific integrated circuitElectrocorticographyWirelessMegabitData transmissionEmbedded systemPower consumptionComputer hardwareElectrical engineeringPower (physics)Electronic engineeringEngineeringTelecommunicationsChipElectroencephalography

Abstract

fetched live from OpenAlex

This study presents the wireless communication module of an implantable multi-site intracranial recording device composed of four arrays of 49 electrodes. The implant is designed for long-term micro-electrocorticography (µECoG) to enable precise epileptic seizures forecasting. The communication module is based on an off-the-shelf Ultra Wide Band achieves (UWB) chipset that up to 96.47 % data transmission at 60 cm. It transmits 4.25 Mbit/s using 29.60 mW of power, resulting in power consumption of 6.96 nJ/bit. These results justify further research and development into a more integrated solution, such as an Application Specific Integrated Circuit (ASIC).

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.

How this classification was reachedexpand

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.069
GPT teacher head0.299
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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