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Record W2041857249 · doi:10.1121/1.4800643

A modulator and driver for a high-efficiency ultrasonic link providing power and signal to an implanted hearing aid

2013· article· en· W2041857249 on OpenAlexaff
Hugo Vihvelin, Jeff Leadbetter, Jeremy A. Brown, Rob Adamson

Bibliographic record

VenueProceedings of meetings on acoustics · 2013
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDemodulationUltrasonic sensorTransmitterBandwidth (computing)Pulse-width modulationElectronic engineeringTransducerFrequency modulationModulation (music)Electrical efficiencySIGNAL (programming language)Pulse-density modulationPulse-amplitude modulationAmplitude modulationComputer scienceElectrical engineeringMaterials sciencePower (physics)AcousticsEngineeringPulse (music)TelecommunicationsPhysicsVoltage

Abstract

fetched live from OpenAlex

We present results from the design and testing of a high-efficiency amplitude modulation and demodulation circuit for use in an ultrasonic power link for implanted hearing aids. The modulator provides an 8 KHz modulation bandwidth around a carrier frequency of 1.024 MHz and achieves high efficiency from a switched driver design employing a 50 KHz ramp-compare pulse-width modulation scheme. It can deliver 27.2mW to an ultrasonic link with 76% efficiency. The design of an implanted demodulator circuit is also discussed. When coupled to a set of matched high-efficiency ultrasound transmitter/receiver transducers achieving a 45% transmission efficiency, this system holds promise as a compact, lightweight, highly directional means of providing power and signal to implanted devices.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.007
GPT teacher head0.203
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2013
Admission routes1
Has abstractyes

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