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Record W2110395799 · doi:10.1109/biocas.2010.5709630

Design of a high-voltage analog front-end circuit for integration with CMUT arrays

2010· article· en· W2110395799 on OpenAlexaff
Parisa Behnamfar, Shahriar Mirabbasi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicUltrasound Imaging and Elastography
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCapacitive micromachined ultrasonic transducersCMOSAmplifierElectrical engineeringCapacitive sensingTransducerOperational amplifierAnalog front-endUltrasonic sensorBandwidth (computing)Electronic engineeringEngineeringMaterials scienceComputer scienceAcousticsPhysicsTelecommunications

Abstract

fetched live from OpenAlex

Capacitive Micro-machined Ultrasound Transducer (CMUT) technology is becoming popular in ultrasound imaging due to its many advantages as compared to its piezoelectric counterpart. These advantages include ease of fabrication and integration with CMOS readout circuitry. This paper presents the design of a high voltage (HV) transmitting driver and a low-power variable-gain receiving amplifier which are intended for integration with CMUT arrays. Also, by Verilog-AMS behavioral modeling of the CMUTs, their loading effect is modeled more realistically. The circuit is designed in a 0.8-μm HV CMOS technology. The transmitter is capable of generating pulses of up to 300 V. The gain of the receiving amplifier varies from 72 dB to 90 dB while its bandwidth ranges from 11 MHz to 9 MHz. The amplifier consumes 3 mW from a 5V supply and has an input resistance of 1KΩ.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.768
Threshold uncertainty score0.285

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 head0.015
GPT teacher head0.236
Teacher spread0.221 · 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.

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

Citations16
Published2010
Admission routes1
Has abstractyes

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