Virtual ultrasonic waveform acquisition and analysis system based on LabVIEW and PCI-12400 A/D card
Bibliographic record
Abstract
A-mode medical ultrasound device is important tool for clinical examinations in many clinical departments, especially ophthalmology. However, many complex or obscure features can not be identified well using these existing instruments, the reason is that ultrasonic echo waveforms from body contain more plentiful information than is utilized in conventional A-model medical ultrasound instrument, so more sophisticated procedures and algorithms may be required to process the acquired waveform. In this study, a flexible PC-based virtual instrument system for acquisition and analysis of ultrasonic echo signal was developed based on LabVIEW graphical programming language (National Instruments, USA) and a high digitization-rate A/D sample card PCI-12400 (CompuScope, Gage, Canada). Ultrasound speed and ultrasound attenuation coefficients were computed in this virtual instrument system. In addition, this system can provide an adaptable tool that may be modified to suit a given application, with scope for future implementation in the field.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".