A Wireless, Wearable Ultrasound for Assessing Left Ventricular Assist Device Hemodynamics: A Case Series
Bibliographic record
Abstract
Abstract Optimizing left ventricular assist device (LVAD)–patient interaction is important. This is typically accomplished via an outpatient ramp test, monitored by echocardiography and/or invasive measures. We have developed a wireless, wearable Doppler ultrasound that we hypothesized would detect relatively small (i.e., ± 5%) changes in LVAD pump speed (Rpm∆) with the patient in the upright position. From the wearable ultrasound, peak systolic velocity (PSV), end-diastolic velocity (EDV), total velocity time integral (VTI), Doppler pulsatility index, and the internal jugular vein spectrum were synchronously captured. Rpm∆ was best reflected in the EDV and Doppler pulsatility index, whereas the PSV and total VTI showed variable responses. The internal jugular spectrum of one patient was consistent with high central venous pressure throughout the procedure. A wireless, wearable Doppler ultrasound synchronously insonating the common carotid artery and internal jugular vein provides novel and promising insights during LVAD Rpm∆.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".