AD-HOC CLINICAL MONITORING OF AN LVAD USING WIRELESS BLUETOOTH TECHNOLOGY
Bibliographic record
Abstract
Purpose: A system for wirelessly monitoring LVAD parameters in patients post-implant including after hospital discharge is not currently available. A pilot demonstration was conducted to assess the use of wireless Bluetooth technology for ad-hoc clinical monitoring. Methods: Bluetooth a short-range data radio standard was selected due to low power requirements and other factors including cost, advanced security and operation in the unlicensed Industrial-Scientific band (2.4 Ghz). A demonstration system was developed using off-the-shelf Bluetooth enabled hardware including; 2 Personal Digital Assistants (PDA) devices (Sony Clie TC-50) and a cell phone (Sony Ericsson T681). Custom software modules for the PDA were developed to allow the device to act as either a LVAD simulator or a LVAD Patient Monitor. Results: Utilizing the developed system two scenarios were successfully demonstrated. 1) In Hospital: The PDA running the LVAD monitor program was able to wirelessly locate and connect to the LVAD simulator via Bluetooth, allowing device parameters to be observed in real-time. 2) Out of Hospital: The LVAD simulator was able to generate a clinical alert (including specific device parameters) based on preset ranges (for example low flow), and automatically send this alert via a Bluetooth-enabled cell phone to a hospital based e-mail address. Conclusion: This demonstration project highlights the potential for the use of Bluetooth technology for ad-hoc monitoring of medical devices such as an LVADs. Potential benefits include enhancing patients' peace of mind and the ability to record important clinical events post hospital discharge.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".