Design of Piston-Driven Automated Cardiopulmonary Resuscitation Device with Patient Monitoring System
Bibliographic record
Abstract
Cardiopulmonary Resuscitation (CPR) is an emergency medical procedure applied when a patient's heart stops functioning suddenly, mainly due to cardiac arrest, drowning or electric shock. Normally, CPR is applied manually but the process is ineffective to provide adequate chest compressions to cardiac arrest patients. The main objective in this paper is to design a mechanized process of providing CPR and thus replacing the traditional manual CPR technique altogether. We designed an automated CPR device with piston-driven chest compression system and a patient monitoring system. The patient monitoring system consists of a heart rate monitor, body temperature monitor and respiratory rate monitor. The heart rate monitor is integrated with the automated CPR device. This means that when the heart rate monitor detects patient's heart beat then the automated CPR device will not operate but if the heart rate monitor detects no heart beat then the automated CPR device will immediately provide CPR to the patient. The automated CPR along with the patient monitoring system has been tested on a CPR manikin and the results of the performance is well within the accepted CPR guidelines.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".