Sensor Medium Access Control (SMAC)-based epilepsy patients monitoring system
Why this work is in the frame
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Bibliographic record
Abstract
With the increasing number of the epilepsy patients (EPs) and their growing need for continuous monitoring and immediate respond to their seizures, the Epilepsy Patients Monitoring System (EPMS) is proposed to be the fit solution for the healthcare monitoring applications especially for the EPs monitoring application. This paper focuses on the use of Wireless Sensor Networks (WSNs) for the healthcare monitoring applications. The main objective of this system is to decrease the response time for the sudden seizure, protect patients from possible severe consequences and help them become comfortable with the monitoring process. Our EPMS consists of five regular nodes placed at specific sites on the patient's body, as well as a coordinator node and a receiver node. The regular nodes detect seizures and forward the data to the coordinator, which collects the data and transmits it to the receiver. The Sensor Medium Access Control (SMAC) (a new MAC protocol specifically designed for WSNs) protocol has been used to decrease the generated delays and to achieve the highest throughput for the proposed system. We evaluate our proposed system via NS-2 simulations, and based on the numerical results, we show that SMAC-based system gives appropriate response time which achieves the expected objectives.
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it