Study of the Brain Tissue Ohmic Losses and Specific Absorption Rate in an Inductive Wireless Power Transfer System
Bibliographic record
Abstract
Wireless power transfer (WPT) is increasingly used to energize implanted biomedical devices and sensors, offering a convenient alternative to traditional battery-powered systems. By eliminating the need for frequent surgical procedures to replace batteries, WPT significantly enhances patient safety and comfort. Inductive coupling is a widely adopted method for short-range power transfer due to its simplicity and effectiveness in medical implant applications. However, safety concerns must be addressed, particularly regarding the specific absorption rate (SAR), which measures the electromagnetic energy absorbed by human tissue. Regulatory compliance with SAR limits is critical to avoid potential tissue heating or adverse biological effects. Another cause of temperature rise in the tissue could be the ohmic losses due to the Eddy current. This paper investigates the influence of coil misalignment on SAR and ohmic loss levels using ANSYS simulation software. Simulations are conducted using a realistic anatomical head model to evaluate how deviations in coil positioning impact SAR and ohmic losses. Results indicate that SAR and ohmic losses are not directly correlated.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".