Microgel‐Based Devices as Wearable Capacitive Electronic Skins for Monitoring Cardiovascular Risks
Bibliographic record
Abstract
Abstract A strategy is developed for preparing wearable electronic skins (e‐skins) to obtain multiple outputs and realize superhigh sensitivity. In this work, e‐skins are fabricated using colloidal photonic crystals, in which a single layer of microgels is used as a deformation component. The special structure of the e‐skins allows dual outputs of optical and electronic signals in response to pressure changes. The single‐layer structure of the microgel film allows the e‐skin a high‐pressure sensitivity (10.1 kPa−1) and low minimum detection pressure (2 Pa), which enables it to monitor cardiovascular risks in a wearable style. For example, pulse beat spectrum is recorded using the e‐skin, and arterial stiffness index is obtained from the pulse beat spectrum. More importantly, the sensor is used in diagnosing a volunteer with an aneurysm by monitoring his apex beat. The detection results are wirelessly sent to a smartphone by Bluetooth and are displayed through home‐made software. This makes it very convenient to use at home or in the office.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".