Microgel‐Based Devices as Wearable Capacitive Electronic Skins for Monitoring Cardiovascular Risks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.000 | 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