Low-Power Organic LED Fabricated by a Novel Solution-Based Process for Photoplethysmography Sensing
Why this work is in the frame
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Bibliographic record
Abstract
Power consumption level of electronic devices has been always considered as an important factor for a wide range of applications. In this study, a novel fabrication step, namely pre-drying, applicable to solution-based fabrication processes is proposed to minimize the overall power consumption of organic light-emitting diodes (OLEDs). The pre-dry step allows the solution to dwell on the substrate for a certain short time before the spin coater is turned on. It is experimentally shown that the pre-drying step for OLEDs with the hole transfer layer (HTL) of Poly (3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) can reduce the ohmic-loss by a factor of 2.41, in addition to reducing the turn-on voltage by 0.9 V and increasing the luminance 1.3 times at 15 V in comparison to the fabricated OLED without pre-drying step. To further minimize the power consumption of OLEDs, it is proposed to replace PEDOT:PSS with copper(I) thiocyanate (CuSCN) as HTL, which can be deposited by a solution fabrication process including the pre-drying step. A comparison among the fabricated OLEDs with the pre-dried HTLs made of CuSCN and PEDOT:PSS indicates that the generated luminance increases by a factor of 4.28 from 2.8 to 12 kcd/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for an identical voltage of 11 V. Due to the superior performance of the proposed OLED based on the pre-dried HTL of CuSCN, its behavior as a light source for photoplethysmography (PPG) sensing systems is surveyed. In this context, the PPG sensor is implemented in the form of a flexible-hybrid sensor system in which the fabricated OLED and a commercial photodiode are housed on a flexible substrate. Results confirm that the implemented flexible-hybrid PPG sensor operating in reflectance mode can acquire high quality PPG signals with relatively low power consumption and accurately estimate heart rate. The competency of the proposed OLED as a low-power solution for PPG sensor technology is highlighted by comparing its performance with the state of the art.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it