Digital heart rate measurement based on Atmega16L
Bibliographic record
Abstract
The photoelectric heart rate meter reported in this paper picks up heart rate signals with a photoelectric cell, converts them into standard TTL pulse signal, and sends them into the input capture interface of a single-chip computer Atmega16L. Its input capture register can capture the Timer/Counter value at a given external (edge triggered) event on the input capture pin (ICP1) of T/C1. The counter number is sent into T/C1's input capture register ICR1 after the voltage of the input capture pin ICP1 jumped according to the program setting. The single-chip computer catches the input pulse signal as some numerical values of Timer/Counter (T/C1) and works out a single heart rate cycle and displays by three seven segment tubes, which are the peripheral equipments of the single-chip computer. ICCAVR integrated compiler is applied to assemble and compile the software programs of the heart rate meter. After the programs compiled successfully, a HEX file is produced and downloaded into the single chip computer by software SLISP. This photoelectric heart rate meter can measure the people heart rate efficiently with measurement range of 10-200 times per minute, precision of ± 1%, low cost and reliable performance.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.006 |
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".