A Review of Photoplethysmography-based Physiological Measurement and Estimation, Part 1: Single Input Methods
Bibliographic record
Abstract
Photoplethysmography is a non-invasive and easy to administer optical method used primarily to measure blood oxygen saturation, but also used widely to estimate and measure various other physiological parameters. This paper reviews several physiological parameter estimations that have been done with just this waveform signal, i.e. heart rate, lipid profiling by morphological PPG analysis, blood glucose, ankle brachial pressure, and respiratory rate. Additional physiological estimations which use additional input measurements are reviewed in Part 2 of this paper. The different methods and signal processing techniques based on the principle of operation are discussed in this review. The validity of each of these optical measurement techniques are reviewed where the results were compared with the results obtained using the gold reference standards. Future research considerations for non-invasive wearable devices for physiological parameter measurements are also highlighted in this review which could be helpful for future research.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".