PaperarXiv:2610.29091
Context-Augmented, Session-Calibrated Blood Pressure Tracking from Photoplethysmography
arXiv 2610.29091v1 (cs.AI), submitted 2026-10-21; repo README describes a Physiological Measurement (PMEA) V38 manuscript
Open codeLicence: arXiv preprint; code repo has no LICENSE file
(opens in a new tab)Adewumi, Farouk Ganiyu et al., "Context-Augmented, Session-Calibrated Blood Pressure Tracking from Photoplethysmography", arXiv:2610.29091, CC BY 4.0
TL;DR
Three repeats of five-fold participant-level CV; calibration-labelled targets are excluded from scoring. Matched factorial analyses remove elapsed-time terms. Follow-ups keep PPG, accelerometer signals and three initial cuff readings; separate studies on pulse-rate fusion (BIDMC) and an intraoperative VitalDB model.
- Form factor: wrist
- Context labels are protocol-provided, not wearable-estimated; not directly comparable to PulseAnchor (calibration count unstated); repo has no licence.
Abstract
Objective.To distinguish the contributions of acquisition context and photoplethysmography (PPG) to session-calibrated blood pressure (BP) tracking.Approach. The original comparison used three repeats of five-fold participant-level cross-validation in 653 AuroraBP participants, excluding calibration-labelled prediction targets. Matched analyses separated context and PPG and removed elapsed-time terms. Later exploratory follow-ups retained PPG, accelerometer signals and three initial cuff readings. Separate studies evaluated pulse-rate fusion and an intraoperative VitalDB model. Main results.The original wearable-state model achieved participant-level mean absolute errors (MAEs) of 7.697/6.139 mmHg for systolic/diastolic BP (SBP/DBP). Added context reduced MAE by 0.436/0.126 mmHg (97.5% intervals 0.305-0.573/0.053-0.200). In the matched factorial without the external PPG prior, PPG improved on calibration, time and protocol-provided posture/activity by 0.214/0.135 mmHg; removing time left the DBP interval including zero. Standard PPG descriptors contributed, but additional nonlinear/attractor benefit was not established. In a separate follow-up series, a sensor-history ensemble achieved 7.299/5.445 mmHg versus its static-rich reference's 7.363/5.470, small gains of 0.064/0.025 mmHg. Larger DBP errors did not improve uniformly. Quality-weighted fusion reduced pulse-rate MAE from 3.985 to 3.690 beats per minute. VitalDB MAEs remained 15.375/8.833 mmHg despite small PPG gains. Significance. The contribution is a calibrated evaluation framework with explicit controls, reproducible feature-cache-to-results analyses and retained negative findings. The sensor-history gain is exploratory after repeated dataset reuse. Independently estimated wearable states, complete raw-signal reproduction of the supplied richer features, external transfer and clinical adequacy remain unestablished.
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Results on ChatPPG leaderboards · 1
All leaderboards| Leaderboard | Method | Result | Rank |
|---|---|---|---|
| aurora-bp MAE (mmHg)Cuffless blood pressure estimation | PC-AVCT wearable-state modelCaveat: Context labels are protocol-provided, not wearable-estimated; not directly comparable to PulseAnchor (calibration count unstated); repo has no licence. | 7.697MAE (mmHg), lower is better | #1 of 2 |
1 row is credited to this paper. Ranks apply within each leaderboard only, as reported by the source.
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APA
Adewumi, F. G., & Oladunni, T. (2026). Context-Augmented, Session-Calibrated Blood Pressure Tracking from Photoplethysmography. arXiv 2610.29091v1 , submitted 2026-10-21. https://arxiv.org/abs/2610.29091
BibTeX
@misc{adewumi2026contextaugmented,
title = {{Context-Augmented, Session-Calibrated Blood Pressure Tracking from Photoplethysmography}},
author = {Adewumi, Farouk Ganiyu and Oladunni, Timothy},
year = {2026},
howpublished = {arXiv 2610.29091v1 , submitted 2026-10-21},
eprint = {2610.29091},
archivePrefix = {arXiv}
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