Paperdoi:10.1002/advs.76775

Soft, Multi-Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification

Venue listed2026Added Oct 11, 2026

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Authors: Wen-Qi Shi, Lanlan Mi, Jia-Rong Chen, Biao Liu, Min Wang, Zisheng Dai, Bin Liu, Ruize Gao, Yun-Feng Lin, Weiwei Guo

Advanced Science (2026-07-27), DOI 10.1002/advs.76775, PMID 42505128

TL;DR

Soft wearable with reflective + transmissive optical paths; NEO-BP prospective dataset of synchronized multi-wavelength PPG and invasive ABP from 42 neonates. Held-out segment test (n=9,378, no SQI exclusion): G+R+IR model MAE 9.67 SBP / 6.17 DBP mmHg; errors rise with lower SQI and motion.

  • Form factor: other

Abstract

Continuous noninvasive blood pressure monitoring is important for neonatal hemodynamic management. However, cuffless photoplethysmography (PPG) is still difficult to use clinically because acquisition‐related errors and their effects on blood pressure estimation are not well understood. Most studies report only overall error, which can hide error patterns under different signal‐quality and motion conditions. Here, we developed a soft multi‐wavelength wearable that combines reflective and transmissive optical paths to record complementary PPG signals. We also built NEO‐BP, a prospective clinical dataset containing synchronized multi‐wavelength PPG and invasive arterial blood pressure waveforms from 42 neonates. In a held‐out segment‐level test set without excluding samples based on signal quality (n = 9378), the green‐red‐infrared (G+R+IR) model achieved mean absolute errors of 9.67 mmHg for systolic blood pressure and 6.17 mmHg for diastolic blood pressure. Using this dataset, we established a retrospective descriptive subgroup error profile by stratifying estimation deviations across measurable acquisition and physiological conditions. Estimation errors increased under lower signal quality and stronger motion. These results identify error‐prone acquisition states, support quality‐aware interpretation of segment‐level cuffless blood pressure estimates, and provide a basis for future models that estimate the error risk of individual readings.

Verbatim from the publisher's DOI record (opens in a new tab) · Publisher licence: http://creativecommons.org/licenses/by/4.0/

Results on ChatPPG leaderboards · 1

All leaderboards
LeaderboardMethodResultRank
neo-bp MAE (mmHg)Cuffless blood pressure estimationSoft, Multi-Wavelength Photoplethysmography Enab9.67MAE (mmHg), lower is better#1 of 1

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Tasks & signals

Signals

Keywords

cuffless-BPmulti-wavelengthneonatalinvasive-ABPerror-stratification

How it works

How Method works: Setup → Method → TargetSetup: Signals (PPG, ABP); Wavelengths (green, red, IR); Form factor (other). Method: Method. Target: Blood pressure.SetupSignals: PPG, ABPSignalsPPG, ABPWavelengths: green, red, IRWavelengthsgreen, red, IRForm factor: otherForm factorotherMethodMethodTargetBlood pressureBlood pressure
Wavelengths
green, red, IR

Cite this paper

APA

Shi, W.-Q., Mi, L., Chen, J.-R., Liu, B., Wang, M., Dai, Z., Liu, B., Gao, R., Lin, Y.-F., Guo, W., et al. (2026). Soft, Multi-Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification. Advanced Science , DOI 10.1002/advs.76775, PMID 42505128. https://doi.org/10.1002/advs.76775

BibTeX

@article{shi2026soft,
  title         = {{Soft, Multi-Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification}},
  author        = {Shi, Wen-Qi and Mi, Lanlan and Chen, Jia-Rong and Liu, Biao and Wang, Min and Dai, Zisheng and Liu, Bin and Gao, Ruize and Lin, Yun-Feng and Guo, Weiwei and others},
  year          = {2026},
  journal       = {Advanced Science , DOI 10.1002/advs.76775, PMID 42505128},
  doi           = {10.1002/advs.76775}
}

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