Paperdoi:10.1002/advs.76627
A Dual-Modal Wearable PPG Smartwatch with AI-Enhanced Correction for High-Accuracy and Continuous AF Burden Assessment
Advanced Science (2026-07-14); PMCID PMC13367108; NCT06552468
Licence: CC BY 4.0
TL;DR
Watch PPG: reflective, 525 nm green LED, 25.6 Hz, continuous; watch ECG: on-demand lead-I-equivalent at 512 Hz (dry electrodes); reference patch ECG at 250 Hz. Signal-quality CNN on 768-sample PPG windows; hybrid CNN–LSTM rhythm model; intermittent high-fidelity watch-ECG segments act as dynamic anchors / templates to correct long-term PPG classifications. Prospective validation in 1,054 AF patients undergoing catheter ablation (mean age 62.1).
- Form factor: wrist
Abstract
Atrial fibrillation (AF) increases the risk of stroke and heart failure, yet accurate quantification of AF burden in daily life remains difficult. Although smartwatch photoplethysmography (PPG) supports continuous monitoring, complex rhythms and signal noise can impair burden estimation. We developed an AI‐enhanced dual‐modal framework that combines continuous watch‐based PPG (W‐PPG) with intermittent single‐lead watch‐based ECG (W‐ECG). A hybrid convolutional neural network–long short‐term memory model uses high‐fidelity W‐ECG segments as dynamic anchors to correct long‐term W‐PPG classifications. In this prospective validation study, 1,054 patients with AF undergoing catheter ablation (mean age, 62.1 years) were evaluated against patch‐based ECG as the reference standard. After ECG‐based correction, the system achieved 98.60% sensitivity and 99.27% specificity. The mean absolute percentage error of AF burden decreased by 23.4%, from 1.11% to 0.85%, while the Pearson correlation remained 0.9988. This dual‐modal approach offers a scalable and clinically practical solution for long‐term AF monitoring, improving burden estimation beyond PPG‐only devices without requiring continuous multi‐lead ECG. It may support personalized AF management and large‐scale cardiovascular screening in real‐world settings. (NCT06552468)
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
All leaderboardsNo results from this paper on ChatPPG leaderboards yet. Browse the leaderboards.
Tasks & signals
Tasks
Signals
Keywords
How it works
- Wavelengths
- green
Cite this paper
APA
A Dual-Modal Wearable PPG Smartwatch with AI-Enhanced Correction for High-Accuracy and Continuous AF Burden Assessment. (2026). Advanced Science. https://doi.org/10.1002/advs.76627
BibTeX
@article{zuodualmodalppge2026dualmodal,
title = {{A Dual-Modal Wearable PPG Smartwatch with AI-Enhanced Correction for High-Accuracy and Continuous AF Burden Assessment}},
year = {2026},
journal = {Advanced Science},
doi = {10.1002/advs.76627}
}Built from the hub record. Check it against the publisher before submitting.
Added to the ChatPPG research hub
