ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Intrinsic PPG-ECG Coupling for Accurate and Low-Power Blood Pressure Monitoring.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Artificial Intelligence Enabled Diagnostics Using Photoplethysmography (PPG): Beyond SpOLife (Basel, Switzerland) · 2026Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Long-term, continuous blood pressure (BP) monitoring is of great clinical importance for the early diagnosis and dynamic assessment of cardiovascular diseases. Conventional BP monitoring methods based on pulse transit time (PTT) typically rely on at least two independent signal channels. However, multi-signal processing introduces synchronization errors and inaccuracies in fiducial point detection, thereby limiting the accuracy and efficiency of BP estimation. In addition, recording and processing multiple signals increases circuit complexity and elevates system power consumption. To overcome these limitations, we propose an intrinsic signal synchronization strategy based on photoplethysmography-electrocardiogram (PPG-ECG) signal coupling. By fusing PPG and ECG signals into a unified waveform that preserves the essential features of both, intrinsic synchronization is inherently achieved. Compared with conventional independent signal processing, this approach reduces PTT error to less than 15 ms and achieves a PTT detection rate exceeding 98%. Furthermore, the data load is significantly reduced, resulting in a 43.75% decrease in system power consumption. Based on this principle, we developed a compact, lightweight, chest wearable sensor patch. The device demonstrates high BP measurement accuracy (ME ≤ 5 mmHg, STD ≤ 8 mmHg) across diverse scenarios, including both static and dynamic BP conditions. This strategy not only simplifies the design and manufacturing of BP monitoring devices but also enhances their performance in terms of accuracy, energy efficiency, and operational lifetime.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.