ArticleIEEE journal of translational engineering in health and medicine2026
Innovative Wearable Platform for Synchronized Biosignals Acquisition: A Proof of Concept in a Cuff-Less Blood Pressure Monitoring Case Study.
Article in IEEE journal of translational engineering in health and medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study evaluates the performance of a fully wireless multi-node wearable platform equipped with a sub-microsecond synchronization engine in a clinically relevant scenario. The prototype system is used in a cuff-less blood pressure monitoring application, based on pulse arrival time derived from synchronized ECG and PPG signals.
methodsThe system integrates a custom 2.4 GHz synchronization protocol and Bluetooth Low Energy for data transmission. Nineteen healthy subjects completed a treadmill protocol designed to induce transient hemodynamic perturbations representative of daily-life physical activities. PAT values extracted from ECG and PPG signals acquired before and after exercise were compared with reference systolic blood pressure (SBP) measurements, intermittently sampled using a validated oscillometric device. The experimental protocol and analysis were designed to reflect realistic home monitoring scenarios, including limited user interaction during measurements.
resultsImmediately after exercise, significant deviations from baseline were observed in computed PAT ([Formula: see text]) and SBP ([Formula: see text]). PAT recovery trend was accurately modeled by a mono-exponential function ([Formula: see text]). Recovery indices derived from PAT and SBP were strongly correlated (Pearson's [Formula: see text], [Formula: see text]) with high concordance ([Formula: see text]), although Bland-Altman analysis revealed subject-specific variability (LoA: -34.36% / 37.53%).
conclusionThe proposed platform enables continuous synchronized multi-signal acquisition for extracting PAT dynamics and tracking blood pressure fluctuations under realistic home-monitoring conditions, with minimal additional user interaction. These results support the operational feasibility of wirelessly synchronized architectures for cardiovascular monitoring in daily-life scenarios, promoting integration into remote health assessment workflows beyond traditional intermittent cuff-based measurements.
Indexed as
Identifiers
What OpenQuestion holds
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.