Evidence map›Paper›PMID 41826358›Full record

ArticleScientific data2026

A dataset of 120 GHz millimeter-wave radar vital signals with synchronized reference recordings.

Ruochen Wu, Laura Miro, Albert Aguasca, Antoni Broquetas, Cosme Garcia, Montse Najar

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ruochen Wu *CommSensLab-UPC, recognized as a consolidated research group by the Generalitat de Catalunya GRC-01415, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034, Barcelona, Spain. ruochen.wu@upc.edu.
Laura Miro *Signal Processing and Communications Group, recognized as a consolidated research group by the Generalitat de Catalunya 2021 SGR 01033, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034, Barcelona, Spain.
Albert AguascaCommSensLab-UPC, recognized as a consolidated research group by the Generalitat de Catalunya GRC-01415, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034, Barcelona, Spain.
Antoni BroquetasCommSensLab-UPC, recognized as a consolidated research group by the Generalitat de Catalunya GRC-01415, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034, Barcelona, Spain.
Cosme GarciaCardiology Department, Hospital Universitari Germans Trias i Pujol, 08916, Badalona, Spain.
Montse NajarSignal Processing and Communications Group, recognized as a consolidated research group by the Generalitat de Catalunya 2021 SGR 01033, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034, Barcelona, Spain.

Funding

China Scholarship Council 202208390068European Regional Development Fund PID2020-117303GB-C21, PID2024-161188OB-C21European Regional Development Fund PID2022-138648OB-I00Spanish Ministry of Science, Innovation and Universities MICIU/AEI/10.13039/501100011033
6 · The paper itself

Abstract

Millimeter-wave (mmWave) radar is widely recognized as a critical tool for contactless, continuous human sensing across multiple scenarios. Yet, there is a lack of high-quality datasets with synchronized reference measurements, especially at higher frequencies, which are essential for advancing signal processing methods and improving the retrieval of vital parameters. To address this gap, we introduce a mmWave radar vital signal dataset collected with synchronized reference recordings. The dataset is derived from measurements acquired using a custom-built, noncommercial radar system developed by CommSensLab-UPC specifically for biomedical applications. The implemented Frequency-Modulated Continuous Wave (FMCW) radar system operates at 120 GHz within the industrial, scientific, and medical (ISM) band. In parallel, a monitoring system records reference physiological signals, including electrocardiograms, respiratory traces, pulse waveforms, and blood pressure values. Under a predefined protocol, a professional clinician collected data from 24 healthy subjects under two scenarios. The release of this dataset aims to facilitate the development and validation of advanced radar signal processing algorithms, thereby enhancing the contribution of radar technologies to hemodynamic monitoring and autonomic nervous system assessment.

Indexed as

RadarAlgorithmsElectrocardiographyHumansMonitoring, PhysiologicSignal Processing, Computer-Assisted

Identifiers

PMID41826358
PMCPMC13184033

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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.