Evidence map›Paper›PMID 41946749›Full record

ArticleScientific data2026

Extensive Age-Balanced and Subject-Varied mmWave Radar Dataset of Referenced Records for Vital Signs.

Felipe Parralejo, José A Paredes, Fernando J Álvarez, África Vicario

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Felipe ParralejoSensory Systems Research Group (GISS), Department of Electrical Engineering, Electronics and Automation, Universidad de Extremadura, Badajoz, 06006, Spain. felipe@unex.es.ORCID http://orcid.org/0000-0003-1739-829X
José A ParedesSchool of Computing, Engineering, and the Built Environment, University of Roehampton, Roehampton Lane, London, SW15 5PU, United Kingdom.
Fernando J ÁlvarezSensory Systems Research Group (GISS), Department of Electrical Engineering, Electronics and Automation, Universidad de Extremadura, Badajoz, 06006, Spain.
África VicarioSensory Systems Research Group (GISS), Department of Electrical Engineering, Electronics and Automation, Universidad de Extremadura, Badajoz, 06006, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contactless measurements of vital signs can provide new ways of monitoring assisted living residents or unreachable patients. Millimetre-wave (mmWave) radars allow for such monitoring and are a privacy free solution that has proven to be effective in the last years. The dataset presented in this paper consists of mmWave radar records of 110 participants collected using two commercial 60 GHz Frequency Modulated Continuous Wave radars for vital signs applications. All measurements are referenced against a class IIa medical device which provides ECG and accelerometer data. This dataset includes subjects of different ages, and with varied health status - 15 individuals present heart-related issues. For each participant tests were carried out in different postures, with post-exercise and holding breath experiments. Extensive demographic information about the participants is included so that researchers can study the influence of these on their vital signs estimations. This dataset can be useful for the community to test algorithms to extract heart rate, improve state-of-the-art processing methods and perform statistical studies with a large age-balanced and subject-varied population.

Indexed as

RadarVital SignsAdultElectrocardiographyFemaleHeart RateHumansMaleMonitoring, Physiologic

Identifiers

PMID41946749
PMCPMC13273162

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.