Evidence map›Paper›PMID 42884511›Full record

ArticleSensors (Basel, Switzerland)2026

A Multi-Site Measurement System with Photoplethysmographic and Microwave Sensors for Synchronous and Continuous Cardiovascular Signal Acquisition.

Adrian Nigot, Weronika Giblewska, Tadeusz Sondej, Zenon Szczepaniak

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Adrian NigotFaculty of Electronics, Military University of Technology, 00-908 Warsaw, Poland.ORCID 0000-0002-3393-7719
Weronika GiblewskaMediSensonic SA, 52-234 Wrocław, Poland.
Tadeusz SondejFaculty of Electronics, Military University of Technology, 00-908 Warsaw, Poland.ORCID 0000-0003-4797-7524
Zenon SzczepaniakFaculty of Electronics, Military University of Technology, 00-908 Warsaw, Poland.ORCID 0000-0002-3789-8489

Funding

Military University of Technology in Warsaw UGB 531-000120-W300-22National Centre for Research and Development POIR.01.01.01-00-0800/20
6 · The paper itself

Abstract

The dynamic development of non-invasive medical diagnostics and continuous health monitoring using biomedical signals in recent years has been one of the main research directions in biomedical electronics. This paper presents a developed multimodal, multi-site, and synchronous measurement system designed for continuous cardiovascular signal acquisition. The system integrates reflective and transmissive photoplethysmographic (PPG) sensors and active microwave (MW) sensors operating at a frequency of 4.9 GHz. One of the reflective PPG sensors enables multispectral (MWPPG) recording for six different light wavelengths, ranging from blue (465 nm) to infrared (940 nm). The system was evaluated in a trial involving a group of 32 volunteers. During our research, the PPG sensors were placed on the fingers of the left hand, wrist, and forehead, while the MW sensors were placed on the thumb, wrist, biceps, and chest. In addition, ECG signals and accelerometer signals are recorded synchronously. The averaged pulses of the individual sensors were appointed to compare their shape and quality depending on the technology and location of the measurement. The PPG signals exhibited higher signal quality, with mean SNR values ranging from 8.66 ± 2.17 to 12.61 ± 3.98 dB, compared with 5.91 ± 0.98 to 7.95 ± 1.26 dB for the MW signals. Similarly, the pulse-detection F1-score ranged from 0.34 ± 0.22 to 0.74 ± 0.17 for PPG and from 0.33 ± 0.07 to 0.43 ± 0.15 for MW sensors. Significant differences in the shape of the pulses from the MW sensors were also demonstrated between individual participants. Furthermore, the paper presents examples of recorded signals and discusses the advantages and limitations of various sensor technologies and their locations, while also indicating potential directions for further research.

Indexed as

MicrowavesPhotoplethysmographySignal Processing, Computer-AssistedAdultElectrocardiographyHumansMaleMonitoring, Physiologicbiomedical signalsmultimodal and multi-site measurement systemnon-contact pulse wave measurements

Identifiers

PMID42884511
PMCPMC13667672

What OpenQuestion holds

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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.