Evidence map›Paper›PMID 41516684›Full record

ArticleSensors (Basel, Switzerland)2025

Radar Multiple Bin Selection for Breathing and Heart Rate Monitoring in Acute Stroke Patients in a Clinical Setting.

Benedek Szmola, Lars Hornig, Jan Paul Vox, Thomas Liman, Andreas Radeloff, Birger Kollmeier, Karen Insa Wolf, Karsten Witt

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

8 authors.

Benedek SzmolaDepartment of Neurology, School of Medicine and Health Science, Carl von Ossietzky Universität Oldenburg, 26129 Oldenburg, Germany.ORCID 0009-0000-5365-8779
Lars HornigFraunhofer Institute for Digital Media Technology IDMT, Oldenburg Branch for Hearing, Speech and Audio Technology HSA, Marie-Curie-Straße 2, 26129 Oldenburg, Germany.ORCID 0009-0003-2508-9785
Jan Paul VoxFraunhofer Institute for Digital Media Technology IDMT, Oldenburg Branch for Hearing, Speech and Audio Technology HSA, Marie-Curie-Straße 2, 26129 Oldenburg, Germany.ORCID 0000-0003-3699-3414
Thomas LimanDepartment of Neurology, School of Medicine and Health Science, Carl von Ossietzky Universität Oldenburg, 26129 Oldenburg, Germany.ORCID 0000-0002-8471-8049
Andreas RadeloffDivision of Otolaryngology, Head and Neck Surgery, Carl von Ossietzky Universität Oldenburg, 26129 Oldenburg, Germany.ORCID 0000-0003-1881-4179
Birger KollmeierMedizinische Physik, Carl von Ossietzky Universität Oldenburg, 26129 Oldenburg, Germany.ORCID 0000-0001-8584-4779
Karen Insa WolfFraunhofer Institute for Digital Media Technology IDMT, Oldenburg Branch for Hearing, Speech and Audio Technology HSA, Marie-Curie-Straße 2, 26129 Oldenburg, Germany.ORCID 0000-0001-8739-5532
Karsten WittDepartment of Neurology, School of Medicine and Health Science, Carl von Ossietzky Universität Oldenburg, 26129 Oldenburg, Germany.ORCID 0000-0002-9384-3474

Funding

Carl von Ossietzky Universität Oldenburg intramural grant (mHealth)Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) GRK2969 - 512960146
6 · The paper itself

Abstract

Simple to use and accurate monitoring of stroke patients' breathing and heart rate in sleep is needed to lower the risk of secondary strokes and prevent worse functional outcomes due to disturbed sleep. In this study, we computed breathing and heart rates from clinical radar sleep recordings of 49 acute ischemic stroke patients. Parallel polysomnography served as the reference for evaluation. We compared radar rates computed using previously developed multiple and single range bin selection methods. Multiple selection yielded lower mean absolute errors (breathing: 0.39 vs. 0.87 breaths per min; heart rate: 0.84 vs. 3.99 beats per min) and higher correlations with the reference (breathing: 0.95 vs. 0.85; heart rate: 0.96 vs. 0.56). However, single range bin selection produced rates for a larger proportion of recording time (breathing: 93.49% vs. 73.38%; heart rate: 81.85% vs. 19.93%). Our results indicate that multiple range bin selection provides more accurate estimates of breathing and heart rate, but it has lower temporal coverage. Easy to use radar systems could facilitate the clinical adoption of contactless breathing and heart rate monitoring in sleep, improving the care provided to stroke patients.

Indexed as

Heart RateRadarRespirationStrokeAgedFemaleHumansMaleMiddle AgedMonitoring, PhysiologicPolysomnographySleepacute ischemic strokebreathing rateclinical monitoringFMCW radarheart ratemultiple range bin selectionsingle range bin selectionsleep monitoringstroke

Identifiers

PMID41516684
PMCPMC12788250

What Socratic holds

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LicenceCC BY
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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 Socratic graph.