Evidence map›Paper›PMID 38676065›Full record

ArticleSensors (Basel, Switzerland)2024

Respiration and Heart Rate Monitoring in Smart Homes: An Angular-Free Approach with an FMCW Radar.

Pouya Mehrjouseresht, Reda El Hail, Peter Karsmakers, Dominique M M-P Schreurs

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Review
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.

Pouya MehrjousereshtWaves: Core Research and Engineering (WaveCoRE), Department of Electrical Engineering (ESAT), KU Leuven, B-3001 Leuven, Belgium.ORCID 0000-0003-4248-1095
Reda El HailDivision of Declarative Languages and Artificial Intelligence (DTAI), Leuven.AI, Department of Computer Science, KU Leuven, B-2440 Geel, Belgium.ORCID 0000-0001-9369-0810
Peter KarsmakersDivision of Declarative Languages and Artificial Intelligence (DTAI), Leuven.AI, Department of Computer Science, KU Leuven, B-2440 Geel, Belgium.ORCID 0000-0001-8119-6823
Dominique M M-P SchreursWaves: Core Research and Engineering (WaveCoRE), Department of Electrical Engineering (ESAT), KU Leuven, B-3001 Leuven, Belgium.ORCID 0000-0002-4018-7936

Funding

European Commission and national funding organizations through ECSEL joint undertaking NEXTPERCEPTIONResearch Foundation - Flanders G0B9821N
6 · The paper itself

Abstract

This paper proposes a new approach for wide angle monitoring of vital signs in smart home applications. The person is tracked using an indoor radar. Upon detecting the person to be static, the radar automatically focuses its beam on that location, and subsequently breathing and heart rates are extracted from the reflected signals using continuous wavelet transform (CWT) analysis. In this way, leveraging the radar's on-chip processor enables real-time monitoring of vital signs across varying angles. In our experiment, we employ a commercial multi-input multi-output (MIMO) millimeter-wave FMCW radar to monitor vital signs within a range of 1.15 to 2.3 m and an angular span of -44.8 to +44.8 deg. In the Bland-Altman plot, the measured results indicate the average difference of -1.5 and 0.06 beats per minute (BPM) relative to the reference for heart rate and breathing rate, respectively.

Indexed as

Heart RateRadarAlgorithmsHumansMonitoring, PhysiologicRespirationRespiratory RateSignal Processing, Computer-AssistedWavelet AnalysisbeamformingFMCW radarsmart homestwo-dimensional localizationvital signswide angular monitoring

Identifiers

PMID38676065
PMCPMC11054141

What OpenQuestion 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 OpenQuestion graph.