Evidence map›Paper›PMID 34063222›Full record

ArticleSensors (Basel, Switzerland)2021

Ultra-Wideband Radar-Based Indoor Activity Monitoring for Elderly Care.

Matti Hämäläinen, Lorenzo Mucchi, Stefano Caputo, Lorenzo Biotti, Lorenzo Ciani, Dania Marabissi, Gabriele Patrizi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. A Review on Radar-Based Human Detection Techniques.Sensors (Basel, Switzerland) · 2024
    Review
  6. Article
  7. Article
  8. Ultra-Wideband (UWB) Systems in Biomedical Sensing.Sensors (Basel, Switzerland) · 2022
    Article
  9. Sinuous Antenna for UWB Radar Applications.Sensors (Basel, Switzerland) · 2021
    Article
  10. 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

7 authors.

Matti HämäläinenCentre for Wireless Communications, University of Oulu, 90570 Oulu, Finland.ORCID 0000-0002-6115-5255
Lorenzo MucchiDepartment of Information Engineering, University of Florence, I-50139 Firenze, Italy.ORCID 0000-0001-6389-0221
Stefano CaputoDepartment of Information Engineering, University of Florence, I-50139 Firenze, Italy.ORCID 0000-0002-4516-8910
Lorenzo BiottiDepartment of Information Engineering, University of Florence, I-50139 Firenze, Italy.ORCID 0000-0003-0628-5257
Lorenzo CianiDepartment of Information Engineering, University of Florence, I-50139 Firenze, Italy.ORCID 0000-0001-7820-6656
Dania MarabissiDepartment of Information Engineering, University of Florence, I-50139 Firenze, Italy.ORCID 0000-0002-7075-3556
Gabriele PatriziDepartment of Information Engineering, University of Florence, I-50139 Firenze, Italy.ORCID 0000-0001-6661-6754

Funding

Academy of Finland 318927H2020 European Research Council 872752Horizon 2020 Framework Programme 101017331
6 · The paper itself

Abstract

In this paper, we propose an unobtrusive method and architecture for monitoring a person's presence and collecting his/her health-related parameters simultaneously in a home environment. The system is based on using a single ultra-wideband (UWB) impulse-radar as a sensing device. Using UWB radars, we aim to recognize a person and some preselected movements without camera-type monitoring. Via the experimental work, we have also demonstrated that, by using a UWB signal, it is possible to detect small chest movements remotely to recognize coughing, for example. In addition, based on statistical data analysis, a person's posture in a room can be recognized in a steady situation. In addition, we implemented a machine learning technique (

Indexed as

RadarSignal Processing, Computer-AssistedAgedFemaleHumansMaleMonitoring, PhysiologicPostureReproducibility of ResultsRespirationhomek-nearest neighbourlivingmovement identificationremote monitoringsignal classification

Identifiers

PMID34063222
PMCPMC8125009

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.