Evidence map›Paper›PMID 33494509›Full record

ArticleSensors (Basel, Switzerland)2021

Risk of Falling in a Timed Up and Go Test Using an UWB Radar and an Instrumented Insole.

Johannes C Ayena, Lydia Chioukh, Martin J-D Otis, Dominic Deslandes

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
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, 17 citations in OpenAlex.

  1. Article
  2. Overview of Radar-Based Gait Parameter Estimation Techniques for Fall Risk Assessment.IEEE open journal of engineering in medicine and biology · 2024
    Article
  3. Review
  4. Article
  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 at 2 institutions in 1 country.

Johannes C AyenaCommunications and Microelectronic Integration Laboratory (LACIME), Department of Electrical Engineering, École de Technologie Supérieure, 1100 Rue Notre-Dame Ouest, Montréal, QC H3C1K3, Canada.ORCID 0000-0003-4104-8070
Lydia ChioukhCommunications and Microelectronic Integration Laboratory (LACIME), Department of Electrical Engineering, École de Technologie Supérieure, 1100 Rue Notre-Dame Ouest, Montréal, QC H3C1K3, Canada.ORCID 0000-0003-0259-9363
Martin J-D OtisLaboratory of Automation and Robotic interaction (LAR.i), Department of Applied Science, University of Quebec at Chicoutimi, 555 Blvd of University, Chicoutimi, QC G7H2B1, Canada.ORCID 0000-0002-8763-0536
Dominic DeslandesCommunications and Microelectronic Integration Laboratory (LACIME), Department of Electrical Engineering, École de Technologie Supérieure, 1100 Rue Notre-Dame Ouest, Montréal, QC H3C1K3, Canada.
École de Technologie Supérieure · CAUniversité du Québec à Chicoutimi · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previously, studies reported that falls analysis is possible in the elderly, when using wearable sensors. However, these devices cannot be worn daily, as they need to be removed and recharged from time-to-time due to their energy consumption, data transfer, attachment to the body, etc. This study proposes to introduce a radar sensor, an unobtrusive technology, for risk of falling analysis and combine its performance with an instrumented insole. We evaluated our methods on datasets acquired during a Timed Up and Go (TUG) test where a stride length (SL) was computed by the insole using three approaches. Only the SL from the third approach was not statistically significant (

Indexed as

Accidental FallsRadarShoesAgedHumansPostural BalanceTime and Motion StudiesWearable Electronic Devicesbiomedical monitoringfall detectiongait parametersnon-contactTUGUWB radar

Identifiers

PMID33494509
PMCPMC7866057
OpenAlexW3121729622

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.