Evidence map›Paper›PMID 35161941›Full record

ArticleSensors (Basel, Switzerland)2022

Smart Eyeglasses: A Valid and Reliable Device to Assess Spatiotemporal Parameters during Gait.

Justine Hellec, Frédéric Chorin, Andrea Castagnetti, Olivier Guérin, Serge S Colson

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
5.6field-weighted citation impact, top 4% 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, 13 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

Justine HellecUniversité Côte d'Azur, LAMHESS, EUR HEALTHY, 06205 Nice, France.ORCID 0000-0003-0982-7509
Frédéric ChorinUniversité Côte d'Azur, LAMHESS, EUR HEALTHY, 06205 Nice, France.
Andrea CastagnettiUniversité Côte d'Azur, LEAT UMR 7248, 06410 Biot, France.
Olivier GuérinUniversité Côte d'Azur, IRCAN, 06107 Nice, France.
Serge S ColsonUniversité Côte d'Azur, LAMHESS, EUR HEALTHY, 06205 Nice, France.ORCID 0000-0002-3315-9486
Université Côte d'Azur · FRLaboratoire d'Électronique, Antennes et Télécommunications · FR

Funding

Fondation MAIF 18FON001ERCHXRégion SUD Provence Alpes Côte d'Azur 2018_08943_00Région SUD Provence Alpes Côte d'Azur 2018_08949_00
6 · The paper itself

Abstract

The study aims to determine the validity and reproducibility of step duration and step length parameters measured during walking in healthy participants using an accelerometer embedded in smart eyeglasses. Twenty young volunteers participated in two identical sessions comprising a 30 s gait assessment performed at three different treadmill speeds under two conditions (i.e., with and without a cervical collar). Spatiotemporal parameters (i.e., step duration and step length normalized by the lower limb length) were obtained with both the accelerometer embedded in smart eyeglasses and an optoelectronic system. The relative intra- and inter-session reliability of step duration and step length computed from the vertical acceleration data were excellent for all experimental conditions. An excellent absolute reliability was observed for the eyeglasses for all conditions and concurrent validity between systems was observed. An accelerometer incorporated in smart eyeglasses is accurate to measure step duration and step length during gait.

Indexed as

EyeglassesGaitAccelerationHumansReproducibility of ResultsWalkingaccelerometerreliabilityreproducibilityspatiotemporal parametersvaliditywearable sensor

Identifiers

PMID35161941
PMCPMC8846265
OpenAlexW4210243645

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.