Evidence map›Paper›PMID 30322042›Full record

ArticleSensors (Basel, Switzerland)2018

Scanning Laser Rangefinders for the Unobtrusive Monitoring of Gait Parameters in Unsupervised Settings.

Sebastian Fudickar, Christian Stolle, Nils Volkening, Andreas Hein

Abstract readEvaluation Study
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. 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. Article
  2. Article
  3. Contactless Gait Assessment in Home-like Environments.Sensors (Basel, Switzerland) · 2021
    Article
  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

4 authors.

Sebastian FudickarDepartment of Health Services Research, CvO University Oldenburg, School of Medicine and Health Science, 26111 Oldenburg, Germany. sebastian.fudickar@uol.de.ORCID 0000-0002-3553-5131
Christian StolleDepartment of Health Services Research, CvO University Oldenburg, School of Medicine and Health Science, 26111 Oldenburg, Germany. christian.stolle1@uni-oldenburg.de.
Nils VolkeningOFFIS e.V., 26121 Oldenburg, Germany. nils.volkening@offis.de.
Andreas HeinOFFIS e.V., 26121 Oldenburg, Germany. andreas.hein@offis.de.

Funding

Niedersächsisches Ministerium für Wissenschaft und Kultur CSE IINiedersächsisches Vorab of the Volkswagen Foundation CSE II
6 · The paper itself

Abstract

Since variations in common gait parameters (such as cadence, velocity and stride-length) of elderly people are a reliable indicator of functional and cognitive decline in aging and increased fall risks, such gait parameters have to be monitored continuously to enable preventive interventions as early as possible. With scanning laser rangefinders (SLR) having been shown to be suitable for standardised (frontal) gait assessments, this article introduces an unobtrusive gait monitoring (UGMO) system for lateral gait monitoring in homes for the elderly. The system has been evaluated in comparison to a GAITRite (as reference system) with 86 participants (ranging from 21 to 82 years) passing the 6-min walk test twice. Within the considered 56,351 steps within an overall 7877 walks and approximately 34 km distance travelled, it has been shown that the SLR Hokuyo UST10-LX is more sensitive than the cheaper URG-04LX version in regard to the correct (automatic) detection of lateral steps (98% compared to 77%) and walks (97% compared to 66%). Furthermore, it has been confirmed that the UGMO (with the SLR UST10-LX) can measure gait parameters such as gait velocity and stride length with sufficient sensitivity to determine age- and disease-related functional (and cognitive) decline.

Indexed as

AdultAgedAged, 80 and overEquipment DesignFemaleGaitHumansLasersMaleMiddle AgedMonitoring, AmbulatorySignal Processing, Computer-AssistedSoftwareWalkingcadencegait recognitionscanning laser rangefinders (SLR), GAITRitevelocity and stride-length

Identifiers

PMID30322042
PMCPMC6210551

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.