Evidence map›Paper›PMID 33946528›Full record

ArticleSensors (Basel, Switzerland)2021

People Lifting Patterns-A Reference Dataset for Practitioners.

Konrad Kluwak, Ryszard Klempous, Zenon Chaczko, Jerzy W Rozenblit, Marek Kulbacki

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Konrad KluwakFaculty of Electronics, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland.ORCID 0000-0003-0983-2228
Ryszard KlempousFaculty of Electronics, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland.ORCID 0000-0003-4889-0930
Zenon ChaczkoDIVE IN AI, 53-307 Wroclaw, Poland.ORCID 0000-0002-2816-7510
Jerzy W RozenblitDepartment of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA.ORCID 0000-0002-7348-4128
Marek KulbackiR&D Center, Polish-Japanese Academy of Information Technology, 02-008 Warszawa, Poland.ORCID 0000-0003-4609-106X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many health professionals do not use correct person transfer techniques in their daily practice. This results in damage to the paraspinal musculature over time, resulting in lower back pain and injuries. In this work, we propose an approach for the accurate multimodal measurement of people lifting and related motion patterns for ergonomic education regarding the application of correct patient transfer techniques. Several examples of person lifting were recorded and processed through accurate instrumentation and the well-defined measurements of kinematics, kinetics, surface electromyography of muscles as well as multicamera video. This resulted in a complete measurement protocol and unique reference datasets of correct and incorrect lifting schemes for caregivers and patients. This understanding of multimodal motion patterns provides insights for further independent investigations.

Indexed as

LiftingLow Back PainBiomechanical PhenomenaElectromyographyHumansMotiondata processing tag detectiondecision supportergonomics in people liftinghuman motion datasethuman motion labmotion analysisrecommending systemstag detection

Identifiers

PMID33946528
PMCPMC8124157

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.