People Lifting Patterns-A Reference Dataset for Practitioners

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 a...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 21; no. 9; p. 3142
Main Authors Kluwak, Konrad, Klempous, Ryszard, Chaczko, Zenon, Rozenblit, Jerzy W, Kulbacki, Marek
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 30.04.2021
MDPI
Subjects
Back injuries
Biomechanical Phenomena
Cameras
Caregivers
Communication
Cooperation
Datasets
decision support
Electromyography
ergonomics in people lifting
Hoisting
Human mechanics
human motion dataset
human motion lab
Humans
Kinematics
Kinetics
Legs
Lifting
Low Back Pain
Medical research
Motion
Muscles
Patient handling
Professionals
R&D
recommending systems
Research & development
Software
tag detection
ergonomics in people lifting
data processing tag detection
tag detection
human motion dataset
decision support
recommending systems
motion analysis
human motion lab
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Summary: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.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s21093142