People Lifting Patterns—A Reference Dataset for Practitioners
- Publisher:
- MDPI
- Publication Type:
- Journal Article
- Citation:
- Sensors, 2021, 21, (9)
- Issue Date:
- 2021-04-30
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Kluwak, K | |
dc.contributor.author | Klempous, R | |
dc.contributor.author |
Chaczko, Z https://orcid.org/0000-0002-2816-7510 |
|
dc.contributor.author | Rozenblit, JW | |
dc.contributor.author | Kulbacki, M | |
dc.date.accessioned | 2021-11-15T02:20:31Z | |
dc.date.available | 2021-04-28 | |
dc.date.available | 2021-11-15T02:20:31Z | |
dc.date.issued | 2021-04-30 | |
dc.identifier.citation | Sensors, 2021, 21, (9) | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | http://hdl.handle.net/10453/151579 | |
dc.description.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. | |
dc.format | Electronic | |
dc.language | eng | |
dc.publisher | MDPI | |
dc.relation.ispartof | Sensors | |
dc.relation.isbasedon | 10.3390/s21093142 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 0301 Analytical Chemistry, 0502 Environmental Science and Management, 0602 Ecology, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering | |
dc.subject.classification | Analytical Chemistry | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Low Back Pain | |
dc.subject.mesh | Electromyography | |
dc.subject.mesh | Lifting | |
dc.subject.mesh | Motion | |
dc.subject.mesh | Biomechanical Phenomena | |
dc.subject.mesh | Biomechanical Phenomena | |
dc.subject.mesh | Electromyography | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Lifting | |
dc.subject.mesh | Low Back Pain | |
dc.subject.mesh | Motion | |
dc.title | People Lifting Patterns—A Reference Dataset for Practitioners | |
dc.type | Journal Article | |
utslib.citation.volume | 21 | |
utslib.location.activity | Switzerland | |
utslib.for | 0301 Analytical Chemistry | |
utslib.for | 0502 Environmental Science and Management | |
utslib.for | 0602 Ecology | |
utslib.for | 0805 Distributed Computing | |
utslib.for | 0906 Electrical and Electronic Engineering | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | /University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications | |
pubs.organisational-group | /University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering | |
utslib.copyright.status | open_access | * |
dc.date.updated | 2021-11-15T02:20:28Z | |
pubs.issue | 9 | |
pubs.publication-status | Published | |
pubs.volume | 21 | |
utslib.citation.issue | 9 |
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.
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