Detection and classification methodology for movements in the bed that supports continuous pressure injury risk assessment and repositioning compliance.
Journal
Journal of tissue viability
ISSN: 0965-206X
Titre abrégé: J Tissue Viability
Pays: England
ID NLM: 9306822
Informations de publication
Date de publication:
Feb 2019
Feb 2019
Historique:
received:
23
07
2018
revised:
07
11
2018
accepted:
22
12
2018
pubmed:
2
1
2019
medline:
21
5
2019
entrez:
2
1
2019
Statut:
ppublish
Résumé
Pressure injuries are costly to the healthcare system and mostly preventable, yet incidence rates remain high. Recommendations for improved care and prevention of pressure injuries from the Joint Commission revolve around continuous monitoring of prevention protocols and prompts for the care team. The E-scale is a bed weight monitoring system with load cells placed under the legs of a bed. This study investigated the feasibility of the E-scale system for detecting and classifying movements in bed which are relevant for pressure injury risk assessment using a threshold-based detection algorithm and a K-nearest neighbor classification approach. The E-scale was able to detect and classify four types of movements (rolls, turns in place, extremity movements and assisted turns) with >94% accuracy. This analysis showed that the E-scale could be used to monitor movements in bed, which could be used to prompt the care team when interventions are needed and support research investigating the effectiveness of care plans.
Identifiants
pubmed: 30598376
pii: S0965-206X(18)30106-2
doi: 10.1016/j.jtv.2018.12.001
pmc: PMC6382541
mid: NIHMS1517630
pii:
doi:
Types de publication
Journal Article
Langues
eng
Pagination
7-13Subventions
Organisme : NCATS NIH HHS
ID : UL1 TR001857
Pays : United States
Informations de copyright
Copyright © 2019 Tissue Viability Society. Published by Elsevier Ltd. All rights reserved.
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