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Longitudinal In-Bed Pressure Signals Decomposition and Gradients Analysis for Pressure Injury Monitoring

Pressure injury (PI) is a major problem for patients that are bound to a wheelchair or bed, such as seniors or people with spinal cord injuries. This condition can be life threatening in its later stages. It can be very costly to the healthcare system as well. Fortunately with proper monitoring and...

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Autores principales: Hajari, Nasim, Lastre-Dominguez, Carlos, Ho, Chester, Ibarra-Manzano, Oscar, Cheng, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272200/
https://www.ncbi.nlm.nih.gov/pubmed/34202252
http://dx.doi.org/10.3390/s21134356
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author Hajari, Nasim
Lastre-Dominguez, Carlos
Ho, Chester
Ibarra-Manzano, Oscar
Cheng, Irene
author_facet Hajari, Nasim
Lastre-Dominguez, Carlos
Ho, Chester
Ibarra-Manzano, Oscar
Cheng, Irene
author_sort Hajari, Nasim
collection PubMed
description Pressure injury (PI) is a major problem for patients that are bound to a wheelchair or bed, such as seniors or people with spinal cord injuries. This condition can be life threatening in its later stages. It can be very costly to the healthcare system as well. Fortunately with proper monitoring and assessment, PI development can be prevented. The major factor that causes PI is prolonged interface pressure between the body and the support surface. A possible solution to reduce the chance of developing PI is changing the patient’s in-bed pose at appropriate times. Monitoring in-bed pressure can help healthcare providers to locate high-pressure areas, and remove or minimize pressure on those regions. The current clinical method of interface pressure monitoring is limited by periodic snapshot assessments, without longitudinal measurements and analysis. In this paper we propose a pressure signal analysis pipeline to automatically eliminate external artefacts from pressure data, estimate a person’s pose, and locate and track high-risk regions over time so that necessary attention can be provided.
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spelling pubmed-82722002021-07-11 Longitudinal In-Bed Pressure Signals Decomposition and Gradients Analysis for Pressure Injury Monitoring Hajari, Nasim Lastre-Dominguez, Carlos Ho, Chester Ibarra-Manzano, Oscar Cheng, Irene Sensors (Basel) Article Pressure injury (PI) is a major problem for patients that are bound to a wheelchair or bed, such as seniors or people with spinal cord injuries. This condition can be life threatening in its later stages. It can be very costly to the healthcare system as well. Fortunately with proper monitoring and assessment, PI development can be prevented. The major factor that causes PI is prolonged interface pressure between the body and the support surface. A possible solution to reduce the chance of developing PI is changing the patient’s in-bed pose at appropriate times. Monitoring in-bed pressure can help healthcare providers to locate high-pressure areas, and remove or minimize pressure on those regions. The current clinical method of interface pressure monitoring is limited by periodic snapshot assessments, without longitudinal measurements and analysis. In this paper we propose a pressure signal analysis pipeline to automatically eliminate external artefacts from pressure data, estimate a person’s pose, and locate and track high-risk regions over time so that necessary attention can be provided. MDPI 2021-06-25 /pmc/articles/PMC8272200/ /pubmed/34202252 http://dx.doi.org/10.3390/s21134356 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hajari, Nasim
Lastre-Dominguez, Carlos
Ho, Chester
Ibarra-Manzano, Oscar
Cheng, Irene
Longitudinal In-Bed Pressure Signals Decomposition and Gradients Analysis for Pressure Injury Monitoring
title Longitudinal In-Bed Pressure Signals Decomposition and Gradients Analysis for Pressure Injury Monitoring
title_full Longitudinal In-Bed Pressure Signals Decomposition and Gradients Analysis for Pressure Injury Monitoring
title_fullStr Longitudinal In-Bed Pressure Signals Decomposition and Gradients Analysis for Pressure Injury Monitoring
title_full_unstemmed Longitudinal In-Bed Pressure Signals Decomposition and Gradients Analysis for Pressure Injury Monitoring
title_short Longitudinal In-Bed Pressure Signals Decomposition and Gradients Analysis for Pressure Injury Monitoring
title_sort longitudinal in-bed pressure signals decomposition and gradients analysis for pressure injury monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272200/
https://www.ncbi.nlm.nih.gov/pubmed/34202252
http://dx.doi.org/10.3390/s21134356
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