Cargando…

Research of System Design and Automatic Detection Method for Excretion Nursing Equipment

(1) Background: The nursing of the elderly has received more and more attention, especially the nursing of urination and defecation for the elderly. (2) Purpose: Design an excretion nursing equipment that can accurately identify and deal with urine and stool. (3) Methods: In this paper, based on the...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Bingshan, Chen, Zhiwei, Chen, Xinyu, Lu, Sheng, Su, Yingbing, Yu, Hongliu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914074/
https://www.ncbi.nlm.nih.gov/pubmed/36766962
http://dx.doi.org/10.3390/healthcare11030388
_version_ 1784885579977064448
author Hu, Bingshan
Chen, Zhiwei
Chen, Xinyu
Lu, Sheng
Su, Yingbing
Yu, Hongliu
author_facet Hu, Bingshan
Chen, Zhiwei
Chen, Xinyu
Lu, Sheng
Su, Yingbing
Yu, Hongliu
author_sort Hu, Bingshan
collection PubMed
description (1) Background: The nursing of the elderly has received more and more attention, especially the nursing of urination and defecation for the elderly. (2) Purpose: Design an excretion nursing equipment that can accurately identify and deal with urine and stool. (3) Methods: In this paper, based on the analysis of the requirements of excretion nursing equipment, a split mechanical design method and a modular control method are used to design the equipment. The Dempster–Shafer (D-S) evidence theory is used in the identification of urine and stool. (4) Results: The excretion nursing equipment designed in this paper works well according to functional test, and the success rate of stool and urine identification method using D-S evidence theory is 20% higher than that of traditional methods, reaching 90%. (5) Conclusions: The urine and stool recognition and detection algorithm based on the D-S evidence theory used in this paper can improve the recognition accuracy of traditional detection methods, and the designed excretion nursing equipment can realize the function of excretion care for patients.
format Online
Article
Text
id pubmed-9914074
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99140742023-02-11 Research of System Design and Automatic Detection Method for Excretion Nursing Equipment Hu, Bingshan Chen, Zhiwei Chen, Xinyu Lu, Sheng Su, Yingbing Yu, Hongliu Healthcare (Basel) Article (1) Background: The nursing of the elderly has received more and more attention, especially the nursing of urination and defecation for the elderly. (2) Purpose: Design an excretion nursing equipment that can accurately identify and deal with urine and stool. (3) Methods: In this paper, based on the analysis of the requirements of excretion nursing equipment, a split mechanical design method and a modular control method are used to design the equipment. The Dempster–Shafer (D-S) evidence theory is used in the identification of urine and stool. (4) Results: The excretion nursing equipment designed in this paper works well according to functional test, and the success rate of stool and urine identification method using D-S evidence theory is 20% higher than that of traditional methods, reaching 90%. (5) Conclusions: The urine and stool recognition and detection algorithm based on the D-S evidence theory used in this paper can improve the recognition accuracy of traditional detection methods, and the designed excretion nursing equipment can realize the function of excretion care for patients. MDPI 2023-01-29 /pmc/articles/PMC9914074/ /pubmed/36766962 http://dx.doi.org/10.3390/healthcare11030388 Text en © 2023 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
Hu, Bingshan
Chen, Zhiwei
Chen, Xinyu
Lu, Sheng
Su, Yingbing
Yu, Hongliu
Research of System Design and Automatic Detection Method for Excretion Nursing Equipment
title Research of System Design and Automatic Detection Method for Excretion Nursing Equipment
title_full Research of System Design and Automatic Detection Method for Excretion Nursing Equipment
title_fullStr Research of System Design and Automatic Detection Method for Excretion Nursing Equipment
title_full_unstemmed Research of System Design and Automatic Detection Method for Excretion Nursing Equipment
title_short Research of System Design and Automatic Detection Method for Excretion Nursing Equipment
title_sort research of system design and automatic detection method for excretion nursing equipment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914074/
https://www.ncbi.nlm.nih.gov/pubmed/36766962
http://dx.doi.org/10.3390/healthcare11030388
work_keys_str_mv AT hubingshan researchofsystemdesignandautomaticdetectionmethodforexcretionnursingequipment
AT chenzhiwei researchofsystemdesignandautomaticdetectionmethodforexcretionnursingequipment
AT chenxinyu researchofsystemdesignandautomaticdetectionmethodforexcretionnursingequipment
AT lusheng researchofsystemdesignandautomaticdetectionmethodforexcretionnursingequipment
AT suyingbing researchofsystemdesignandautomaticdetectionmethodforexcretionnursingequipment
AT yuhongliu researchofsystemdesignandautomaticdetectionmethodforexcretionnursingequipment