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Improving Fall Detection Devices for Older Adults Using Quality Function Deployment (QFD) Approach
Engineering invention must be in tandem with public demands. Often it is difficult to identify the priorities of consumers where technological advancement is needed. In line with the global challenge of increasing fall prevalence among older adults, providing prevention solutions is the key. This st...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837266/ https://www.ncbi.nlm.nih.gov/pubmed/36644687 http://dx.doi.org/10.1177/23337214221148245 |
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author | Abdul Rahman, Kawthar Ahmad, Siti Anom Che Soh, Azura Ashari, Asmidawati Wada, Chikamune Gopalai, Alpha Agape |
author_facet | Abdul Rahman, Kawthar Ahmad, Siti Anom Che Soh, Azura Ashari, Asmidawati Wada, Chikamune Gopalai, Alpha Agape |
author_sort | Abdul Rahman, Kawthar |
collection | PubMed |
description | Engineering invention must be in tandem with public demands. Often it is difficult to identify the priorities of consumers where technological advancement is needed. In line with the global challenge of increasing fall prevalence among older adults, providing prevention solutions is the key. This study aims at developing an improved fall detection device using an approach called Quality Function Deployment (QFD). The goal is to investigate features to incorporate in existing device from consumer’s perspectives. A three-phases design process is constructed; (1) Questionnaire, (2) Ishikawa Method, and (3) QFD. The proposed method begins with identifying customer needs as the requirement analysis, followed by a method to convert them to design specifications to be added in a fall detection device using QFD tool. As the top feature is monitoring balance, the new improved fall detection devices incorporating balance features will help older adults to monitor their level of risk of falling. |
format | Online Article Text |
id | pubmed-9837266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-98372662023-01-14 Improving Fall Detection Devices for Older Adults Using Quality Function Deployment (QFD) Approach Abdul Rahman, Kawthar Ahmad, Siti Anom Che Soh, Azura Ashari, Asmidawati Wada, Chikamune Gopalai, Alpha Agape Gerontol Geriatr Med Article Engineering invention must be in tandem with public demands. Often it is difficult to identify the priorities of consumers where technological advancement is needed. In line with the global challenge of increasing fall prevalence among older adults, providing prevention solutions is the key. This study aims at developing an improved fall detection device using an approach called Quality Function Deployment (QFD). The goal is to investigate features to incorporate in existing device from consumer’s perspectives. A three-phases design process is constructed; (1) Questionnaire, (2) Ishikawa Method, and (3) QFD. The proposed method begins with identifying customer needs as the requirement analysis, followed by a method to convert them to design specifications to be added in a fall detection device using QFD tool. As the top feature is monitoring balance, the new improved fall detection devices incorporating balance features will help older adults to monitor their level of risk of falling. SAGE Publications 2023-01-10 /pmc/articles/PMC9837266/ /pubmed/36644687 http://dx.doi.org/10.1177/23337214221148245 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Article Abdul Rahman, Kawthar Ahmad, Siti Anom Che Soh, Azura Ashari, Asmidawati Wada, Chikamune Gopalai, Alpha Agape Improving Fall Detection Devices for Older Adults Using Quality Function Deployment (QFD) Approach |
title | Improving Fall Detection Devices for Older Adults Using Quality Function Deployment (QFD) Approach |
title_full | Improving Fall Detection Devices for Older Adults Using Quality Function Deployment (QFD) Approach |
title_fullStr | Improving Fall Detection Devices for Older Adults Using Quality Function Deployment (QFD) Approach |
title_full_unstemmed | Improving Fall Detection Devices for Older Adults Using Quality Function Deployment (QFD) Approach |
title_short | Improving Fall Detection Devices for Older Adults Using Quality Function Deployment (QFD) Approach |
title_sort | improving fall detection devices for older adults using quality function deployment (qfd) approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837266/ https://www.ncbi.nlm.nih.gov/pubmed/36644687 http://dx.doi.org/10.1177/23337214221148245 |
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