Cargando…
Pathway of Trends and Technologies in Fall Detection: A Systematic Review
Falling is one of the most serious health risk problems throughout the world for elderly people. Considerable expenses are allocated for the treatment of after-fall injuries and emergency services after a fall. Fall risks and their effects would be substantially reduced if a fall is predicted or det...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776012/ https://www.ncbi.nlm.nih.gov/pubmed/35052335 http://dx.doi.org/10.3390/healthcare10010172 |
_version_ | 1784636728038916096 |
---|---|
author | Tanwar, Rohit Nandal, Neha Zamani, Mazdak Manaf, Azizah Abdul |
author_facet | Tanwar, Rohit Nandal, Neha Zamani, Mazdak Manaf, Azizah Abdul |
author_sort | Tanwar, Rohit |
collection | PubMed |
description | Falling is one of the most serious health risk problems throughout the world for elderly people. Considerable expenses are allocated for the treatment of after-fall injuries and emergency services after a fall. Fall risks and their effects would be substantially reduced if a fall is predicted or detected accurately on time and prevented by providing timely help. Various methods have been proposed to prevent or predict falls in elderly people. This paper systematically reviews all the publications, projects, and patents around the world in the field of fall prediction, fall detection, and fall prevention. The related works are categorized based on the methodology which they used, their types, and their achievements. |
format | Online Article Text |
id | pubmed-8776012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87760122022-01-21 Pathway of Trends and Technologies in Fall Detection: A Systematic Review Tanwar, Rohit Nandal, Neha Zamani, Mazdak Manaf, Azizah Abdul Healthcare (Basel) Review Falling is one of the most serious health risk problems throughout the world for elderly people. Considerable expenses are allocated for the treatment of after-fall injuries and emergency services after a fall. Fall risks and their effects would be substantially reduced if a fall is predicted or detected accurately on time and prevented by providing timely help. Various methods have been proposed to prevent or predict falls in elderly people. This paper systematically reviews all the publications, projects, and patents around the world in the field of fall prediction, fall detection, and fall prevention. The related works are categorized based on the methodology which they used, their types, and their achievements. MDPI 2022-01-17 /pmc/articles/PMC8776012/ /pubmed/35052335 http://dx.doi.org/10.3390/healthcare10010172 Text en © 2022 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 | Review Tanwar, Rohit Nandal, Neha Zamani, Mazdak Manaf, Azizah Abdul Pathway of Trends and Technologies in Fall Detection: A Systematic Review |
title | Pathway of Trends and Technologies in Fall Detection: A Systematic Review |
title_full | Pathway of Trends and Technologies in Fall Detection: A Systematic Review |
title_fullStr | Pathway of Trends and Technologies in Fall Detection: A Systematic Review |
title_full_unstemmed | Pathway of Trends and Technologies in Fall Detection: A Systematic Review |
title_short | Pathway of Trends and Technologies in Fall Detection: A Systematic Review |
title_sort | pathway of trends and technologies in fall detection: a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776012/ https://www.ncbi.nlm.nih.gov/pubmed/35052335 http://dx.doi.org/10.3390/healthcare10010172 |
work_keys_str_mv | AT tanwarrohit pathwayoftrendsandtechnologiesinfalldetectionasystematicreview AT nandalneha pathwayoftrendsandtechnologiesinfalldetectionasystematicreview AT zamanimazdak pathwayoftrendsandtechnologiesinfalldetectionasystematicreview AT manafazizahabdul pathwayoftrendsandtechnologiesinfalldetectionasystematicreview |