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Posture Monitoring for Health Care of Bedridden Elderly Patients Using 3D Human Skeleton Analysis vi...

Posture Monitoring for Health Care of Bedridden Elderly Patients Using 3D Human Skeleton Analysis vi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e74708f2d8c14c2caca5230677d392fc

Posture Monitoring for Health Care of Bedridden Elderly Patients Using 3D Human Skeleton Analysis via Machine Learning Approach

About this item

Full title

Posture Monitoring for Health Care of Bedridden Elderly Patients Using 3D Human Skeleton Analysis via Machine Learning Approach

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2022-03, Vol.12 (6), p.3087

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

For bedridden elderly people, pressure ulcer is the most common and serious complication and could be prevented by regular repositioning. However, due to a shortage of long-term care workers, repositioning might not be implemented as often as required. Posture monitoring by using modern health/medical caring technology can potentially solve this pr...

Alternative Titles

Full title

Posture Monitoring for Health Care of Bedridden Elderly Patients Using 3D Human Skeleton Analysis via Machine Learning Approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e74708f2d8c14c2caca5230677d392fc

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e74708f2d8c14c2caca5230677d392fc

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app12063087

How to access this item