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Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic R...

Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic R...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_54bea644b15f47088280d284f5116350

Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic Review

About this item

Full title

Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic Review

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-01, Vol.23 (3), p.1323

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

In the US, at least one fall occurs in at least 28.7% of community-dwelling seniors 65 and older each year. Falls had medical costs of USD 51 billion in 2015 and are projected to reach USD 100 billion by 2030. This review aims to discuss the extent of smartphone (SP) usage in fall detection and prevention across a range of care settings. A computer...

Alternative Titles

Full title

Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic Review

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_54bea644b15f47088280d284f5116350

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_54bea644b15f47088280d284f5116350

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23031323

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