Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/33509
DC FieldValueLanguage
dc.contributor.authorFrancisco, Luísen_US
dc.contributor.authorDuarte, Joãoen_US
dc.contributor.authorGodinho, António Nunesen_US
dc.contributor.authorZdravevski, Eftimen_US
dc.contributor.authorAlbuquerque, Carlosen_US
dc.contributor.authorPires, Ivan Miguelen_US
dc.contributor.authorCoelho, Paulo Jorgeen_US
dc.date.accessioned2025-05-13T06:30:02Z-
dc.date.available2025-05-13T06:30:02Z-
dc.date.issued2024-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/33509-
dc.description.abstractThe measurement of Functional Reach Test (FRT) is a widely used assessment tool in various fields, including physical therapy, rehabilitation, and geriatrics. This test evaluates a person's balance, mobility, and functional ability to reach forward while maintaining stability. Recently, there has been a growing interest in utilizing sensor-based systems to objectively and accurately measure FRT results. This systematic review was performed in various scientific databases or publishers, including PubMed Central, IEEE Explore, Elsevier, Springer, the Multidisciplinary Digital Publishing Institute (MDPI), and the Association for Computing Machinery (ACM), and considered studies published between January 2017 and October 2022, related to methods for the automation of the measurement of the Functional Reach Test variables and results with sensors. Camera-based devices and motion-based sensors are used for Functional Reach Tests, with statistical models extracting meaningful information. Sensor-based systems offer several advantages over traditional manual measurement techniques, as they can provide objective and precise measurements of the reach distance, quantify postural sway, and capture additional parameters related to the movement.en_US
dc.language.isoenen_US
dc.publisherPeerJen_US
dc.relation.ispartofPeerJ. Computer scienceen_US
dc.titleSensor-based systems for the measurement of Functional Reach Test results: a systematic reviewen_US
dc.identifier.doi10.7717/peerj-cs.1823-
dc.identifier.urlhttps://peerj.com/articles/cs-1823.pdf-
dc.identifier.urlhttps://peerj.com/articles/cs-1823.xml-
dc.identifier.urlhttps://peerj.com/articles/cs-1823.html-
dc.identifier.urlhttps://peerj.com/articles/cs-1823.pdf-
dc.identifier.volume10-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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