<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-07-21T16:42:21Z</responseDate><request verb="GetRecord" identifier="oai:repisalud.isciii.es:20.500.12105/23248" metadataPrefix="marc">https://repisalud.isciii.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:repisalud.isciii.es:20.500.12105/23248</identifier><datestamp>2024-11-28T22:18:39Z</datestamp><setSpec>com_20.500.12105_15322</setSpec><setSpec>com_20.500.12105_2051</setSpec><setSpec>col_20.500.12105_16967</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">Ayed, Ines</subfield>
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      <subfield code="a">Jaume-i-Capo, Antoni</subfield>
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      <subfield code="a">Martínez-Bueso, Pau</subfield>
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      <subfield code="a">Mir, Arnau</subfield>
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      <subfield code="a">Moya-Alcover, Gabriel</subfield>
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      <subfield code="c">2021-07</subfield>
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      <subfield code="a">To prevent falls, it is important to measure periodically the balance ability of an individual using reliable clinical tests. As Red Green Blue Depth (RGBD) devices have been increasingly used for balance rehabilitation at home, they may also be used to assess objectively the balance ability and determine the effectiveness of a therapy. For this, we developed a system based on the Microsoft Kinect v2 for measuring the Functional Reach Test (FRT); one of the most used balance clinical tools to predict falls. Two experiments were conducted to compare the FRT measures computed by our system using the Microsoft Kinect v2 with those obtained by the standard method, i.e., manually. In terms of validity, we found a very strong correlation between the two methods (r = 0.97 and r = 0.99 (p &lt; 0.05), for experiments 1 and 2, respectively). However, we needed to correct the measurements using a linear model to fit the data obtained by the Kinect system. Consequently, a linear regression model has been applied and examining the regression assumptions showed that the model works well for the data. Applying the paired t-test to the data after correction indicated that there is no statistically significant difference between the measurements obtained by both methods. As for the reliability of the test, we obtained good to excellent within repeatability of the FRT measurements tracked by Kinect (ICC = 0.86 and ICC = 0.99, for experiments 1 and 2, respectively). These results suggested that the Microsoft Kinect v2 device is reliable and adequate to calculate the standard FRT.</subfield>
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      <subfield code="a">Ayed I, Jaume-i-Capo A, Martinez-Bueso P, Mir A, Moya-Alcover G. Balance Measurement Using Microsoft Kinect v2: Towards Remote Evaluation of Patient with the Functional Reach Test. Appl Sci-Basel. 2021 Jul;11(13):6073.</subfield>
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      <subfield code="a">Applied Sciences-Basel</subfield>
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      <subfield code="a">https://hdl.handle.net/20.500.12105/23248</subfield>
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      <subfield code="a">Health care</subfield>
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      <subfield code="a">Balance</subfield>
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      <subfield code="a">Functional reach test</subfield>
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      <subfield code="a">Balance Measurement Using Microsoft Kinect v2: Towards Remote Evaluation of Patient with the Functional Reach Test</subfield>
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