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The timed up & go test sit-to-stand transition: Which signals measured by inertial sensors are a viable route for continuous analysis?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F21%3A10425586" target="_blank" >RIV/00216208:11110/21:10425586 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21460/21:00345529 RIV/00064165:_____/21:10425586

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=287fmVwlC9" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=287fmVwlC9</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.gaitpost.2020.11.006" target="_blank" >10.1016/j.gaitpost.2020.11.006</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The timed up & go test sit-to-stand transition: Which signals measured by inertial sensors are a viable route for continuous analysis?

  • Original language description

    Background: The Timed Up and Go test is a well-known clinical test for assessing of mobility and fall risk. It has been shown that the IMU which use an accelerometer and gyroscope are capable of analysing the quantitative parameters of the sit-to-stand transition. Research question: Which signals obtained by the inertial sensors are suitable for continuous Timed Up &amp; Go test sit-to-stand transition analysis? Methods: In the study we included 29 older adult volunteers and 31 de-novo Parkinson disease (PD) patients. All subjects performed an instrumented extended TUG wearing a gyro-accelerometer. The sit-to-stand transition was detected from an angular velocity signal. The sit-to-stand signal pattern within the subject group was analyzed via an intra-class correlation between curves. Inter-subjects&apos; variability was visualized using prediction bands. Results: The angular velocity about the pitch axis exhibited the best signal match across subjects in both groups (0.50 &lt; ICC &lt; 0.75). When analysing acceleration, the acceleration along the antero-posterior axis showed moderate inter-subjects signal pattern match (0.50 &lt; ICC &lt; 0.75) in the reference group. The analysis of other signals revealed a poor signal pattern in both subject groups. Significance: For optimal interpretation of the analysis of continuous curves, the signal pattern must be considered. Also, the inter-subject variability along this pattern can be informative and useful.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Gait and Posture

  • ISSN

    0966-6362

  • e-ISSN

  • Volume of the periodical

    84

  • Issue of the periodical within the volume

    February

  • Country of publishing house

    IE - IRELAND

  • Number of pages

    3

  • Pages from-to

    8-10

  • UT code for WoS article

    000620787200002

  • EID of the result in the Scopus database

    2-s2.0-85097423489