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

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Gait and Posture

ISSN

0966-6362

e-ISSN

—

Svazek periodika

84

Číslo periodika v rámci svazku

February

Stát vydavatele periodika

IE - Irsko

Počet stran výsledku

3

Strana od-do

8-10

Kód UT WoS článku

000620787200002

EID výsledku v databázi Scopus

2-s2.0-85097423489