Waveform skewness: Parameter for timed Up & Go turn assessment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F19%3A10395501" target="_blank" >RIV/00064165:_____/19:10395501 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/19:10395501 RIV/68407700:21460/19:00333896

Result on the web

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

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.bspc.2019.04.035" target="_blank" >10.1016/j.bspc.2019.04.035</a>

Result language

angličtina

Original language name

Waveform skewness: Parameter for timed Up & Go turn assessment

Original language description

Turning is an essential part of human movement. Turning manoeuvres are affected by age, neurological disorders, or frailty. Analyses of the walking turn and its alterations could provide valuable information about functional independence. Most studies involving wearable sensors quantify the turn by descriptive statistical values such as the mean or maximum of the signal. Along with growing interest in walking turn analysis, new parameters should be proposed. From statistics we adapted a parameter, referred to as waveform skewness, that describes the shape of the 180 degrees turn signal. This parameter is then compared to established ones and an intraclass-correlation is calculated. The mutual relationship between the proposed parameter and established ones is investigated via correlation. In addition, the effect of different circumstances (temporal alignment, signal scaling and time shift) to the proposed parameter is quantified. Waveform skewness showed a moderate intra-class correlation and a high correlation with the signal peak value. The results showed that waveform skewness is not sensitive to the time shift but is sensitive to signal scaling and temporal alignment. Comparing the waveform skewness between the two subject groups revealed significant differences between Parkinson disease patients and the control group. Quantitative assessment of the 180 degrees turn may allow for more objective and sensitive determinations of movement disorders and pathologies.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30103 - Neurosciences (including psychophysiology)

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)

Publication year

2019

Confidentiality

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

Name of the periodical

Biomedical Signal Processing and Control

ISSN

1746-8094

e-ISSN

—

Volume of the periodical

52

Issue of the periodical within the volume

July

Country of publishing house

GB - UNITED KINGDOM

Number of pages

6

Pages from-to

347-352

UT code for WoS article

000473381100036

EID of the result in the Scopus database

2-s2.0-85065400688