Literature DB >> 31330459

Optimized scoring tool to quantify the functional performance during the sit-to-stand transition with a magneto-inertial measurement unit.

Kevin Lepetit1, Khalil Ben Mansour1, Adrien Letocart1, Sofiane Boudaoud1, Kiyoka Kinugawa2, Jean-François Grosset3, Frédéric Marin4.   

Abstract

BACKGROUND: Sit-to-stand is used as a qualitative test to evaluate functional performance, especially to detect fall risks and frail individuals. The use of various quantitative criteria would enable a better understanding of musculoskeletal deficits and movement strategy modifications. This quantification was proven possible with a magneto-inertial unit which provides a compatible wearable device for clinical routine motion analysis.
METHODS: Sit-to-stand movements were recorded using a single magneto-inertial measurement unit fixed on the chest for 74 subjects in three groups healthy young, healthy senior and frail. MIMU data was used to compute 15 spatiotemporal, kinematic and energetic parameters. Nonparametric statistical test showed a significant influence of age and frailness. After reducing the number of parameters by a principal component analysis, an AgingScore and a FrailtyScore were computed.
FINDINGS: The fraction of variance explained by the first principal component was 77.48 ± 2.80% for principal component analysis with healthy young and healthy senior groups, and 74.94 ± 2.24% with healthy and frail senior groups. By receiver operating characteristic curve analysis of this score, we were able to refine the analysis to differentiate between healthy young and healthy senior subjects as well as healthy senior and frail subjects. By radar plot of the most discriminate parameters, the motion's strategy could be characterized and be used to detect premature functional deficit or frail subjects.
INTERPRETATION: Sit-to-stand measured by a single magneto-inertial unit and dedicated post processing is able to quantify subject's musculoskeletal performance and will allow longitudinal investigation of aging population.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Age; Biomechanics; Frailty; Magneto-inertial measurement unit; Sit-to-stand

Year:  2019        PMID: 31330459     DOI: 10.1016/j.clinbiomech.2019.07.012

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  4 in total

1.  Predicting Sarcopenia of Female Elderly from Physical Activity Performance Measurement Using Machine Learning Classifiers.

Authors:  Jeong Bae Ko; Kwang Bok Kim; Young Sub Shin; Hun Han; Sang Kuy Han; Duk Young Jung; Jae Soo Hong
Journal:  Clin Interv Aging       Date:  2021-09-27       Impact factor: 4.458

2.  Postural transitions detection and characterization in healthy and patient populations using a single waist sensor.

Authors:  Arash Atrsaei; Farzin Dadashi; Clint Hansen; Elke Warmerdam; Benoît Mariani; Walter Maetzler; Kamiar Aminian
Journal:  J Neuroeng Rehabil       Date:  2020-06-03       Impact factor: 4.262

3.  Machine Learning-Based Predicted Age of the Elderly on the Instrumented Timed Up and Go Test and Six-Minute Walk Test.

Authors:  Jeong Bae Ko; Jae Soo Hong; Young Sub Shin; Kwang Bok Kim
Journal:  Sensors (Basel)       Date:  2022-08-09       Impact factor: 3.847

Review 4.  How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review.

Authors:  Grainne Vavasour; Oonagh M Giggins; Julie Doyle; Daniel Kelly
Journal:  J Neuroeng Rehabil       Date:  2021-07-08       Impact factor: 4.262

  4 in total

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