Literature DB >> 27017301

The validity of assessing temporal events, sub-phases and trunk kinematics of the sit-to-walk movement in older adults using a single inertial sensor.

Stefan Walgaard1, Gert S Faber2, Rob C van Lummel3, Jaap H van Dieën2, Idsart Kingma2.   

Abstract

The aim of this study was to develop a method to identify temporal events, sub-phases and trunk kinematics of the sit-to-walk (STW) using a single inertial sensor (IS) worn at the lower back and to determine the validity of this method. Twenty-seven healthy older adults performed a STW movement, which started from sitting in a chair and included walking 3m. Participants׳ movements were recorded with the IS, a reference measurement system consisting of an optical motion capture system (3 markers on the IS and one on each foot) and on-off switches located in the seat of the chair. Using the data from the IS and the reference measurement systems, the following signals and variables were calculated and compared: 3D IS motion (accelerations, velocities, displacements and angles), temporal events (start of trunk movement, seat-off, end of trunk flexion phase, end of trunk rising phase and gait initiation) and trunk kinematics (flexion range, maximum flexion velocity, maximum forward velocity and forward velocity during seat-off and at first heel-strike and maximum vertical velocity and vertical velocity at first heel-strike). For most variables acceptable differences (RMSE<10%) were found between IS and reference measurement systems, except for sideways displacements and non-sagittal plane rotations. Furthermore, good results were found for temporal event detection, with ICC values for all variables being 0.988 or higher. With exception of the vertical velocity at heel-strike agreement for trunk kinematics was high, with ICC values being 0.867 or higher.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3D motion validity; Accelerometers; Gyroscopes; Inertial sensor; Sit-to-walk

Mesh:

Year:  2016        PMID: 27017301     DOI: 10.1016/j.jbiomech.2016.03.010

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  8 in total

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Journal:  PLoS One       Date:  2016-04-07       Impact factor: 3.240

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Journal:  Med Biol Eng Comput       Date:  2021-06-26       Impact factor: 2.602

Review 7.  Wearable technology for spine movement assessment: A systematic review.

Authors:  Enrica Papi; Woon Senn Koh; Alison H McGregor
Journal:  J Biomech       Date:  2017-10-07       Impact factor: 2.712

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  8 in total

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